https://apgc.awi.de/catalog.n3
type: PagedCollection
items per page: 100
last: https://apgc.awi.de/catalog.n3
last page: https://apgc.awi.de/catalog.n3
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next page: https://apgc.awi.de/catalog.n3
total items: 480

Arctic Permafrost Geospatial Centre
type: Catalog
language: en
modified: 2026-03-23T13:54:52.962870

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Noatak Valley, Alaska (subset 04)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 23.83 pts/m² and 8.42 pts/m², respectively. This dataset covers approximately 13.36 km² of the northern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:33:48.869108
modified: 2026-02-26T11:16:42.740416
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962725

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:33:48.872393
modified: 2026-02-26T11:16:42.762512

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:33:48.872405
modified: 2026-02-26T11:16:42.763095

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:33:48.872409
modified: 2026-02-26T11:16:42.763302
access URL: https://download.pangaea.de/dataset/962725/files/WA_NoatakValleyN_20210702_7cm_04_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:33:48.872406
modified: 2026-02-26T11:16:42.763164
access URL: https://download.pangaea.de/dataset/962725/files/WA_NoatakValleyN_20210702_7cm_04_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:33:48.872400
modified: 2026-02-26T11:16:42.762807

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:33:48.872402
modified: 2026-02-26T11:16:42.762945

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:33:48.872401
modified: 2026-02-26T11:16:42.762877
access URL: https://download.pangaea.de/dataset/962725/files/WA_NoatakValleyN_20210702_7cm_04_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:33:48.872408
modified: 2026-02-26T11:16:42.763235
access URL: https://download.pangaea.de/dataset/962725/files/WA_NoatakValleyN_20210702_7cm_04_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:33:48.872398
modified: 2026-02-26T11:16:42.762734

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:33:48.872397
modified: 2026-02-26T11:16:42.762639

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:33:48.872404
modified: 2026-02-26T11:16:42.763013
access URL: https://download.pangaea.de/dataset/962725/files/WA_NoatakValleyN_20210702_7cm_04_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 05)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 20.17 pts/m² and 7.11 pts/m², respectively. This dataset covers approximately 8.63 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:36:55.216895
modified: 2026-02-26T11:16:49.124923
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962194

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:36:55.220556
modified: 2026-02-26T11:16:49.184890
access URL: https://download.pangaea.de/dataset/962194/files/NA_TeshekpukLakeNorth_20190723_7cm_05_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:36:55.220580
modified: 2026-02-26T11:16:49.186962
access URL: https://download.pangaea.de/dataset/962194/files/NA_TeshekpukLakeNorth_20190723_7cm_05_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:36:55.220563
modified: 2026-02-26T11:16:49.186463

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:36:55.220554
modified: 2026-02-26T11:16:49.184600

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:36:55.220561
modified: 2026-02-26T11:16:49.185875
access URL: https://download.pangaea.de/dataset/962194/files/NA_TeshekpukLakeNorth_20190723_7cm_05_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:36:55.220549
modified: 2026-02-26T11:16:49.183730

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:36:55.220544
modified: 2026-02-26T11:16:49.183373

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:36:55.220578
modified: 2026-02-26T11:16:49.186812
access URL: https://download.pangaea.de/dataset/962194/files/NA_TeshekpukLakeNorth_20190723_7cm_05_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:36:55.220552
modified: 2026-02-26T11:16:49.184323

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:36:55.220559
modified: 2026-02-26T11:16:49.185142

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:36:55.220575
modified: 2026-02-26T11:16:49.186659
access URL: https://download.pangaea.de/dataset/962194/files/NA_TeshekpukLakeNorth_20190723_7cm_05_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Drew Point, Alaska (subset 01)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.89 pts/m² and 3.27 pts/m², respectively. This dataset covers approximately 17.38 km² of Drew Point in Alaska, with all images collected on 30 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:15:31.924416
modified: 2026-02-26T11:15:39.909918
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962559

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:15:31.928791
modified: 2026-02-26T11:15:39.917630

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:15:31.928781
modified: 2026-02-26T11:15:39.917484

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:15:31.928811
modified: 2026-02-26T11:15:39.917992
access URL: https://download.pangaea.de/dataset/962559/files/NA_DrewPoint_20190730_10cm_01_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:15:31.928795
modified: 2026-02-26T11:15:39.917705
access URL: https://download.pangaea.de/dataset/962559/files/NA_DrewPoint_20190730_10cm_01_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:15:31.928772
modified: 2026-02-26T11:15:39.917375

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:15:31.928799
modified: 2026-02-26T11:15:39.917785

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:15:31.928807
modified: 2026-02-26T11:15:39.917927

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:15:31.928803
modified: 2026-02-26T11:15:39.917863
access URL: https://download.pangaea.de/dataset/962559/files/NA_DrewPoint_20190730_10cm_01_DSM_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:15:31.928815
modified: 2026-02-26T11:15:39.918057
access URL: https://download.pangaea.de/dataset/962559/files/NA_DrewPoint_20190730_10cm_01_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:15:31.928820
modified: 2026-02-26T11:15:39.918120
access URL: https://download.pangaea.de/dataset/962559/files/NA_DrewPoint_20190730_10cm_01_processing_info.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:15:31.928786
modified: 2026-02-26T11:15:39.917559

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 03)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.57 pts/m² and 3.00 pts/m², respectively. This dataset covers approximately 15.08 km² of the central North Slope in Alaska, with all images collected on 29 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:10:24.799923
modified: 2026-02-26T11:16:05.298308
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962543

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:10:24.808350
modified: 2026-02-26T11:16:05.361618
access URL: https://download.pangaea.de/dataset/962543/files/NA_NorthSlopeCentral_20190729_10cm_03_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:24.808349
modified: 2026-02-26T11:16:05.361553

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:24.808347
modified: 2026-02-26T11:16:05.361486
access URL: https://download.pangaea.de/dataset/962543/files/NA_NorthSlopeCentral_20190729_10cm_03_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:10:24.808337
modified: 2026-02-26T11:16:05.360993

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:24.808343
modified: 2026-02-26T11:16:05.361271

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:10:24.808352
modified: 2026-02-26T11:16:05.361683
access URL: https://download.pangaea.de/dataset/962543/files/NA_NorthSlopeCentral_20190729_10cm_03_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:10:24.808342
modified: 2026-02-26T11:16:05.361189

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:24.808346
modified: 2026-02-26T11:16:05.361406

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:10:24.808353
modified: 2026-02-26T11:16:05.361746
access URL: https://download.pangaea.de/dataset/962543/files/NA_NorthSlopeCentral_20190729_10cm_03_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:24.808345
modified: 2026-02-26T11:16:05.361340
access URL: https://download.pangaea.de/dataset/962543/files/NA_NorthSlopeCentral_20190729_10cm_03_Ortho_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:10:24.808340
modified: 2026-02-26T11:16:05.361113

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 7.85 pts/m² and 2.66 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:24:47.249602
modified: 2026-02-26T11:16:31.533358
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962838

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:24:47.277885
modified: 2026-02-26T11:16:31.542200

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:47.277893
modified: 2026-02-26T11:16:31.542473

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:24:47.277900
modified: 2026-02-26T11:16:31.542826
access URL: https://download.pangaea.de/dataset/962838/files/WA_SPCKougarok01_20210710_10cm_03_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:47.277895
modified: 2026-02-26T11:16:31.542618

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:47.277894
modified: 2026-02-26T11:16:31.542547
access URL: https://download.pangaea.de/dataset/962838/files/WA_SPCKougarok01_20210710_10cm_03_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:47.277897
modified: 2026-02-26T11:16:31.542689
access URL: https://download.pangaea.de/dataset/962838/files/WA_SPCKougarok01_20210710_10cm_03_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:47.277898
modified: 2026-02-26T11:16:31.542757

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:24:47.277889
modified: 2026-02-26T11:16:31.542314

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:24:47.277902
modified: 2026-02-26T11:16:31.542962
access URL: https://download.pangaea.de/dataset/962838/files/WA_SPCKougarok01_20210710_10cm_03_processing_info.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:24:47.277901
modified: 2026-02-26T11:16:31.542894
access URL: https://download.pangaea.de/dataset/962838/files/WA_SPCKougarok01_20210710_10cm_03_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:24:47.277891
modified: 2026-02-26T11:16:31.542398

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 03)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 35.84 pts/m² and 12.29 pts/m², respectively. This dataset covers approximately 9.60 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:15:16.563463
modified: 2026-02-26T11:16:17.642226
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962278

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567057
modified: 2026-02-26T11:16:17.659607

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:15:16.567061
modified: 2026-02-26T11:16:17.659802
access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_PointClouds_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:15:16.567050
modified: 2026-02-26T11:16:17.659324

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:15:16.567047
modified: 2026-02-26T11:16:17.659214

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567054
modified: 2026-02-26T11:16:17.659470

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:15:16.567063
modified: 2026-02-26T11:16:17.659931
access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567055
modified: 2026-02-26T11:16:17.659540
access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567059
modified: 2026-02-26T11:16:17.659736

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567058
modified: 2026-02-26T11:16:17.659672
access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:15:16.567052
modified: 2026-02-26T11:16:17.659399

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:15:16.567062
modified: 2026-02-26T11:16:17.659867
access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_tile_footprints.geojson

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 07)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 37.42 pts/m² and 12.65 pts/m², respectively. This dataset covers approximately 9.39 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:18:24.497378
modified: 2026-02-26T11:16:22.882189
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962317

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:18:24.499719
modified: 2026-02-26T11:16:22.891035
access URL: https://download.pangaea.de/dataset/962317/files/NA_KetikFire_20190727_7cm_07_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:18:24.499714
modified: 2026-02-26T11:16:22.890748

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:18:24.499725
modified: 2026-02-26T11:16:22.891418
access URL: https://download.pangaea.de/dataset/962317/files/NA_KetikFire_20190727_7cm_07_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:18:24.499716
modified: 2026-02-26T11:16:22.890897
access URL: https://download.pangaea.de/dataset/962317/files/NA_KetikFire_20190727_7cm_07_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:18:24.499718
modified: 2026-02-26T11:16:22.890967

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:18:24.499723
modified: 2026-02-26T11:16:22.891307
access URL: https://download.pangaea.de/dataset/962317/files/NA_KetikFire_20190727_7cm_07_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:18:24.499715
modified: 2026-02-26T11:16:22.890821

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:18:24.499722
modified: 2026-02-26T11:16:22.891181
access URL: https://download.pangaea.de/dataset/962317/files/NA_KetikFire_20190727_7cm_07_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:18:24.499708
modified: 2026-02-26T11:16:22.890515

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:18:24.499721
modified: 2026-02-26T11:16:22.891103

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:18:24.499712
modified: 2026-02-26T11:16:22.890657

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Lake Basins on the Northern Seward Peninsula, Alaska (West, subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.82 pts/m² and 3.04 pts/m², respectively. This dataset covers approximately 15.38 km² of drained thermokarst lake basins on the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:20:18.063756
modified: 2026-02-26T11:15:46.240762
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Dtlb
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962777

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:20:18.065995
modified: 2026-02-26T11:15:46.249719
access URL: https://download.pangaea.de/dataset/962777/files/WA_SPNorthDTLBWest_20210709_10cm_02_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:20:18.065982
modified: 2026-02-26T11:15:46.249092

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:20:18.065997
modified: 2026-02-26T11:15:46.249786
access URL: https://download.pangaea.de/dataset/962777/files/WA_SPNorthDTLBWest_20210709_10cm_02_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:20:18.065993
modified: 2026-02-26T11:15:46.249584
access URL: https://download.pangaea.de/dataset/962777/files/WA_SPNorthDTLBWest_20210709_10cm_02_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:20:18.065994
modified: 2026-02-26T11:15:46.249651

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:20:18.065990
modified: 2026-02-26T11:15:46.249444
access URL: https://download.pangaea.de/dataset/962777/files/WA_SPNorthDTLBWest_20210709_10cm_02_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:20:18.065987
modified: 2026-02-26T11:15:46.249298

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:20:18.065998
modified: 2026-02-26T11:15:46.249881
access URL: https://download.pangaea.de/dataset/962777/files/WA_SPNorthDTLBWest_20210709_10cm_02_processing_info.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:20:18.065986
modified: 2026-02-26T11:15:46.249222

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:20:18.065991
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
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issued: 2026-02-24T16:20:18.065989
modified: 2026-02-26T11:15:46.249373

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 07)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 19.66 pts/m² and 7.26 pts/m², respectively. This dataset covers approximately 9.94 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:38:37.764815
modified: 2026-02-26T11:16:52.574787
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962222

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:38:37.766976
modified: 2026-02-26T11:16:52.591964

Cloud-optimized GeoTIFF of Ortho
type: Distribution
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issued: 2026-02-24T17:38:37.766979
modified: 2026-02-26T11:16:52.592229

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:38:37.766972
modified: 2026-02-26T11:16:52.591790

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:38:37.766985
modified: 2026-02-26T11:16:52.592690

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:38:37.766987
modified: 2026-02-26T11:16:52.592917
access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:38:37.766978
modified: 2026-02-26T11:16:52.592103

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:38:37.766989
modified: 2026-02-26T11:16:52.593030
access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:38:37.766981
modified: 2026-02-26T11:16:52.592349
access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:38:37.766982
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:38:37.766986
modified: 2026-02-26T11:16:52.592804
access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:38:37.766983
modified: 2026-02-26T11:16:52.592579
access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_DSM_tiles.zip

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Fedorov-Davydov'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:24.043685
modified: 2026-03-23T13:49:54.250459
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.982977

982977_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:06:30.654807
modified: 2026-03-23T13:49:25.652088
access URL: https://apgc.awi.de/dataset/19267408-4a91-42f5-9c52-be5289154859/resource/06df235b-0120-4c1e-bde1-1e33ba34a3c2/download/982977_data.csv
byte size: 51521
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thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:24.046743
modified: 2026-03-18T15:06:30.641483
access URL: https://doi.pangaea.de/10.1594/PANGAEA.982977

Preview
type: Distribution
format: PNG
issued: 2026-03-23T13:49:25.670111
modified: 2026-03-23T13:49:25.652291
byte size: 165563
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Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 05)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 37.02 pts/m² and 11.77 pts/m², respectively. This dataset covers approximately 9.49 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:16:38.396167
modified: 2026-02-26T11:16:20.012186
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962297

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:16:38.404055
modified: 2026-02-26T11:16:20.022946
access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_tile_footprints.geojson

Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:16:38.404051
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Cloud-optimized GeoTIFF of DSM
type: Distribution
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issued: 2026-02-24T17:16:38.404047
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:16:38.404043
modified: 2026-02-26T11:16:20.022546

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:16:38.404057
modified: 2026-02-26T11:16:20.023012
access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:16:38.404034
modified: 2026-02-26T11:16:20.022246

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:16:38.404039
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:16:38.404053
modified: 2026-02-26T11:16:20.022881
access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:16:38.404041
modified: 2026-02-26T11:16:20.022459

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:16:38.404049
modified: 2026-02-26T11:16:20.022750
access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_DSM_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:16:38.404045
modified: 2026-02-26T11:16:20.022615
access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Baldwin Peninsula, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.88 pts/m² and 1.39 pts/m², respectively. This dataset covers approximately 25.53 km² of the southern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:44:45.191963
modified: 2026-02-26T11:17:01.023945
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962674

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:44:45.194316
modified: 2026-02-26T11:17:01.033778
access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_processing_info.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.194304
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:44:45.194315
modified: 2026-02-26T11:17:01.033694
access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194311
modified: 2026-02-26T11:17:01.033415
access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194306
modified: 2026-02-26T11:17:01.033176

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194309
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Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.194305
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:44:45.194313
modified: 2026-02-26T11:17:01.033593
access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.194300
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GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194308
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access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194312
modified: 2026-02-26T11:17:01.033515

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 08)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 36.11 pts/m² and 12.70 pts/m², respectively. This dataset covers approximately 9.49 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:19:30.079340
modified: 2026-02-26T11:16:23.746951
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962320

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:19:30.081734
modified: 2026-02-26T11:16:23.760022

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:19:30.081738
modified: 2026-02-26T11:16:23.760431
access URL: https://download.pangaea.de/dataset/962320/files/NA_KetikFire_20190727_7cm_08_processing_info.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:19:30.081737
modified: 2026-02-26T11:16:23.760304
access URL: https://download.pangaea.de/dataset/962320/files/NA_KetikFire_20190727_7cm_08_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:19:30.081725
modified: 2026-02-26T11:16:23.759282

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:19:30.081728
modified: 2026-02-26T11:16:23.759542

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:19:30.081721
modified: 2026-02-26T11:16:23.759109

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:19:30.081735
modified: 2026-02-26T11:16:23.760181
access URL: https://download.pangaea.de/dataset/962320/files/NA_KetikFire_20190727_7cm_08_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:19:30.081732
modified: 2026-02-26T11:16:23.759904
access URL: https://download.pangaea.de/dataset/962320/files/NA_KetikFire_20190727_7cm_08_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:19:30.081727
modified: 2026-02-26T11:16:23.759414

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:19:30.081730
modified: 2026-02-26T11:16:23.759665
access URL: https://download.pangaea.de/dataset/962320/files/NA_KetikFire_20190727_7cm_08_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:19:30.081731
modified: 2026-02-26T11:16:23.759785

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 04)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 13.04 pts/m² and 4.48 pts/m², respectively. This dataset covers approximately 16.83 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:12:11.713459
modified: 2026-02-26T11:16:12.257856
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Lava Field
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962799

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:12:11.724680
modified: 2026-02-26T11:16:12.273346

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:11.724687
modified: 2026-02-26T11:16:12.273679

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:12:11.724678
modified: 2026-02-26T11:16:12.273271

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:12:11.724688
modified: 2026-02-26T11:16:12.273756
access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_PointClouds_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:12:11.724689
modified: 2026-02-26T11:16:12.273845
access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:11.724681
modified: 2026-02-26T11:16:12.273414

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:11.724685
modified: 2026-02-26T11:16:12.273615
access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:11.724684
modified: 2026-02-26T11:16:12.273549

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:11.724682
modified: 2026-02-26T11:16:12.273483
access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:12:11.724691
modified: 2026-02-26T11:16:12.273917
access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:12:11.724675
modified: 2026-02-26T11:16:12.273163

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Drew Point, Alaska (subset 04)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 7.76 pts/m² and 2.95 pts/m², respectively. This dataset covers approximately 22.14 km² of Drew Point in Alaska, with all images collected on 30 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:17:34.666136
modified: 2026-02-26T11:15:43.104661
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962580

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:17:34.670150
modified: 2026-02-26T11:15:43.111241

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:17:34.670200
modified: 2026-02-26T11:15:43.114619
access URL: https://download.pangaea.de/dataset/962580/files/NA_DrewPoint_20190730_10cm_04_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:17:34.670192
modified: 2026-02-26T11:15:43.114311
access URL: https://download.pangaea.de/dataset/962580/files/NA_DrewPoint_20190730_10cm_04_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:34.670175
modified: 2026-02-26T11:15:43.111554
access URL: https://download.pangaea.de/dataset/962580/files/NA_DrewPoint_20190730_10cm_04_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:34.670187
modified: 2026-02-26T11:15:43.111803

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:34.670179
modified: 2026-02-26T11:15:43.111623

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:17:34.670196
modified: 2026-02-26T11:15:43.114459
access URL: https://download.pangaea.de/dataset/962580/files/NA_DrewPoint_20190730_10cm_04_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:34.670170
modified: 2026-02-26T11:15:43.111488

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:17:34.670166
modified: 2026-02-26T11:15:43.111419

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:17:34.670161
modified: 2026-02-26T11:15:43.111346

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:34.670183
modified: 2026-02-26T11:15:43.111688
access URL: https://download.pangaea.de/dataset/962580/files/NA_DrewPoint_20190730_10cm_04_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Cape Simpson, Alaska (subset 05)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 24.98 pts/m² and 9.42 pts/m², respectively. This dataset covers approximately 4,83 km² of Cape Simpson in Alaska, with all images collected on 19 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:14:31.117230
modified: 2026-02-26T11:15:38.913241
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962045

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:14:31.121145
modified: 2026-02-26T11:15:38.943682
access URL: https://download.pangaea.de/dataset/962045/files/NA_CapeSimpson_20190719_7cm_05_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:14:31.121135
modified: 2026-02-26T11:15:38.943124
access URL: https://download.pangaea.de/dataset/962045/files/NA_CapeSimpson_20190719_7cm_05_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:14:31.121116
modified: 2026-02-26T11:15:38.942169

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:14:31.121137
modified: 2026-02-26T11:15:38.943263

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:14:31.121142
modified: 2026-02-26T11:15:38.943538
access URL: https://download.pangaea.de/dataset/962045/files/NA_CapeSimpson_20190719_7cm_05_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:14:31.121125
modified: 2026-02-26T11:15:38.942532

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:14:31.121122
modified: 2026-02-26T11:15:38.942374

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:14:31.121130
modified: 2026-02-26T11:15:38.942838
access URL: https://download.pangaea.de/dataset/962045/files/NA_CapeSimpson_20190719_7cm_05_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:14:31.121140
modified: 2026-02-26T11:15:38.943401
access URL: https://download.pangaea.de/dataset/962045/files/NA_CapeSimpson_20190719_7cm_05_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:14:31.121128
modified: 2026-02-26T11:15:38.942690

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:14:31.121133
modified: 2026-02-26T11:15:38.942982

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 10)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 17.29 pts/m² and 6.46 pts/m², respectively. This dataset covers approximately 9.74 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:41:21.109704
modified: 2026-02-26T11:16:56.725691
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962230

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:41:21.113630
modified: 2026-02-26T11:16:56.735180
access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:41:21.113627
modified: 2026-02-26T11:16:56.735041
access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:41:21.113632
modified: 2026-02-26T11:16:56.735325
access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:41:21.113616
modified: 2026-02-26T11:16:56.734557

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:41:21.113628
modified: 2026-02-26T11:16:56.735111

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:41:21.113626
modified: 2026-02-26T11:16:56.734971

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:41:21.113624
modified: 2026-02-26T11:16:56.734899
access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:41:21.113622
modified: 2026-02-26T11:16:56.734752

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:41:21.113620
modified: 2026-02-26T11:16:56.734672

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:41:21.113631
modified: 2026-02-26T11:16:56.735248
access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:41:21.113623
modified: 2026-02-26T11:16:56.734826

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 02)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 36.63 pts/m² and 12.29 pts/m², respectively. This dataset covers approximately 9.49 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:14:15.667187
modified: 2026-02-26T11:16:16.650268
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962275

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:14:15.670897
modified: 2026-02-26T11:16:16.683317
access URL: https://download.pangaea.de/dataset/962275/files/NA_KetikFire_20190727_7cm_02_tile_footprints.geojson

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:14:15.670866
modified: 2026-02-26T11:16:16.682642

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:14:15.670891
modified: 2026-02-26T11:16:16.683187

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:14:15.670876
modified: 2026-02-26T11:16:16.682840

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:14:15.670900
modified: 2026-02-26T11:16:16.683382
access URL: https://download.pangaea.de/dataset/962275/files/NA_KetikFire_20190727_7cm_02_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:14:15.670894
modified: 2026-02-26T11:16:16.683252
access URL: https://download.pangaea.de/dataset/962275/files/NA_KetikFire_20190727_7cm_02_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:14:15.670882
modified: 2026-02-26T11:16:16.682986
access URL: https://download.pangaea.de/dataset/962275/files/NA_KetikFire_20190727_7cm_02_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:14:15.670885
modified: 2026-02-26T11:16:16.683054

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:14:15.670888
modified: 2026-02-26T11:16:16.683121
access URL: https://download.pangaea.de/dataset/962275/files/NA_KetikFire_20190727_7cm_02_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:14:15.670873
modified: 2026-02-26T11:16:16.682765

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:14:15.670879
modified: 2026-02-26T11:16:16.682911

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kobuk Delta, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 2.86 pts/m² and 1.10 pts/m², respectively. This dataset covers approximately 40.40 km² of the Kobuk Delta in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:21:20.127761
modified: 2026-02-26T11:16:26.478765
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962790

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:21:20.133893
modified: 2026-02-26T11:16:26.490246

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:21:20.133887
modified: 2026-02-26T11:16:26.489965

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:21:20.133888
modified: 2026-02-26T11:16:26.490042

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:21:20.133891
modified: 2026-02-26T11:16:26.490179
access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:21:20.133900
modified: 2026-02-26T11:16:26.490566
access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:21:20.133897
modified: 2026-02-26T11:16:26.490438
access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:21:20.133890
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:21:20.133898
modified: 2026-02-26T11:16:26.490501
access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:21:20.133894
modified: 2026-02-26T11:16:26.490311
access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:21:20.133895
modified: 2026-02-26T11:16:26.490375

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:21:20.133882
modified: 2026-02-26T11:16:26.489855

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Kitluk Coast, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.58 pts/m² and 3.06 pts/m², respectively. This dataset covers approximately 21.95 km² of the Kitluk Coast the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:27:33.273710
modified: 2026-02-26T11:16:35.525297
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Dtlb
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962784

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:27:33.278364
modified: 2026-02-26T11:16:35.534356
access URL: https://download.pangaea.de/dataset/962784/files/WA_SPNorthKitlukCoast_20210709_10cm_01_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:27:33.278365
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:27:33.278368
modified: 2026-02-26T11:16:35.534581

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:27:33.278366
modified: 2026-02-26T11:16:35.534495
access URL: https://download.pangaea.de/dataset/962784/files/WA_SPNorthKitlukCoast_20210709_10cm_01_DSM_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:27:33.278371
modified: 2026-02-26T11:16:35.534725
access URL: https://download.pangaea.de/dataset/962784/files/WA_SPNorthKitlukCoast_20210709_10cm_01_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:27:33.278369
modified: 2026-02-26T11:16:35.534657
access URL: https://download.pangaea.de/dataset/962784/files/WA_SPNorthKitlukCoast_20210709_10cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:27:33.278362
modified: 2026-02-26T11:16:35.534287

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:27:33.278359
modified: 2026-02-26T11:16:35.534140

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:27:33.278355
modified: 2026-02-26T11:16:35.534029

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:27:33.278361
modified: 2026-02-26T11:16:35.534216

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:27:33.278372
modified: 2026-02-26T11:16:35.534792
access URL: https://download.pangaea.de/dataset/962784/files/WA_SPNorthKitlukCoast_20210709_10cm_01_processing_info.zip

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. This is th…
issued: 2026-03-18T14:22:39.489990
modified: 2026-03-23T13:54:52.962870
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.973813

Preview
type: Distribution
format: PNG
issued: 2026-03-19T10:36:25.974438
modified: 2026-03-19T10:39:58.567646
byte size: 694441
media type: image/png

973813_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:08:04.323588
modified: 2026-03-19T10:36:25.954469
access URL: https://apgc.awi.de/dataset/44602462-e115-4946-8412-2d9040f2b60e/resource/bf2717ba-a490-4b22-8eca-1d3e16bd9bf4/download/973813_data.csv
byte size: 7624496
media type: text/csv

thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:22:39.493960
modified: 2026-03-18T15:08:04.309061
access URL: https://doi.pangaea.de/10.1594/PANGAEA.973813

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Anaktuvuk River Fire Scar (subset 05)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 23.22 pts/m² and 8.44 pts/m², respectively. This dataset covers approximately 6.21 km² of the Anaktuvuk River fire scar in Alaska, with all images collected on 22 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:26:46.659777
modified: 2026-02-26T11:15:55.186652
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Tundra
landing page: https://doi.org/10.1594/PANGAEA.962134

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:26:46.665913
modified: 2026-02-26T11:15:55.198091
access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_PointClouds_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:26:46.665916
modified: 2026-02-26T11:15:55.198326
access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_processing_info.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:26:46.665909
modified: 2026-02-26T11:15:55.197698

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:26:46.665910
modified: 2026-02-26T11:15:55.197843
access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:26:46.665903
modified: 2026-02-26T11:15:55.197161

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:26:46.665908
modified: 2026-02-26T11:15:55.197560
access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:26:46.665899
modified: 2026-02-26T11:15:55.196975

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:26:46.665906
modified: 2026-02-26T11:15:55.197426

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:26:46.665905
modified: 2026-02-26T11:15:55.197297

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:26:46.665912
modified: 2026-02-26T11:15:55.197969

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:26:46.665914
modified: 2026-02-26T11:15:55.198210
access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_tile_footprints.geojson

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Drew Point, Alaska (subset 05)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.11 pts/m² and 3.02 pts/m², respectively. This dataset covers approximately 20.51 km² of Drew Point in Alaska, with all images collected on 30 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:18:15.472714
modified: 2026-02-26T11:15:44.149103
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962581

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475014
modified: 2026-02-26T11:15:44.158389

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475020
modified: 2026-02-26T11:15:44.158717

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:18:15.475007
modified: 2026-02-26T11:15:44.158120

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475017
modified: 2026-02-26T11:15:44.158565

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:18:15.475011
modified: 2026-02-26T11:15:44.158230

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:18:15.475013
modified: 2026-02-26T11:15:44.158304

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:18:15.475023
modified: 2026-02-26T11:15:44.158852
access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475018
modified: 2026-02-26T11:15:44.158650
access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:18:15.475024
modified: 2026-02-26T11:15:44.158947
access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475016
modified: 2026-02-26T11:15:44.158488
access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:18:15.475021
modified: 2026-02-26T11:15:44.158784
access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 01)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 15.83 pts/m² and 5.73 pts/m², respectively. This dataset covers approximately 6.35 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:34:30.058785
modified: 2026-02-26T11:16:44.549294
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962136

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:34:30.063356
modified: 2026-02-26T11:16:44.572160

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:34:30.063361
modified: 2026-02-26T11:16:44.572373
access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_Ortho_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:34:30.063359
modified: 2026-02-26T11:16:44.572305

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:34:30.063352
modified: 2026-02-26T11:16:44.572040

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:34:30.063362
modified: 2026-02-26T11:16:44.572440

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:34:30.063366
modified: 2026-02-26T11:16:44.572634
access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:34:30.063358
modified: 2026-02-26T11:16:44.572235

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:34:30.063367
modified: 2026-02-26T11:16:44.572699
access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:34:30.063363
modified: 2026-02-26T11:16:44.572506
access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:34:30.063369
modified: 2026-02-26T11:16:44.572764
access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:34:30.063365
modified: 2026-02-26T11:16:44.572570

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 04)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 15.63 px/m³ and 4.98 px/m³ respectively. This dataset covers approximately 21.38 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:43.117625
modified: 2026-02-26T11:17:10.744373
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962003

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:43.121290
modified: 2026-02-26T11:17:10.772206

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:43.121285
modified: 2026-02-26T11:17:10.771934

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:43.121278
modified: 2026-02-26T11:17:10.771611

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:43.121281
modified: 2026-02-26T11:17:10.771781

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:43.121287
modified: 2026-02-26T11:17:10.772072

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:43.121291
modified: 2026-02-26T11:17:10.772271
access URL: https://download.pangaea.de/dataset/962003/files/WC_TrailValleyCreek_20180822_10cm_04_PointClouds_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:43.121294
modified: 2026-02-26T11:17:10.772400
access URL: https://download.pangaea.de/dataset/962003/files/WC_TrailValleyCreek_20180822_10cm_04_processing_info.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:43.121283
modified: 2026-02-26T11:17:10.771862

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:43.121292
modified: 2026-02-26T11:17:10.772336
access URL: https://download.pangaea.de/dataset/962003/files/WC_TrailValleyCreek_20180822_10cm_04_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:43.121286
modified: 2026-02-26T11:17:10.772003
access URL: https://download.pangaea.de/dataset/962003/files/WC_TrailValleyCreek_20180822_10cm_04_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:43.121289
modified: 2026-02-26T11:17:10.772139
access URL: https://download.pangaea.de/dataset/962003/files/WC_TrailValleyCreek_20180822_10cm_04_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Anaktuvuk River Fire Scar (subset 04)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 24.33 pts/m² and 8.47 pts/m², respectively. This dataset covers approximately 7.76 km² of the Anaktuvuk River fire scar in Alaska, with all images collected on 22 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:25:45.124799
modified: 2026-02-26T11:15:53.708661
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Tundra
landing page: https://doi.org/10.1594/PANGAEA.962132

Preview png of RGB
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format: PNG
issued: 2026-02-24T16:25:45.133879
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Preview png of CIR
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issued: 2026-02-24T16:25:45.133882
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GeoTiffs all tiles and virtual mosaic Ortho
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issued: 2026-02-24T16:25:45.133887
modified: 2026-02-26T11:15:53.733424
access URL: https://download.pangaea.de/dataset/962132/files/NA_AnaktuvukRiverFire_20190722_7cm_04_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:25:45.133884
modified: 2026-02-26T11:15:53.733282

GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
issued: 2026-02-24T16:25:45.133889
modified: 2026-02-26T11:15:53.734058
access URL: https://download.pangaea.de/dataset/962132/files/NA_AnaktuvukRiverFire_20190722_7cm_04_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T16:25:45.133885
modified: 2026-02-26T11:15:53.733353

Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T16:25:45.133891
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T16:25:45.133888
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:25:45.133894
modified: 2026-02-26T11:15:53.734281
access URL: https://download.pangaea.de/dataset/962132/files/NA_AnaktuvukRiverFire_20190722_7cm_04_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:25:45.133895
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access URL: https://download.pangaea.de/dataset/962132/files/NA_AnaktuvukRiverFire_20190722_7cm_04_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:25:45.133892
modified: 2026-02-26T11:15:53.734213
access URL: https://download.pangaea.de/dataset/962132/files/NA_AnaktuvukRiverFire_20190722_7cm_04_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 02)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.78 pts/m² and 3.07 pts/m², respectively. This dataset covers approximately 15.15 km² of the central North Slope in Alaska, with all images collected on 29 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:32:33.459834
modified: 2026-02-26T11:16:04.105306
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962541

Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T16:32:33.463204
modified: 2026-02-26T11:16:04.113428

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:32:33.463208
modified: 2026-02-26T11:16:04.113625
access URL: https://download.pangaea.de/dataset/962541/files/NA_NorthSlopeCentral_20190729_10cm_02_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:32:33.463202
modified: 2026-02-26T11:16:04.113358
access URL: https://download.pangaea.de/dataset/962541/files/NA_NorthSlopeCentral_20190729_10cm_02_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:32:33.463209
modified: 2026-02-26T11:16:04.113690
access URL: https://download.pangaea.de/dataset/962541/files/NA_NorthSlopeCentral_20190729_10cm_02_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:32:33.463205
modified: 2026-02-26T11:16:04.113495
access URL: https://download.pangaea.de/dataset/962541/files/NA_NorthSlopeCentral_20190729_10cm_02_DSM_tiles.zip

Preview png of CIR
type: Distribution
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issued: 2026-02-24T16:32:33.463198
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Preview png of DSM
type: Distribution
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issued: 2026-02-24T16:32:33.463199
modified: 2026-02-26T11:16:04.113219

Processing info
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issued: 2026-02-24T16:32:33.463210
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access URL: https://download.pangaea.de/dataset/962541/files/NA_NorthSlopeCentral_20190729_10cm_02_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:32:33.463194
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Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T16:32:33.463201
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T16:32:33.463206
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Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 06)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 39.37 pts/m² and 13.29 pts/m², respectively. This dataset covers approximately 8.53 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:30:51.505403
modified: 2026-02-26T11:16:02.387310
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962644

GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
issued: 2026-02-24T16:30:51.511937
modified: 2026-02-26T11:16:02.401206
access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_DSM_tiles.zip

Preview png of CIR
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issued: 2026-02-24T16:30:51.511928
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Preview png of DSM
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issued: 2026-02-24T16:30:51.511930
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GeoTiffs all tiles and virtual mosaic Ortho
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issued: 2026-02-24T16:30:51.511934
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access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_Ortho_tiles.zip

Processing info
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format: ZIP
issued: 2026-02-24T16:30:51.511944
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access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_processing_info.zip

Preview png of RGB
type: Distribution
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issued: 2026-02-24T16:30:51.511923
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T16:30:51.511939
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T16:30:51.511935
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:30:51.511940
modified: 2026-02-26T11:16:02.401340
access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_PointClouds_tiles.zip

Tile footprints geojson
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format: GeoJSON
issued: 2026-02-24T16:30:51.511942
modified: 2026-02-26T11:16:02.401407
access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T16:30:51.511932
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Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 01)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 34.79 pts/m² and 11.80 pts/m², respectively. This dataset covers approximately 8.17 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:13:34.614163
modified: 2026-02-26T11:16:14.891955
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962271

Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
issued: 2026-02-24T17:13:34.621312
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:13:34.621318
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Preview png of CIR
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issued: 2026-02-24T17:13:34.621308
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Preview png of DSM
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issued: 2026-02-24T17:13:34.621310
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Preview png of RGB
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issued: 2026-02-24T17:13:34.621304
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GeoTiffs all tiles and virtual mosaic DSM
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issued: 2026-02-24T17:13:34.621316
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access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T17:13:34.621315
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PointClouds all tiles NIR and RGB
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issued: 2026-02-24T17:13:34.621320
modified: 2026-02-26T11:16:14.945156
access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_PointClouds_tiles.zip

Processing info
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format: ZIP
issued: 2026-02-24T17:13:34.621323
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access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_processing_info.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:13:34.621321
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access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
issued: 2026-02-24T17:13:34.621313
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access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Lake Basins on the Northern Seward Peninsula, Alaska (West, subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.93 pts/m² and 3.18 pts/m², respectively. This dataset covers approximately 18.30 km² of drained thermokarst lake basins on the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:19:16.886710
modified: 2026-02-26T11:15:45.052108
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Dtlb
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962776

Cloud-optimized GeoTIFF of hillshade
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format: Geotiff
issued: 2026-02-24T16:19:16.889197
modified: 2026-02-26T11:15:45.059961

Preview png of CIR
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issued: 2026-02-24T16:19:16.889188
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:19:16.889185
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:19:16.889199
modified: 2026-02-26T11:15:45.060026
access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_PointClouds_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:19:16.889200
modified: 2026-02-26T11:15:45.060095
access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:19:16.889202
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access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_processing_info.zip

Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T16:19:16.889195
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GeoTiffs all tiles and virtual mosaic Ortho
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issued: 2026-02-24T16:19:16.889193
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access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_Ortho_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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GeoTiffs all tiles and virtual mosaic DSM
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access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_DSM_tiles.zip

Preview png of DSM
type: Distribution
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issued: 2026-02-24T16:19:16.889190
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Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 01)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 12.36 pts/m³ and 4.28 pts/m³ respectively. This dataset covers approximately 17.35 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:39.058153
modified: 2026-02-26T11:17:07.455332
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.961941

Preview png of CIR
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issued: 2026-02-24T13:59:39.069244
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:39.069251
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access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:39.069240
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:39.069252
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PointClouds all tiles NIR and RGB
type: Distribution
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issued: 2026-02-24T13:59:39.069254
modified: 2026-02-26T11:17:07.473204
access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:39.069247
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GeoTiffs all tiles and virtual mosaic Ortho
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issued: 2026-02-24T13:59:39.069248
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access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:39.069256
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access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_processing_info.zip

Cloud-optimized GeoTIFF of DSM
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Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:39.069246
modified: 2026-02-26T11:17:07.472760

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 04)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.11 pts/m² and 2.92 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:25:28.983842
modified: 2026-02-26T11:16:32.678184
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962839

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:25:28.996588
modified: 2026-02-26T11:16:32.690661
access URL: https://download.pangaea.de/dataset/962839/files/WA_SPCKougarok01_20210710_10cm_04_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:25:28.996576
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GeoTiffs all tiles and virtual mosaic Ortho
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access URL: https://download.pangaea.de/dataset/962839/files/WA_SPCKougarok01_20210710_10cm_04_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:25:28.996591
modified: 2026-02-26T11:16:32.690795
access URL: https://download.pangaea.de/dataset/962839/files/WA_SPCKougarok01_20210710_10cm_04_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
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Preview png of CIR
type: Distribution
format: PNG
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Tile footprints geojson
type: Distribution
format: GeoJSON
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modified: 2026-02-26T11:16:32.690861
access URL: https://download.pangaea.de/dataset/962839/files/WA_SPCKougarok01_20210710_10cm_04_tile_footprints.geojson

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:25:28.996584
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Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:25:28.996587
modified: 2026-02-26T11:16:32.690592

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:25:28.996594
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access URL: https://download.pangaea.de/dataset/962839/files/WA_SPCKougarok01_20210710_10cm_04_processing_info.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 36.23 pts/m² and 12.77 pts/m², respectively. This dataset covers approximately 7.69 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:28:08.992991
modified: 2026-02-26T11:15:58.840158
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962638

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:28:08.997315
modified: 2026-02-26T11:15:58.872752

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:28:08.997307
modified: 2026-02-26T11:15:58.872337
access URL: https://download.pangaea.de/dataset/962638/files/WA_BucklandFireScar_20210627_7cm_03_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:28:08.997321
modified: 2026-02-26T11:15:58.872953
access URL: https://download.pangaea.de/dataset/962638/files/WA_BucklandFireScar_20210627_7cm_03_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:28:08.997298
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:28:08.997292
modified: 2026-02-26T11:15:58.871996

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:28:08.997304
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Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:28:08.997310
modified: 2026-02-26T11:15:58.872406

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:28:08.997324
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access URL: https://download.pangaea.de/dataset/962638/files/WA_BucklandFireScar_20210627_7cm_03_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:28:08.997318
modified: 2026-02-26T11:15:58.872882
access URL: https://download.pangaea.de/dataset/962638/files/WA_BucklandFireScar_20210627_7cm_03_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:28:08.997301
modified: 2026-02-26T11:15:58.872194

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:28:08.997312
modified: 2026-02-26T11:15:58.872472
access URL: https://download.pangaea.de/dataset/962638/files/WA_BucklandFireScar_20210627_7cm_03_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Baldwin Peninsula, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.96 pts/m² and 1.45 pts/m², respectively. This dataset covers approximately 33.81 km² of the southern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:44:04.452825
modified: 2026-02-26T11:17:00.115553
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962668

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:04.455728
modified: 2026-02-26T11:17:00.124344
access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
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format: LAS
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access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T17:44:04.455731
modified: 2026-02-26T11:17:00.124430

Preview png of CIR
type: Distribution
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issued: 2026-02-24T17:44:04.455702
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Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
issued: 2026-02-24T17:44:04.455708
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Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:44:04.455746
modified: 2026-02-26T11:17:00.124784
access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_processing_info.zip

Preview png of RGB
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format: PNG
issued: 2026-02-24T17:44:04.455697
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Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:44:04.455705
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GeoTiffs all tiles and virtual mosaic DSM
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access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_DSM_tiles.zip

Tile footprints geojson
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format: GeoJSON
issued: 2026-02-24T17:44:04.455743
modified: 2026-02-26T11:17:00.124714
access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_tile_footprints.geojson

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:04.455737
modified: 2026-02-26T11:17:00.124573

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 05)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 6.56 pts/m² and 2.51 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:26:31.680429
modified: 2026-02-26T11:16:33.833024
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962840

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:26:31.693992
modified: 2026-02-26T11:16:33.848597
access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_tile_footprints.geojson

Preview png of RGB
type: Distribution
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issued: 2026-02-24T17:26:31.693976
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Preview png of CIR
type: Distribution
format: PNG
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GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
issued: 2026-02-24T17:26:31.693985
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access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_Ortho_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T17:26:31.693983
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Preview png of DSM
type: Distribution
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issued: 2026-02-24T17:26:31.693982
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Cloud-optimized GeoTIFF of hillshade
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T17:26:31.693986
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Processing info
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format: ZIP
issued: 2026-02-24T17:26:31.693993
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access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_processing_info.zip

PointClouds all tiles NIR and RGB
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format: LAS
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access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
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access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_DSM_tiles.zip

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Ulrich'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:28.210400
modified: 2026-03-23T13:53:19.847196
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.983064

983064_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:02:17.797931
modified: 2026-03-23T13:52:52.416174
access URL: https://apgc.awi.de/dataset/78d53f30-4067-45c8-b8ae-ecf0d6000b07/resource/8aa16ca6-d8f7-47ee-ad71-c4f2b24f9bf9/download/983064_data.csv
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Preview
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thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:28.212058
modified: 2026-03-18T15:02:17.781185
access URL: https://doi.pangaea.de/10.1594/PANGAEA.983064

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.22 pts/m² and 1.15 pts/m², respectively. This dataset covers approximately 31.21 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:46:27.922383
modified: 2026-02-26T11:17:05.085723
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962736

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:46:27.926849
modified: 2026-02-26T11:17:05.098209
access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_DSM_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
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access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:46:27.926841
modified: 2026-02-26T11:17:05.098050
access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
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modified: 2026-02-26T11:17:05.098500
access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
issued: 2026-02-24T17:46:27.926837
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Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:46:27.926832
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Preview png of RGB
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format: PNG
issued: 2026-02-24T17:46:27.926817
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Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T17:46:27.926845
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:46:27.926853
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Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:46:27.926827
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Processing info
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format: ZIP
issued: 2026-02-24T17:46:27.926866
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access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_processing_info.zip

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Grosse'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:24.710561
modified: 2026-03-23T13:45:46.988228
spatial: Location
  geometry: POINT (128.5575 71.5878)
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.982978

Preview
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issued: 2026-03-23T13:45:15.051799
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982978_data.csv
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format: csv-geo-au
issued: 2026-03-18T15:05:55.365185
modified: 2026-03-23T13:45:15.032565
access URL: https://apgc.awi.de/dataset/7987f310-1a06-41b8-b285-c1ea5e98500a/resource/c0325cb7-8d0e-4188-960b-ca225d7f96cd/download/982978_data.csv
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thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:24.712039
modified: 2026-03-18T15:05:55.353653
access URL: https://doi.pangaea.de/10.1594/PANGAEA.982978

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Drew Point, Alaska (subset 03)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 7.85 pts/m² and 2.98 pts/m², respectively. This dataset covers approximately 22.21 km² of Drew Point in Alaska, with all images collected on 30 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:17:33.684403
modified: 2026-02-26T11:15:41.933877
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962579

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:17:33.686822
modified: 2026-02-26T11:15:41.945387

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:33.686829
modified: 2026-02-26T11:15:41.945739

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:33.686826
modified: 2026-02-26T11:15:41.945599

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:33.686827
modified: 2026-02-26T11:15:41.945665
access URL: https://download.pangaea.de/dataset/962579/files/NA_DrewPoint_20190730_10cm_03_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:33.686823
modified: 2026-02-26T11:15:41.945460

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:17:33.686830
modified: 2026-02-26T11:15:41.945824
access URL: https://download.pangaea.de/dataset/962579/files/NA_DrewPoint_20190730_10cm_03_PointClouds_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:17:33.686833
modified: 2026-02-26T11:15:41.945974
access URL: https://download.pangaea.de/dataset/962579/files/NA_DrewPoint_20190730_10cm_03_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:17:33.686825
modified: 2026-02-26T11:15:41.945529
access URL: https://download.pangaea.de/dataset/962579/files/NA_DrewPoint_20190730_10cm_03_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:17:33.686831
modified: 2026-02-26T11:15:41.945891
access URL: https://download.pangaea.de/dataset/962579/files/NA_DrewPoint_20190730_10cm_03_tile_footprints.geojson

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:17:33.686817
modified: 2026-02-26T11:15:41.945190

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:17:33.686820
modified: 2026-02-26T11:15:41.945309

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Minke'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:26.182377
modified: 2026-03-23T13:46:55.516847
spatial: Location
  geometry: POINT (126.4585 72.3661)
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.982993

Preview
type: Distribution
format: PNG
issued: 2026-03-23T13:46:26.196087
modified: 2026-03-23T13:46:26.165556
byte size: 931752
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982993_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:04:35.870478
modified: 2026-03-23T13:46:26.165331
access URL: https://apgc.awi.de/dataset/79f2f2ec-ecf5-45f7-bcb4-06b69e084f7f/resource/ddff14f3-a6fd-49e9-8fac-37ccdc7fceaf/download/982993_data.csv
byte size: 102318
media type: text/csv

thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:26.184792
modified: 2026-03-18T15:04:35.859212
access URL: https://doi.pangaea.de/10.1594/PANGAEA.982993

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Baldwin Peninsula, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 4.74 pts/m² and 1.70 pts/m², respectively. This dataset covers approximately 26.33 km² of the southern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:43:23.591693
modified: 2026-02-26T11:16:59.032958
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962663

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:43:23.599212
modified: 2026-02-26T11:16:59.041176

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:43:23.599207
modified: 2026-02-26T11:16:59.040991

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599216
modified: 2026-02-26T11:16:59.041379

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:43:23.599221
modified: 2026-02-26T11:16:59.041574
access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599215
modified: 2026-02-26T11:16:59.041312
access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:43:23.599223
modified: 2026-02-26T11:16:59.041706
access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_processing_info.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:43:23.599222
modified: 2026-02-26T11:16:59.041639
access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599218
modified: 2026-02-26T11:16:59.041445
access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599219
modified: 2026-02-26T11:16:59.041510

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599214
modified: 2026-02-26T11:16:59.041245

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:43:23.599211
modified: 2026-02-26T11:16:59.041102

DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) and active layer detachment slides (ALD) in hotspots of the circum-arctic permafrost region - v1
type: Dataset
description: This dataset, called DARTS, comprises footprints of retrogressive thaw slump (RTS) and active layer detachments slides (ALD) identified and quantified using an automated deep learning approach in RTS hotspots across the Arctic and Subarctic permafrost regions. We utilized multispectral PlanetScope imagery with a spatial resolution of 3 meters (m), complemented by ArcticDEM (Digital Elevation Models) and derived datasets, including slope, relative elevation, and Landsat-derived change trends. The dataset covers an area of 1.6 million square-kilometers (km²), with at least one coverage between 2021 and 2023, and provides annual coverage for approximately 900,000 km². In several highly active key sites, such as Banks Island, Peel Plateau, and Novaya Zemlya, we extended the data frequency and temporal coverage to 2018-2023. We mapped a total of more than 43,000 individual RTS and ALD, many of them multiple times. We offer two levels of datasets; Level 1: RTS footprints per image with timestamps; and Level 2: annually aggregated RTS footprints. Essential metadata includes image footprints, dataset coverage, timestamps, and model-specific information. To enhance reproducibility and further use, the training labels, processing code, and model checkpoints are publicly available. This version, v1, is the first openly accessible release. The dataset will be maintained and continuously updated in both spatial and temporal extent. It can be used for mapping and quantifying RTS, analyzing spatio-temporal patterns of RTS dynamics, or serving as input for landscape dynamics models. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Ingmar Nitze, Konrad Heidler, Nina Nesterova, Jonas Küpper, Emma Schütt, Tobias Hölzer, Sophia Barth, Mark J Lara, Anna Liljedahl, & Guido Grosse. (2024). DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) and active layer detachment slides (ALD) in hotspots of the circum-arct…
issued: 2024-10-24T11:01:10.509425
modified: 2026-03-02T13:47:03.635896
spatial: Location
version info: v1
contact point: Organization
  fn: Nitze, Ingmar
keyword: ALD
keyword: Active Layer Detachment Slides
keyword: Arctic
keyword: Artificial Intelligence
keyword: Cryosphere
keyword: Deep learning
keyword: Erosion
keyword: Landslides
keyword: Permafrost
keyword: RTS
keyword: Remote Sensing
keyword: Retrogressive Thaw Slumps
keyword: Thermokarst
landing page: https://doi.org/10.18739/A2RR1PP44

DARTS_NitzeEtAl_v1_coverage_2021_2023_intersect.parquet
type: Distribution
description: Maximum coverage of the dataset with at least annual coverage between 2021-2023
format: PARQUET
issued: 2024-10-24T11:01:10.574860
modified: 2024-10-24T11:03:06.361444
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5f776b8a-d990-432b-b327-9fe435c2217f

DARTS_NitzeEtAl_v1_features_2018_2023_level2.parquet
type: Distribution
description: Footprints of RTS and ALD features, maximum extent aggregated per calendar year
format: PARQUET
issued: 2024-10-24T11:01:10.574831
modified: 2024-10-24T11:03:06.360941
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A3a44d9bc-daa8-417e-a15e-5c983dda591a

DARTS_NitzeEtAl_v1_coverage_2018_2023_level1.parquet
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description: Coverage of individual image scenes, used for the processing of DARTS Level 1 datasets
format: PARQUET
issued: 2024-10-24T11:01:10.574871
modified: 2024-10-24T11:03:06.361622
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A1f1c0df7-3187-4db9-80be-4f3679eb2e39

DARTS_NitzeEtAl_v1_coverage_2018_2023_level1.gpkg
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description: Coverage of individual image scenes, used for the processing of DARTS Level 1 datasets
format: GPKG
issued: 2024-10-24T11:01:10.574856
modified: 2024-10-24T11:03:06.361361
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A6c611bd6-202a-45e2-afbc-8ed2dbd0ff9f

DARTS_NitzeEtAl_v1_features_2018_2023_level1.parquet
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description: Footprints of RTS and ALD features, processed on individual image scenes
format: PARQUET
issued: 2024-10-24T11:01:10.574819
modified: 2024-10-24T11:03:06.360761
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A074980cd-cb77-4499-8247-e26d0e1bf255

Metadata: DARTS_Multi_year_database_of_AI_detected_retrogre.xml
type: Distribution
format: XML
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modified: 2024-10-24T11:03:06.360518
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/doi%3A10.18739%2FA2RR1PP44

DARTS_NitzeEtAl_v1_coverage_2018_2023_union.parquet
type: Distribution
description: Maximum coverage of the dataset with at least one coverage between 2018-2023
format: PARQUET
issued: 2024-10-24T11:01:10.574851
modified: 2024-10-24T11:03:06.361278
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A4b29d58e-6023-4115-ba36-f7d4a30d7d3c

DARTS_NitzeEtAl_v1_features_2018_2023_layerstyle.qml
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format: QML
issued: 2024-10-24T11:01:10.574876
modified: 2024-10-24T11:03:06.361746
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5333cf4f-37cc-44fa-ad10-838ad580ec19

DARTS_NitzeEtAl_v1_coverage_2021_2023_intersect.gpkg
type: Distribution
description: Maximum coverage of the dataset with at least annual coverage between 2021-2023
format: GPKG
issued: 2024-10-24T11:01:10.574866
modified: 2024-10-24T11:03:06.361527
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A9b70d407-b8d7-42ef-aee7-38c1a48b55d9

DARTS_NitzeEtAl_v1_coverage_2018_2023_level2.gpkg
type: Distribution
description: Annual coverage of input images for 2018-2023
format: GPKG
issued: 2024-10-24T11:01:10.574840
modified: 2024-10-24T11:03:06.361111
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5cf45b08-f8bd-4a74-96e3-18285857668a

DARTS_NitzeEtAl_v1_features_2018_2023_layerstyle.sld
type: Distribution
format: SLD
issued: 2024-10-24T11:01:10.574881
modified: 2024-10-24T11:03:06.361872
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Aac84c609-54f9-45b3-a920-5117288e9758

DARTS_NitzeEtAl_v1_features_2018_2023_level1.gpkg
type: Distribution
description: Footprints of RTS and ALD features, processed on individual image scenes
format: GPKG
issued: 2024-10-24T11:01:10.574813
modified: 2024-10-24T11:03:06.360654
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ad24033c0-0d5a-4b66-a4ff-a2a5bd05e277

Preview
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format: PNG
issued: 2024-10-24T11:03:06.427524
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byte size: 543164
media type: image/png

DARTS_NitzeEtAl_v1_coverage_2018_2023_level2.parquet
type: Distribution
description: Annual coverage of input images for 2018-2023
format: PARQUET
issued: 2024-10-24T11:01:10.574845
modified: 2024-10-24T11:03:06.361194
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A0d4c3b37-be14-47d5-a6da-7e662e72bb9d

DARTS_NitzeEtAl_v1_features_2018_2023_level2.gpkg
type: Distribution
description: Footprints of RTS and ALD features, maximum extent aggregated per calendar year
format: GPKG
issued: 2024-10-24T11:01:10.574825
modified: 2024-10-24T11:03:06.360853
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A91b12042-18fb-4ded-8854-124ff3be6a11

DARTS_NitzeEtAl_v1_coverage_2018_2023_union.gpkg
type: Distribution
description: Maximum coverage of the dataset with at least one coverage between 2018-2023
format: GPKG
issued: 2024-10-24T11:01:10.574835
modified: 2024-10-24T11:03:06.361026
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5581f58d-6566-419d-b3b8-b4262868fe5a

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Kitluk Coast, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.80 pts/m² and 3.26 pts/m², respectively. This dataset covers approximately 25.83 km² of the Kitluk Coast the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:29:18.479668
modified: 2026-02-26T11:16:37.523906
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Dtlb
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962788

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:29:18.484434
modified: 2026-02-26T11:16:37.533182
access URL: https://download.pangaea.de/dataset/962788/files/WA_SPNorthKitlukCoast_20210709_10cm_03_DSM_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:29:18.484431
modified: 2026-02-26T11:16:37.533046
access URL: https://download.pangaea.de/dataset/962788/files/WA_SPNorthKitlukCoast_20210709_10cm_03_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:29:18.484437
modified: 2026-02-26T11:16:37.533320
access URL: https://download.pangaea.de/dataset/962788/files/WA_SPNorthKitlukCoast_20210709_10cm_03_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:29:18.484435
modified: 2026-02-26T11:16:37.533248

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:29:18.484428
modified: 2026-02-26T11:16:37.532886

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:29:18.484438
modified: 2026-02-26T11:16:37.533405
access URL: https://download.pangaea.de/dataset/962788/files/WA_SPNorthKitlukCoast_20210709_10cm_03_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:29:18.484454
modified: 2026-02-26T11:16:37.533484
access URL: https://download.pangaea.de/dataset/962788/files/WA_SPNorthKitlukCoast_20210709_10cm_03_processing_info.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:29:18.484427
modified: 2026-02-26T11:16:37.532811

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:29:18.484430
modified: 2026-02-26T11:16:37.532956

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:29:18.484432
modified: 2026-02-26T11:16:37.533117

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:29:18.484423
modified: 2026-02-26T11:16:37.532704

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Evgrafova'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:23.394747
modified: 2026-03-23T13:48:49.267958
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.982976

Preview
type: Distribution
format: PNG
issued: 2026-03-23T13:48:27.116144
modified: 2026-03-23T13:48:27.099073
byte size: 915386
media type: image/png

982976_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:06:59.195039
modified: 2026-03-23T13:48:27.094956
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thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:23.397823
modified: 2026-03-18T15:06:59.178742
access URL: https://doi.pangaea.de/10.1594/PANGAEA.982976

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 05)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.33 pts/m² and 3.01 pts/m², respectively. This dataset covers approximately 16.71 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:12:53.206773
modified: 2026-02-26T11:16:13.512566
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Lava Field
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962800

Tile footprints geojson
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format: GeoJSON
issued: 2026-02-24T17:12:53.211423
modified: 2026-02-26T11:16:13.535026
access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_tile_footprints.geojson

Cloud-optimized GeoTIFF of DSM
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Preview png of DSM
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issued: 2026-02-24T17:12:53.211412
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GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
issued: 2026-02-24T17:12:53.211418
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access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T17:12:53.211413
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Preview png of CIR
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issued: 2026-02-24T17:12:53.211410
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:12:53.211421
modified: 2026-02-26T11:16:13.534963
access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_PointClouds_tiles.zip

Preview png of RGB
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format: PNG
issued: 2026-02-24T17:12:53.211406
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:12:53.211420
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Processing info
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format: ZIP
issued: 2026-02-24T17:12:53.211424
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access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
issued: 2026-02-24T17:12:53.211415
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access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.56 pts/m² and 1.27 pts/m², respectively. This dataset covers approximately 27.43 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:44:45.874254
modified: 2026-02-26T11:17:02.416367
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962733

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T17:44:45.881221
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Processing info
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format: ZIP
issued: 2026-02-24T17:44:45.881230
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access URL: https://download.pangaea.de/dataset/962733/files/WA_NoatakValleyS_20210702_20cm_01_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
issued: 2026-02-24T17:44:45.881222
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access URL: https://download.pangaea.de/dataset/962733/files/WA_NoatakValleyS_20210702_20cm_01_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.881225
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access URL: https://download.pangaea.de/dataset/962733/files/WA_NoatakValleyS_20210702_20cm_01_DSM_tiles.zip

Preview png of DSM
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issued: 2026-02-24T17:44:45.881219
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:44:45.881226
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Preview png of CIR
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issued: 2026-02-24T17:44:45.881218
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Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T17:44:45.881223
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:44:45.881227
modified: 2026-02-26T11:17:02.424573
access URL: https://download.pangaea.de/dataset/962733/files/WA_NoatakValleyS_20210702_20cm_01_PointClouds_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:44:45.881229
modified: 2026-02-26T11:17:02.424637
access URL: https://download.pangaea.de/dataset/962733/files/WA_NoatakValleyS_20210702_20cm_01_tile_footprints.geojson

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.881213
modified: 2026-02-26T11:17:02.423998

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 08)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 19.40 pts/m² and 7.25 pts/m², respectively. This dataset covers approximately 10.06 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:39:18.877548
modified: 2026-02-26T11:16:54.152759
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962225

Cloud-optimized GeoTIFF of hillshade
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format: Geotiff
issued: 2026-02-24T17:39:18.880736
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issued: 2026-02-24T17:39:18.880730
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Preview png of DSM
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issued: 2026-02-24T17:39:18.880728
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Preview png of CIR
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issued: 2026-02-24T17:39:18.880726
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:39:18.880738
modified: 2026-02-26T11:16:54.187881
access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_tile_footprints.geojson

Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T17:39:18.880733
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:39:18.880734
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access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:39:18.880740
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access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
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access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:39:18.880723
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:39:18.880737
modified: 2026-02-26T11:16:54.187733
access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kobuk Delta, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 2.28 pts/m² and 1.28 pts/m², respectively. This dataset covers approximately 43.74 km² of the Kobuk Delta in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:22:01.553925
modified: 2026-02-26T11:16:27.782472
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962792

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:22:01.556299
modified: 2026-02-26T11:16:27.793415
access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:22:01.556285
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556292
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556296
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access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:22:01.556291
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Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:22:01.556301
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access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
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format: Geotiff
issued: 2026-02-24T17:22:01.556297
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Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556295
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Tile footprints geojson
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format: GeoJSON
issued: 2026-02-24T17:22:01.556300
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access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:22:01.556289
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GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556293
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access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 04)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 17.09 pts/m² and 6.12 pts/m², respectively. This dataset covers approximately 9.29 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:35:53.693980
modified: 2026-02-26T11:16:47.945762
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962181

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:35:53.703082
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access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
issued: 2026-02-24T17:35:53.703065
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access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_DSM_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
issued: 2026-02-24T17:35:53.703057
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access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_Ortho_tiles.zip

Preview png of DSM
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issued: 2026-02-24T17:35:53.703048
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PointClouds all tiles NIR and RGB
type: Distribution
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issued: 2026-02-24T17:35:53.703074
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access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_PointClouds_tiles.zip

Preview png of CIR
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T17:35:53.703061
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Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_tile_footprints.geojson

Preview png of RGB
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Cloud-optimized GeoTIFF of Ortho
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T17:35:53.703070
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Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 04)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 39.26 pts/m² and 13.01 pts/m², respectively. This dataset covers approximately 7.00 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:29:09.772622
modified: 2026-02-26T11:15:59.653728
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962640

Preview png of DSM
type: Distribution
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issued: 2026-02-24T16:29:09.774939
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GeoTiffs all tiles and virtual mosaic Ortho
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access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
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Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T16:29:09.774941
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Tile footprints geojson
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issued: 2026-02-24T16:29:09.774949
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access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:29:09.774947
modified: 2026-02-26T11:15:59.661402
access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_PointClouds_tiles.zip

Preview png of RGB
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format: PNG
issued: 2026-02-24T16:29:09.774934
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GeoTiffs all tiles and virtual mosaic DSM
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issued: 2026-02-24T16:29:09.774945
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access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
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Processing info
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issued: 2026-02-24T16:29:09.774950
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access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T16:29:09.774946
modified: 2026-02-26T11:15:59.661336

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.16 pts/m² and 3.14 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:23:03.106689
modified: 2026-02-26T11:16:28.840151
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962805

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:23:03.112525
modified: 2026-02-26T11:16:28.847350

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:23:03.112540
modified: 2026-02-26T11:16:28.848208
access URL: https://download.pangaea.de/dataset/962805/files/WA_SPCKougarok01_20210710_10cm_01_tile_footprints.geojson

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:23:03.112538
modified: 2026-02-26T11:16:28.848062

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:23:03.112532
modified: 2026-02-26T11:16:28.847768

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:23:03.112531
modified: 2026-02-26T11:16:28.847691

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:23:03.112542
modified: 2026-02-26T11:16:28.848280
access URL: https://download.pangaea.de/dataset/962805/files/WA_SPCKougarok01_20210710_10cm_01_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:23:03.112534
modified: 2026-02-26T11:16:28.847843
access URL: https://download.pangaea.de/dataset/962805/files/WA_SPCKougarok01_20210710_10cm_01_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:23:03.112536
modified: 2026-02-26T11:16:28.847991
access URL: https://download.pangaea.de/dataset/962805/files/WA_SPCKougarok01_20210710_10cm_01_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:23:03.112529
modified: 2026-02-26T11:16:28.847595

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:23:03.112535
modified: 2026-02-26T11:16:28.847918

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:23:03.112539
modified: 2026-02-26T11:16:28.848134
access URL: https://download.pangaea.de/dataset/962805/files/WA_SPCKougarok01_20210710_10cm_01_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Anaktuvuk River Fire Scar (subset 03)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 24.91 pts/m² and 8.58 pts/m², respectively. This dataset covers approximately 7.64 km² of the Anaktuvuk River fire scar in Alaska, with all images collected on 22 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:25:03.805638
modified: 2026-02-26T11:15:52.665972
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Tundra
landing page: https://doi.org/10.1594/PANGAEA.962128

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:25:03.811523
modified: 2026-02-26T11:15:52.674987
access URL: https://download.pangaea.de/dataset/962128/files/NA_AnaktuvukRiverFire_20190722_7cm_03_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:25:03.811502
modified: 2026-02-26T11:15:52.674645
access URL: https://download.pangaea.de/dataset/962128/files/NA_AnaktuvukRiverFire_20190722_7cm_03_Ortho_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
issued: 2026-02-24T16:25:03.811498
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Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T16:25:03.811507
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:25:03.811479
modified: 2026-02-26T11:15:52.674298

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:25:03.811528
modified: 2026-02-26T11:15:52.675053
access URL: https://download.pangaea.de/dataset/962128/files/NA_AnaktuvukRiverFire_20190722_7cm_03_processing_info.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:25:03.811494
modified: 2026-02-26T11:15:52.674499

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:25:03.811519
modified: 2026-02-26T11:15:52.674920
access URL: https://download.pangaea.de/dataset/962128/files/NA_AnaktuvukRiverFire_20190722_7cm_03_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:25:03.811515
modified: 2026-02-26T11:15:52.674853

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:25:03.811489
modified: 2026-02-26T11:15:52.674423

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:25:03.811511
modified: 2026-02-26T11:15:52.674785
access URL: https://download.pangaea.de/dataset/962128/files/NA_AnaktuvukRiverFire_20190722_7cm_03_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 09)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 36.17 pts/m² and 12.62 pts/m², respectively. This dataset covers approximately 6.66 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:20:18.754763
modified: 2026-02-26T11:16:25.519638
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962321

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:20:18.757911
modified: 2026-02-26T11:16:25.538610
access URL: https://download.pangaea.de/dataset/962321/files/NA_KetikFire_20190727_7cm_09_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T17:20:18.757915
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:20:18.757913
modified: 2026-02-26T11:16:25.538744
access URL: https://download.pangaea.de/dataset/962321/files/NA_KetikFire_20190727_7cm_09_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:20:18.757912
modified: 2026-02-26T11:16:25.538679

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:20:18.757906
modified: 2026-02-26T11:16:25.538384

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:20:18.757919
modified: 2026-02-26T11:16:25.539013
access URL: https://download.pangaea.de/dataset/962321/files/NA_KetikFire_20190727_7cm_09_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:20:18.757903
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:20:18.757909
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:20:18.757917
modified: 2026-02-26T11:16:25.538947
access URL: https://download.pangaea.de/dataset/962321/files/NA_KetikFire_20190727_7cm_09_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:20:18.757916
modified: 2026-02-26T11:16:25.538881
access URL: https://download.pangaea.de/dataset/962321/files/NA_KetikFire_20190727_7cm_09_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:20:18.757908
modified: 2026-02-26T11:16:25.538472

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.48 pts/m² and 1.26 pts/m², respectively. This dataset covers approximately 31.00 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:45:26.915254
modified: 2026-02-26T11:17:04.050067
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962735

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:45:26.934624
modified: 2026-02-26T11:17:04.059337
access URL: https://download.pangaea.de/dataset/962735/files/WA_NoatakValleyS_20210702_20cm_02_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:45:26.934619
modified: 2026-02-26T11:17:04.059040

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:45:26.934630
modified: 2026-02-26T11:17:04.059628
access URL: https://download.pangaea.de/dataset/962735/files/WA_NoatakValleyS_20210702_20cm_02_processing_info.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:45:26.934623
modified: 2026-02-26T11:17:04.059265

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:45:26.934620
modified: 2026-02-26T11:17:04.059116

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:45:26.934627
modified: 2026-02-26T11:17:04.059478
access URL: https://download.pangaea.de/dataset/962735/files/WA_NoatakValleyS_20210702_20cm_02_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:45:26.934613
modified: 2026-02-26T11:17:04.058842

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:45:26.934628
modified: 2026-02-26T11:17:04.059549
access URL: https://download.pangaea.de/dataset/962735/files/WA_NoatakValleyS_20210702_20cm_02_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:45:26.934617
modified: 2026-02-26T11:17:04.058960

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:45:26.934621
modified: 2026-02-26T11:17:04.059188
access URL: https://download.pangaea.de/dataset/962735/files/WA_NoatakValleyS_20210702_20cm_02_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:45:26.934625
modified: 2026-02-26T11:17:04.059408

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 06)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 19.09 pts/m² and 6.52 pts/m², respectively. This dataset covers approximately 8.91 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:37:56.407272
modified: 2026-02-26T11:16:50.933793
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962196

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:37:56.411377
modified: 2026-02-26T11:16:50.943378

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:37:56.411376
modified: 2026-02-26T11:16:50.943274

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:37:56.411379
modified: 2026-02-26T11:16:50.943476

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:37:56.411383
modified: 2026-02-26T11:16:50.943757
access URL: https://download.pangaea.de/dataset/962196/files/NA_TeshekpukLakeNorth_20190723_7cm_06_DSM_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:37:56.411385
modified: 2026-02-26T11:16:50.943940
access URL: https://download.pangaea.de/dataset/962196/files/NA_TeshekpukLakeNorth_20190723_7cm_06_PointClouds_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:37:56.411387
modified: 2026-02-26T11:16:50.944031
access URL: https://download.pangaea.de/dataset/962196/files/NA_TeshekpukLakeNorth_20190723_7cm_06_tile_footprints.geojson

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:37:56.411372
modified: 2026-02-26T11:16:50.943131

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:37:56.411388
modified: 2026-02-26T11:16:50.944121
access URL: https://download.pangaea.de/dataset/962196/files/NA_TeshekpukLakeNorth_20190723_7cm_06_processing_info.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:37:56.411381
modified: 2026-02-26T11:16:50.943666

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:37:56.411384
modified: 2026-02-26T11:16:50.943847

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:37:56.411380
modified: 2026-02-26T11:16:50.943572
access URL: https://download.pangaea.de/dataset/962196/files/NA_TeshekpukLakeNorth_20190723_7cm_06_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 02)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 18.55 pts/m² and 6.54 pts/m², respectively. This dataset covers approximately 11.20 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:35:11.331171
modified: 2026-02-26T11:16:45.974967
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962172

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:35:11.333792
modified: 2026-02-26T11:16:45.983952
access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:35:11.333791
modified: 2026-02-26T11:16:45.983864
access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:11.333786
modified: 2026-02-26T11:16:45.983580
access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:35:11.333783
modified: 2026-02-26T11:16:45.983435

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:11.333787
modified: 2026-02-26T11:16:45.983649

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:35:11.333778
modified: 2026-02-26T11:16:45.983249

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:11.333784
modified: 2026-02-26T11:16:45.983506

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:35:11.333794
modified: 2026-02-26T11:16:45.984019
access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:11.333788
modified: 2026-02-26T11:16:45.983716
access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:35:11.333781
modified: 2026-02-26T11:16:45.983362

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:11.333790
modified: 2026-02-26T11:16:45.983783

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Kitluk Coast, Alaska (subset 04)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.45 pts/m² and 3.14 pts/m², respectively. This dataset covers approximately 25.29 km² of the Kitluk Coast the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:30:20.872379
modified: 2026-02-26T11:16:38.415799
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Dtlb
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962789

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:30:20.875783
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Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:30:20.875778
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:30:20.875784
modified: 2026-02-26T11:16:38.424035
access URL: https://download.pangaea.de/dataset/962789/files/WA_SPNorthKitlukCoast_20210709_10cm_04_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:30:20.875777
modified: 2026-02-26T11:16:38.423666

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:30:20.875790
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access URL: https://download.pangaea.de/dataset/962789/files/WA_SPNorthKitlukCoast_20210709_10cm_04_processing_info.zip

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type: Distribution
format: Geotiff
issued: 2026-02-24T17:30:20.875780
modified: 2026-02-26T11:16:38.423820

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:30:20.875788
modified: 2026-02-26T11:16:38.424225
access URL: https://download.pangaea.de/dataset/962789/files/WA_SPNorthKitlukCoast_20210709_10cm_04_tile_footprints.geojson

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:30:20.875773
modified: 2026-02-26T11:16:38.423564

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:30:20.875781
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access URL: https://download.pangaea.de/dataset/962789/files/WA_SPNorthKitlukCoast_20210709_10cm_04_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:30:20.875785
modified: 2026-02-26T11:16:38.424099

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:30:20.875787
modified: 2026-02-26T11:16:38.424163
access URL: https://download.pangaea.de/dataset/962789/files/WA_SPNorthKitlukCoast_20210709_10cm_04_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Cape Blossom, Alaska (7 cm)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 29.12 pts/m² and 10.33 pts/m², respectively. This dataset covers approximately 9.62 km² of Cape Blossom in Alaska, with all images collected on 25 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T10:59:53.357832
modified: 2026-02-26T11:17:20.994632
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: MACS
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-from-Motion
landing page: https://doi.org/10.1594/PANGAEA.962616

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T10:59:53.396517
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issued: 2026-02-24T10:59:53.396520
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T10:59:53.396522
modified: 2026-02-26T11:17:21.015001
access URL: https://download.pangaea.de/dataset/962616/files/WA_CapeBlossom_20210625_7cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T10:59:53.396523
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T10:59:53.396526
modified: 2026-02-26T11:17:21.015325
access URL: https://download.pangaea.de/dataset/962616/files/WA_CapeBlossom_20210625_7cm_01_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T10:59:53.396515
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Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T10:59:53.396512
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Processing info
type: Distribution
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issued: 2026-02-24T10:59:53.396528
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access URL: https://download.pangaea.de/dataset/962616/files/WA_CapeBlossom_20210625_7cm_01_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
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issued: 2026-02-24T10:59:53.396524
modified: 2026-02-26T11:17:21.015218
access URL: https://download.pangaea.de/dataset/962616/files/WA_CapeBlossom_20210625_7cm_01_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T10:59:53.396505
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GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T10:59:53.396519
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access URL: https://download.pangaea.de/dataset/962616/files/WA_CapeBlossom_20210625_7cm_01_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 11)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 13.20 pts/m² and 5.39 pts/m², respectively. This dataset covers approximately 10.19 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:42:22.478659
modified: 2026-02-26T11:16:57.828384
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962232

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:42:22.482126
modified: 2026-02-26T11:16:57.839163

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:42:22.482134
modified: 2026-02-26T11:16:57.839603
access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:42:22.482121
modified: 2026-02-26T11:16:57.838967

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:42:22.482132
modified: 2026-02-26T11:16:57.839473
access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
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issued: 2026-02-24T17:42:22.482130
modified: 2026-02-26T11:16:57.839405

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:42:22.482133
modified: 2026-02-26T11:16:57.839538

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:42:22.482136
modified: 2026-02-26T11:16:57.839668
access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:42:22.482124
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Processing info
type: Distribution
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issued: 2026-02-24T17:42:22.482137
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access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_processing_info.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
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issued: 2026-02-24T17:42:22.482127
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type: Distribution
format: Geotiff
issued: 2026-02-24T17:42:22.482129
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access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Meade Fire Scar, Alaska (subset 01)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.82 pts/m² and 3.44 pts/m², respectively. This dataset covers approximately 31.63 km² of the Meade fire scar in Alaska, with all images collected on 29 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:21:18.901693
modified: 2026-02-26T11:15:47.007797
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962534

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:21:18.906650
modified: 2026-02-26T11:15:47.015190
access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:21:18.906637
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type: Distribution
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issued: 2026-02-24T16:21:18.906640
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type: Distribution
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issued: 2026-02-24T16:21:18.906642
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type: Distribution
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issued: 2026-02-24T16:21:18.906646
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issued: 2026-02-24T16:21:18.906645
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access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:21:18.906648
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access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_DSM_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:21:18.906652
modified: 2026-02-26T11:15:47.015255
access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:21:18.906653
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access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:21:18.906649
modified: 2026-02-26T11:15:47.015124

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Boike'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:22.722647
modified: 2026-03-23T13:47:59.280970
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.974025

974025_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:07:34.811359
modified: 2026-03-23T13:47:34.745267
access URL: https://apgc.awi.de/dataset/97d45987-a0f8-49b5-8468-76f253dc1930/resource/3e104fb7-090b-47aa-8a32-643e23a8da5e/download/974025_data.csv
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thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:22.725808
modified: 2026-03-18T15:07:34.790818
access URL: https://doi.pangaea.de/10.1594/PANGAEA.974025

Preview
type: Distribution
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issued: 2026-03-23T13:47:34.758277
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Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 32.61 pts/m² and 11.30 pts/m², respectively. This dataset covers approximately 11.58 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:27:27.609605
modified: 2026-02-26T11:15:56.906729
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962635

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:27:27.613117
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:27.613123
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access URL: https://download.pangaea.de/dataset/962635/files/WA_BucklandFireScar_20210627_7cm_01_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:27:27.613116
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:27:27.613130
modified: 2026-02-26T11:15:56.926119
access URL: https://download.pangaea.de/dataset/962635/files/WA_BucklandFireScar_20210627_7cm_01_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:27.613120
modified: 2026-02-26T11:15:56.925616
access URL: https://download.pangaea.de/dataset/962635/files/WA_BucklandFireScar_20210627_7cm_01_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:27:27.613112
modified: 2026-02-26T11:15:56.919564

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:27:27.613127
modified: 2026-02-26T11:15:56.926051
access URL: https://download.pangaea.de/dataset/962635/files/WA_BucklandFireScar_20210627_7cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:27.613125
modified: 2026-02-26T11:15:56.925981

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:27:27.613132
modified: 2026-02-26T11:15:56.926444
access URL: https://download.pangaea.de/dataset/962635/files/WA_BucklandFireScar_20210627_7cm_01_processing_info.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
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type: Distribution
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issued: 2026-02-24T16:27:27.613119
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Database of Ice-Rich Yedoma Permafrost (IRYP)
type: Dataset
description: We synthesized data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. For compiling this map, we used maps of the previous Yedoma coverage estimates, included the digitized areas from Grosse et al. (2013) as well as extracted areas of potential Yedoma distribution from additional surface geological and Quaternary geological maps: 1.: 1:500,000: Q-51-V,G; P-51-A,B; P-52-A,B; Q-52-V,G; P-52-V,G; Q-51-A,B; R-51-V,G; R-52-V,G; R-52-A,B 2.: 1:1,000,000: P-50-51; P-52-53; P-58-59; Q-42-43; Q-44-45; Q-50-51; Q-52-53; Q-54-55; Q-56-57; Q-58-59; Q-60-1; R-(40)-42; R-43-(45); R-(45)-47; R-48-(50); R-51; R-53-(55); R-(55)-57; R-58-(60); S-44-46; S-47-49; S-50-52; S-53-55 3.: 1:2,500,000: Quaternary map of the territory of Russian Federation 4.: Alaska Permafrost Map The digitalization was done using GIS techniques (ArcGIS) and vectorization of raster Images (Adobe Photoshop and Illustrator). Data on Yedoma thickness are obtained from boreholes and exposures reported in the scientific literature. The map and database are still preliminary and will have to undergo a technical and scientific vetting and review process. In their current form, we included a range of attributes for Yedoma area polygons based on lithological and stratigraphical information from the original source maps as well as a confidence level for our classification of an area as Yedoma (3 stages: confirmed, likely, or uncertain). In its current version, our database includes more than 365 boreholes and exposures and more than 2000 digitized Yedoma areas. We expect that the database will continue to grow. In this preliminary stage, we estimate the Northern Hemisphere Yedoma deposit area to cover approximately 625,000 km². We estimate that 53% of the total Yedoma area today is located in the tundra zone, 47% in the taiga zone. Separated from west to east, 29% of the Yedoma area is found in North America and 71 % in North Asia. The latter …
issued: 2016-08-04T07:46:44.499440
modified: 2026-03-12T12:43:27.124541
spatial: Location
version info: 1.0
contact point: Organization
  fn: Strauss, Jens
keyword: Alaska
keyword: Canada
keyword: Distribution
keyword: Permafrost
keyword: Russia
keyword: Thickness
keyword: Yedoma
landing page: https://doi.pangaea.de/10.1594/PANGAEA.861733

IRYP-DB, link to ESRI shapefiles
type: Distribution
description: *ZIP containing Shapefiles from doi.pangaea.de/10.1594/PANGAEA.861733:* iryp_data_frames.shp iryp_field_photos.shp iryp_field_sites.shp QG1000k_quaternary_deposits_thickness.shp QG1000k_yedoma_russia.shp QG2500k_yedoma_russia.shp SG500k_yedoma_russia.shp SG7200k_yedoma_alaska.shp western_yukon_loess.shp
format: SHP
issued: 2016-09-07T10:54:54.589933
modified: 2023-06-16T14:19:31.219125
access URL: https://hs.pangaea.de/Maps/IRYP_V1/IRYP_v1_shapefiles.zip
media type: application/zip

IRYP WMS Service
type: Distribution
description: from maps.awi.de
format: WMS
issued: 2020-08-27T10:38:15.600014
modified: 2021-11-01T11:08:41.723827
access URL: https://maps.awi.de/services/projects/apgc/iryp/wms

photographs of Ice-Rich Yedoma permafrost sites
type: Distribution
description: https://doi.pangaea.de/10.1594/PANGAEA.861395
format: GeoJSON
issued: 2016-09-22T10:01:11.202224
modified: 2021-11-01T11:08:41.723712
access URL: https://apgc.awi.de/dataset/98af4e07-c311-480b-816e-6b184d979645/resource/660a0aa2-9763-4385-b054-b6bd6dd1d3dd/download/irypphotodb.geojson

thumbnail.png
type: Distribution
format: PNG
issued: 2016-08-04T09:47:29.814780
modified: 2021-11-01T11:08:41.723062

IRYP-DB, link to FileGDB
type: Distribution
description: *ZIP containing feature-layer from doi.pangaea.de/10.1594/PANGAEA.861733:* iryp_data_frames iryp_field_photos iryp_field_sites QG1000k_quaternary_deposits_thickness QG1000k_yedoma_russia QG2500k_yedoma_russia SG500k_yedoma_russia SG7200k_yedoma_alaska western_yukon_loess *Description: * IRYP_yedoma_digitalization.doc *Tables:* QG1000k_genetic_description iryp_field_sites_detail
format: FileGDB
issued: 2016-09-07T10:59:22.786249
modified: 2023-06-16T14:19:00.117581
access URL: https://hs.pangaea.de/Maps/IRYP_V1/IRYP_v1_ESRI_10.2.2_FileGDB.zip
media type: application/zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 35.36 pts/m² and 13.04 pts/m², respectively. This dataset covers approximately 8.25 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:27:28.221528
modified: 2026-02-26T11:15:57.658863
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962637

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:27:28.225411
modified: 2026-02-26T11:15:57.670209

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:28.225418
modified: 2026-02-26T11:15:57.670592

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:27:28.225406
modified: 2026-02-26T11:15:57.670032

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:28.225415
modified: 2026-02-26T11:15:57.670419

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:28.225417
modified: 2026-02-26T11:15:57.670522
access URL: https://download.pangaea.de/dataset/962637/files/WA_BucklandFireScar_20210627_7cm_02_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:27:28.225423
modified: 2026-02-26T11:15:57.670785
access URL: https://download.pangaea.de/dataset/962637/files/WA_BucklandFireScar_20210627_7cm_02_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:28.225414
modified: 2026-02-26T11:15:57.670352
access URL: https://download.pangaea.de/dataset/962637/files/WA_BucklandFireScar_20210627_7cm_02_Ortho_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:27:28.225410
modified: 2026-02-26T11:15:57.670136

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:27:28.225420
modified: 2026-02-26T11:15:57.670657
access URL: https://download.pangaea.de/dataset/962637/files/WA_BucklandFireScar_20210627_7cm_02_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:28.225413
modified: 2026-02-26T11:15:57.670279

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:27:28.225421
modified: 2026-02-26T11:15:57.670721
access URL: https://download.pangaea.de/dataset/962637/files/WA_BucklandFireScar_20210627_7cm_02_tile_footprints.geojson

40-year monthly mean AVHRR GAC Land Surface Temperature data for the Pan-Arctic region (Pan-Arctic AVHRR LST)
type: Dataset
description: This data collection contains 40 years of monthly mean daytime AVHRR Global Area Coverage (GAC) land surface temperature (LST) data. This dataset covers the 1981-2020 perdiod and covers the whole globe above 50° latitude. The spatial extent of the dataset is the following : (-180°, 50°N) ; (180°, 90°N) The LST monthly mean composites are computed from daily daytime LST files, that were generated from the EUMETSAT AVHRR PyGAC FDR (https://navigator.eumetsat.int/product/EO:EUM:DAT:0862) as described in Dupuis et al. (2024). These daily LST files contain only cloud-free pixels and pixels with sufficient quality regarding satellite zenith angle and error margin from the radiative transfer modelling. The probabilistic cloud mask from the CLARA-A3 (https://navigator.eumetsat.int/product/EO:EUM:DAT:0874) dataset has been used. The LST monthly means do not contain any water masks, as potential users might have different requirements regarding water masks. The dataset has been validated against in situ data from the SURFRAD (https://gml.noaa.gov/grad/surfrad/overview.html), ARM (https://arm.gov/capabilities/observatories/nsa) and KIT (https://www.imk-asf.kit.edu/english/skl_stations.php) networks. AVHRR GAC LST daytime monthly mean composites: daily land surface temperature data are averaged to monthly composites for every afternoon and mid-day satellite (10 different satellites). Satellite identifiers: AVN07 : NOAA 7 AVN09 : NOAA 9 AVN11 : NOAA 11 AVN14 : NOAA 14 AVN16 : NOAA 16 AVN18 : NOAA 18 AVN19 : NOAA 19 AVMEA : MetOp-A AVMEB : MetOp-B AVMEC : MetOp-C The LST files are available as a gridded product in the WGS84 coordinate reference system and are distributed as NetCDF files. The dataset covers the pan-Arctic region (-180°, 90°, 180°, 50°) at a spatial resolution of 0.05°x0.05° pixel size. Each *.nc file contains one variable (LST) with three dimensions (time, lat, lon) and five coordinates (time, lat, lon, band and spatial_ref). ###Citation Dupuis, S., Wunderle, S., …
issued: 2026-03-06T08:22:54.246157
modified: 2026-03-06T10:36:23.906665
spatial: Location
version info: v1
contact point: Organization
  fn: Dupuis, Sonia
keyword: AVHRR
keyword: Earth observation
keyword: Land Surface Temperature
keyword: Satellite imagery
landing page: https://doi.org/10.5281/zenodo.13361744

1990.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:16:39.948784
modified: 2026-03-06T10:16:59.973790
access URL: https://zenodo.org/records/13361744/files/1990.zip

2002.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:21:41.645496
modified: 2026-03-06T10:22:04.255911
access URL: https://zenodo.org/records/13361744/files/2002.zip

2001.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:21:17.700574
modified: 2026-03-06T10:21:41.621187
access URL: https://zenodo.org/records/13361744/files/2001.zip

2005.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:22:48.572262
modified: 2026-03-06T10:23:08.128376
access URL: https://zenodo.org/records/13361744/files/2005.zip

1982.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:13:46.517814
modified: 2026-03-06T10:14:08.774354
access URL: https://zenodo.org/records/13361744/files/1982.zip

2013.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:26:06.762175
modified: 2026-03-06T10:26:30.615350
access URL: https://zenodo.org/records/13361744/files/2013.zip

1988.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:15:55.672549
modified: 2026-03-06T10:16:17.454931
access URL: https://zenodo.org/records/13361744/files/1988.zip

2008.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:23:57.417158
modified: 2026-03-06T10:24:18.809527
access URL: https://zenodo.org/records/13361744/files/2008.zip

2019.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:31:28.406294
modified: 2026-03-06T10:31:57.036683
access URL: https://zenodo.org/records/13361744/files/2019.zip

2018.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:31:08.063813
modified: 2026-03-06T10:31:28.385402
access URL: https://zenodo.org/records/13361744/files/2018.zip

2000.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:20:32.409219
modified: 2026-03-06T10:21:17.599639
access URL: https://zenodo.org/records/13361744/files/2000.zip

2004.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:22:25.717936
modified: 2026-03-06T10:22:48.545488
access URL: https://zenodo.org/records/13361744/files/2004.zip

2014.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:26:30.642468
modified: 2026-03-06T10:26:52.772364
access URL: https://zenodo.org/records/13361744/files/2014.zip

1986.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:15:14.300573
modified: 2026-03-06T10:15:35.075909
access URL: https://zenodo.org/records/13361744/files/1986.zip

1984.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:14:30.488628
modified: 2026-03-06T10:14:51.188243
access URL: https://zenodo.org/records/13361744/files/1984.zip

1989.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:16:17.471102
modified: 2026-03-06T10:16:39.925063
access URL: https://zenodo.org/records/13361744/files/1989.zip

1998.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:19:34.582800
modified: 2026-03-06T10:19:58.929208
access URL: https://zenodo.org/records/13361744/files/1998.zip

2006.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:23:08.146538
modified: 2026-03-06T10:23:29.097611
access URL: https://zenodo.org/records/13361744/files/2006.zip

1985.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:14:51.202366
modified: 2026-03-06T10:15:14.275688
access URL: https://zenodo.org/records/13361744/files/1985.zip

2009.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:24:18.832484
modified: 2026-03-06T10:24:50.625522
access URL: https://zenodo.org/records/13361744/files/2009.zip

1987.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:15:35.090823
modified: 2026-03-06T10:15:55.654046
access URL: https://zenodo.org/records/13361744/files/1987.zip

2017.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:30:38.507505
modified: 2026-03-06T10:31:08.040612
access URL: https://zenodo.org/records/13361744/files/2017.zip

1996.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:18:48.066999
modified: 2026-03-06T10:19:10.802539
access URL: https://zenodo.org/records/13361744/files/1996.zip

1999.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:19:58.945992
modified: 2026-03-06T10:20:32.383821
access URL: https://zenodo.org/records/13361744/files/1999.zip

1993.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:17:42.965472
modified: 2026-03-06T10:18:05.109115
access URL: https://zenodo.org/records/13361744/files/1993.zip

2020.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:31:57.056119
modified: 2026-03-06T10:34:21.295896
access URL: https://zenodo.org/records/13361744/files/2020.zip

2011.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:25:09.812325
modified: 2026-03-06T10:25:42.476685
access URL: https://zenodo.org/records/13361744/files/2011.zip

Download all
type: Distribution
format: ZIP
issued: 2026-03-06T10:34:21.318910
modified: 2026-03-06T10:34:21.296040
access URL: https://zenodo.org/api/records/13361744/files-archive

1983.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:14:08.791395
modified: 2026-03-06T10:14:30.471010
access URL: https://zenodo.org/records/13361744/files/1983.zip

1992.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:17:21.449687
modified: 2026-03-06T10:17:42.943790
access URL: https://zenodo.org/records/13361744/files/1992.zip

2016.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:27:15.611102
modified: 2026-03-06T10:30:38.489534
access URL: https://zenodo.org/records/13361744/files/2016.zip

2012.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:25:42.502736
modified: 2026-03-06T10:26:06.743906
access URL: https://zenodo.org/records/13361744/files/2012.zip

1997.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:19:10.820970
modified: 2026-03-06T10:19:34.561755
access URL: https://zenodo.org/records/13361744/files/1997.zip

1995.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:18:27.242076
modified: 2026-03-06T10:18:48.042801
access URL: https://zenodo.org/records/13361744/files/1995.zip

2015.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:26:52.791242
modified: 2026-03-06T10:27:15.591085
access URL: https://zenodo.org/records/13361744/files/2015.zip

1981.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:13:13.531770
modified: 2026-03-06T10:13:46.494444
access URL: https://zenodo.org/records/13361744/files/1981.zip

1991.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:16:59.998335
modified: 2026-03-06T10:17:21.416188
access URL: https://zenodo.org/records/13361744/files/1991.zip

2010.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:24:50.647585
modified: 2026-03-06T10:25:09.790873
access URL: https://zenodo.org/records/13361744/files/2010.zip

2007.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:23:29.126744
modified: 2026-03-06T10:23:57.371224
access URL: https://zenodo.org/records/13361744/files/2007.zip

1994.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:18:05.123805
modified: 2026-03-06T10:18:27.212094
access URL: https://zenodo.org/records/13361744/files/1994.zip

2003.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:22:04.278142
modified: 2026-03-06T10:22:25.695548
access URL: https://zenodo.org/records/13361744/files/2003.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 04)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 2.79 pts/m² and 1.03 pts/m², respectively. This dataset covers approximately 31.07 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:47:29.651102
modified: 2026-02-26T11:17:06.054877
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962737

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:47:29.653854
modified: 2026-02-26T11:17:06.069417
access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:47:29.653847
modified: 2026-02-26T11:17:06.068815
access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:47:29.653853
modified: 2026-02-26T11:17:06.069298
access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:47:29.653850
modified: 2026-02-26T11:17:06.069061
access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:47:29.653846
modified: 2026-02-26T11:17:06.068689

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:47:29.653844
modified: 2026-02-26T11:17:06.068547

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:47:29.653843
modified: 2026-02-26T11:17:06.068278

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:47:29.653851
modified: 2026-02-26T11:17:06.069179

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:47:29.653839
modified: 2026-02-26T11:17:06.067893

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:47:29.653849
modified: 2026-02-26T11:17:06.068936

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:47:29.653855
modified: 2026-02-26T11:17:06.069534
access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_processing_info.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Kitluk Coast, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.70 pts/m² and 3.22 pts/m², respectively. This dataset covers approximately 24.60 km² of the Kitluk Coast the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:28:34.732658
modified: 2026-02-26T11:16:36.711111
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Dtlb
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962787

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:28:34.742746
modified: 2026-02-26T11:16:36.718426

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:28:34.742740
modified: 2026-02-26T11:16:36.718148

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:28:34.742737
modified: 2026-02-26T11:16:36.717998

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:28:34.742748
modified: 2026-02-26T11:16:36.718494
access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:28:34.742732
modified: 2026-02-26T11:16:36.717889

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:28:34.742739
modified: 2026-02-26T11:16:36.718075

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:28:34.742743
modified: 2026-02-26T11:16:36.718288

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:28:34.742749
modified: 2026-02-26T11:16:36.718562
access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:28:34.742751
modified: 2026-02-26T11:16:36.718630
access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:28:34.742745
modified: 2026-02-26T11:16:36.718358
access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_DSM_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:28:34.742742
modified: 2026-02-26T11:16:36.718218
access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Cape Blossom, Alaska (10 cm)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 7.55 pts/m² and 2.86 pts/m², respectively. This dataset covers approximately 23.28 km² of Cape Blossom in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:55:37.141522
modified: 2026-02-26T11:17:19.785826
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Island
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962647

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:55:37.166603
modified: 2026-02-26T11:17:19.822730
access URL: https://download.pangaea.de/dataset/962647/files/WA_CapeBlossom_20210627_10cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:55:37.166592
modified: 2026-02-26T11:17:19.821756

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:55:37.166606
modified: 2026-02-26T11:17:19.822910
access URL: https://download.pangaea.de/dataset/962647/files/WA_CapeBlossom_20210627_10cm_01_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:55:37.166589
modified: 2026-02-26T11:17:19.821562

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:55:37.166594
modified: 2026-02-26T11:17:19.821989
access URL: https://download.pangaea.de/dataset/962647/files/WA_CapeBlossom_20210627_10cm_01_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:55:37.166601
modified: 2026-02-26T11:17:19.822546

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:55:37.166598
modified: 2026-02-26T11:17:19.822364
access URL: https://download.pangaea.de/dataset/962647/files/WA_CapeBlossom_20210627_10cm_01_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:55:37.166581
modified: 2026-02-26T11:17:19.821076

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:55:37.166586
modified: 2026-02-26T11:17:19.821354

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:55:37.166596
modified: 2026-02-26T11:17:19.822179

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:55:37.166608
modified: 2026-02-26T11:17:19.823089
access URL: https://download.pangaea.de/dataset/962647/files/WA_CapeBlossom_20210627_10cm_01_processing_info.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 09)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 16.79 pts/m² and 6.45 pts/m², respectively. This dataset covers approximately 10.73 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:40:20.082069
modified: 2026-02-26T11:16:55.755751
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962228

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:40:20.084576
modified: 2026-02-26T11:16:55.764808
access URL: https://download.pangaea.de/dataset/962228/files/NA_TeshekpukLakeNorth_20190723_7cm_09_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:40:20.084582
modified: 2026-02-26T11:16:55.765141
access URL: https://download.pangaea.de/dataset/962228/files/NA_TeshekpukLakeNorth_20190723_7cm_09_processing_info.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:40:20.084569
modified: 2026-02-26T11:16:55.764436

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:40:20.084565
modified: 2026-02-26T11:16:55.764330

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:40:20.084573
modified: 2026-02-26T11:16:55.764672
access URL: https://download.pangaea.de/dataset/962228/files/NA_TeshekpukLakeNorth_20190723_7cm_09_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:40:20.084575
modified: 2026-02-26T11:16:55.764742

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:40:20.084579
modified: 2026-02-26T11:16:55.764938
access URL: https://download.pangaea.de/dataset/962228/files/NA_TeshekpukLakeNorth_20190723_7cm_09_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:40:20.084577
modified: 2026-02-26T11:16:55.764873

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:40:20.084571
modified: 2026-02-26T11:16:55.764510

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:40:20.084580
modified: 2026-02-26T11:16:55.765004
access URL: https://download.pangaea.de/dataset/962228/files/NA_TeshekpukLakeNorth_20190723_7cm_09_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:40:20.084572
modified: 2026-02-26T11:16:55.764603

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 03)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 15.68 px/m³ and 4.35 px/m³ respectively. This dataset covers approximately 21.37 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:41.742754
modified: 2026-02-26T11:17:09.479681
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962002

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:41.748276
modified: 2026-02-26T11:17:09.488519

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:41.748269
modified: 2026-02-26T11:17:09.488154

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:41.748267
modified: 2026-02-26T11:17:09.488070

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:41.748273
modified: 2026-02-26T11:17:09.488357

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:41.748272
modified: 2026-02-26T11:17:09.488291
access URL: https://download.pangaea.de/dataset/962002/files/WC_TrailValleyCreek_20180822_10cm_03_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:41.748278
modified: 2026-02-26T11:17:09.488660
access URL: https://download.pangaea.de/dataset/962002/files/WC_TrailValleyCreek_20180822_10cm_03_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:41.748279
modified: 2026-02-26T11:17:09.488729
access URL: https://download.pangaea.de/dataset/962002/files/WC_TrailValleyCreek_20180822_10cm_03_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:41.748264
modified: 2026-02-26T11:17:09.487874

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:41.748277
modified: 2026-02-26T11:17:09.488590
access URL: https://download.pangaea.de/dataset/962002/files/WC_TrailValleyCreek_20180822_10cm_03_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:41.748270
modified: 2026-02-26T11:17:09.488223

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:41.748274
modified: 2026-02-26T11:17:09.488446
access URL: https://download.pangaea.de/dataset/962002/files/WC_TrailValleyCreek_20180822_10cm_03_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 05)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 38.39 pts/m² and 12.95 pts/m², respectively. This dataset covers approximately 7.77 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:29:50.528203
modified: 2026-02-26T11:16:01.053988
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962642

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:29:50.531765
modified: 2026-02-26T11:16:01.061271

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:29:50.531774
modified: 2026-02-26T11:16:01.061526
access URL: https://download.pangaea.de/dataset/962642/files/WA_BucklandFireScar_20210627_7cm_05_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:29:50.531756
modified: 2026-02-26T11:16:01.060995

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:29:50.531770
modified: 2026-02-26T11:16:01.061400

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:29:50.531772
modified: 2026-02-26T11:16:01.061463
access URL: https://download.pangaea.de/dataset/962642/files/WA_BucklandFireScar_20210627_7cm_05_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:29:50.531768
modified: 2026-02-26T11:16:01.061335
access URL: https://download.pangaea.de/dataset/962642/files/WA_BucklandFireScar_20210627_7cm_05_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:29:50.531759
modified: 2026-02-26T11:16:01.061068

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:29:50.531776
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access URL: https://download.pangaea.de/dataset/962642/files/WA_BucklandFireScar_20210627_7cm_05_processing_info.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:29:50.531761
modified: 2026-02-26T11:16:01.061137

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:29:50.531763
modified: 2026-02-26T11:16:01.061205
access URL: https://download.pangaea.de/dataset/962642/files/WA_BucklandFireScar_20210627_7cm_05_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:29:50.531750
modified: 2026-02-26T11:16:01.060889

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Veremeeva'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:28.799107
modified: 2026-03-23T13:54:12.340074
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.983065

Preview
type: Distribution
format: PNG
issued: 2026-03-23T13:53:49.409928
modified: 2026-03-23T13:53:49.370050
byte size: 281163
media type: image/png

983065_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T14:52:52.592814
modified: 2026-03-23T13:53:49.369852
access URL: https://apgc.awi.de/dataset/aa2cf5f9-a47e-4b66-aa39-eae525ae0425/resource/a7a9164e-3baa-4b34-898c-084ad2e224a6/download/983065_data.csv
byte size: 220566
media type: text/csv

thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:28.801329
modified: 2026-03-18T14:52:52.572148
access URL: https://doi.pangaea.de/10.1594/PANGAEA.983065

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 07)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 14.12 px/m³ and 5.05 px/m³ respectively. This dataset covers approximately 21.41 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:47.300504
modified: 2026-02-26T11:17:15.356366
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962010

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:47.310402
modified: 2026-02-26T11:17:15.365359
access URL: https://download.pangaea.de/dataset/962010/files/WC_TrailValleyCreek_20180822_10cm_07_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:47.310426
modified: 2026-02-26T11:17:15.365751
access URL: https://download.pangaea.de/dataset/962010/files/WC_TrailValleyCreek_20180822_10cm_07_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:47.310418
modified: 2026-02-26T11:17:15.365622
access URL: https://download.pangaea.de/dataset/962010/files/WC_TrailValleyCreek_20180822_10cm_07_PointClouds_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:47.310422
modified: 2026-02-26T11:17:15.365686
access URL: https://download.pangaea.de/dataset/962010/files/WC_TrailValleyCreek_20180822_10cm_07_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:47.310410
modified: 2026-02-26T11:17:15.365490
access URL: https://download.pangaea.de/dataset/962010/files/WC_TrailValleyCreek_20180822_10cm_07_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:47.310389
modified: 2026-02-26T11:17:15.365150

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:47.310414
modified: 2026-02-26T11:17:15.365555

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:47.310406
modified: 2026-02-26T11:17:15.365425

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:47.310398
modified: 2026-02-26T11:17:15.365292

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:47.310394
modified: 2026-02-26T11:17:15.365224

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:47.310380
modified: 2026-02-26T11:17:15.365041

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 06)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 37.36 pts/m² and 12.48 pts/m², respectively. This dataset covers approximately 9.46 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:17:20.270976
modified: 2026-02-26T11:16:21.487646
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962312

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:17:20.358311
modified: 2026-02-26T11:16:21.498859
access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:17:20.358306
modified: 2026-02-26T11:16:21.498587

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:17:20.358310
modified: 2026-02-26T11:16:21.498793

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:17:20.358317
modified: 2026-02-26T11:16:21.499125
access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:17:20.358299
modified: 2026-02-26T11:16:21.498408

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:17:20.358307
modified: 2026-02-26T11:16:21.498657

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:17:20.358308
modified: 2026-02-26T11:16:21.498725
access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:17:20.358313
modified: 2026-02-26T11:16:21.498925

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:17:20.358315
modified: 2026-02-26T11:16:21.499059
access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:17:20.358304
modified: 2026-02-26T11:16:21.498513

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:17:20.358314
modified: 2026-02-26T11:16:21.498993
access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Cape Blossom, Alaska (20 cm)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.66 pts/m² and 1.34 pts/m², respectively. This dataset covers approximately 25.22 km² of Cape Blossom in Alaska, with all images collected on 25 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T15:44:47.903461
modified: 2026-02-26T11:17:18.563199
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Baldwin Peninsula
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962594

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T15:44:47.906889
modified: 2026-02-26T11:17:18.574585

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T15:44:47.906884
modified: 2026-02-26T11:17:18.574359

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T15:44:47.906900
modified: 2026-02-26T11:17:18.575257
access URL: https://download.pangaea.de/dataset/962594/files/WA_CapeBlossom_20210625_20cm_01_processing_info.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T15:44:47.906899
modified: 2026-02-26T11:17:18.575176
access URL: https://download.pangaea.de/dataset/962594/files/WA_CapeBlossom_20210625_20cm_01_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T15:44:47.906897
modified: 2026-02-26T11:17:18.575095
access URL: https://download.pangaea.de/dataset/962594/files/WA_CapeBlossom_20210625_20cm_01_PointClouds_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T15:44:47.906887
modified: 2026-02-26T11:17:18.574493

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T15:44:47.906896
modified: 2026-02-26T11:17:18.575011

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T15:44:47.906891
modified: 2026-02-26T11:17:18.574673

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T15:44:47.906892
modified: 2026-02-26T11:17:18.574757
access URL: https://download.pangaea.de/dataset/962594/files/WA_CapeBlossom_20210625_20cm_01_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T15:44:47.906895
modified: 2026-02-26T11:17:18.574920
access URL: https://download.pangaea.de/dataset/962594/files/WA_CapeBlossom_20210625_20cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T15:44:47.906893
modified: 2026-02-26T11:17:18.574840

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 05)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 14.48 px/m³ and 4.74 px/m³ respectively. This dataset covers approximately 21.39 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:44.603128
modified: 2026-02-26T11:17:12.278223
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962004

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:44.612932
modified: 2026-02-26T11:17:12.302450

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:44.612949
modified: 2026-02-26T11:17:12.302712
access URL: https://download.pangaea.de/dataset/962004/files/WC_TrailValleyCreek_20180822_10cm_05_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:44.612928
modified: 2026-02-26T11:17:12.302376
access URL: https://download.pangaea.de/dataset/962004/files/WC_TrailValleyCreek_20180822_10cm_05_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:44.612945
modified: 2026-02-26T11:17:12.302648
access URL: https://download.pangaea.de/dataset/962004/files/WC_TrailValleyCreek_20180822_10cm_05_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:44.612936
modified: 2026-02-26T11:17:12.302518
access URL: https://download.pangaea.de/dataset/962004/files/WC_TrailValleyCreek_20180822_10cm_05_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:44.612940
modified: 2026-02-26T11:17:12.302583

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:44.612924
modified: 2026-02-26T11:17:12.302308

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:44.612953
modified: 2026-02-26T11:17:12.302780
access URL: https://download.pangaea.de/dataset/962004/files/WC_TrailValleyCreek_20180822_10cm_05_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:44.612904
modified: 2026-02-26T11:17:12.302049

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:44.612920
modified: 2026-02-26T11:17:12.302235

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:44.612915
modified: 2026-02-26T11:17:12.302162

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Noatak Valley, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 27.18 pts/m² and 9.22 pts/m², respectively. This dataset covers approximately 12.96 km² of the northern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:32:46.805119
modified: 2026-02-26T11:16:41.807476
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962724

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:46.809639
modified: 2026-02-26T11:16:41.815529
access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_Ortho_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:32:46.809635
modified: 2026-02-26T11:16:41.815306

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:32:46.809637
modified: 2026-02-26T11:16:41.815391

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:46.809642
modified: 2026-02-26T11:16:41.815667
access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:32:46.809631
modified: 2026-02-26T11:16:41.815191

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:46.809638
modified: 2026-02-26T11:16:41.815462

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:32:46.809647
modified: 2026-02-26T11:16:41.815868
access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:32:46.809648
modified: 2026-02-26T11:16:41.815935
access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:46.809644
modified: 2026-02-26T11:16:41.815734

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:46.809641
modified: 2026-02-26T11:16:41.815599

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:32:46.809645
modified: 2026-02-26T11:16:41.815802
access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 08)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 11.92 px/m³ and 3.96 px/m³ respectively. This dataset covers approximately 15.46 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:48.463295
modified: 2026-02-26T11:17:16.713487
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962011

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:48.465776
modified: 2026-02-26T11:17:16.724593
access URL: https://download.pangaea.de/dataset/962011/files/WC_TrailValleyCreek_20180822_10cm_08_Ortho_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:48.465772
modified: 2026-02-26T11:17:16.723355

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:48.465779
modified: 2026-02-26T11:17:16.726072
access URL: https://download.pangaea.de/dataset/962011/files/WC_TrailValleyCreek_20180822_10cm_08_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:48.465784
modified: 2026-02-26T11:17:16.727693
access URL: https://download.pangaea.de/dataset/962011/files/WC_TrailValleyCreek_20180822_10cm_08_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:48.465782
modified: 2026-02-26T11:17:16.726567
access URL: https://download.pangaea.de/dataset/962011/files/WC_TrailValleyCreek_20180822_10cm_08_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:48.465774
modified: 2026-02-26T11:17:16.723622

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:48.465780
modified: 2026-02-26T11:17:16.726325

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:48.465769
modified: 2026-02-26T11:17:16.723016

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:48.465775
modified: 2026-02-26T11:17:16.723875

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:48.465778
modified: 2026-02-26T11:17:16.725737

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:48.465783
modified: 2026-02-26T11:17:16.726807
access URL: https://download.pangaea.de/dataset/962011/files/WC_TrailValleyCreek_20180822_10cm_08_tile_footprints.geojson

DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.2
type: Dataset
description: This dataset, called DARTS, comprises footprints of active parts of retrogressive thaw slump (RTS) identified and quantified using an automated deep learning approach in RTS hotspots across the Arctic and Subarctic permafrost regions. We utilized multispectral PlanetScope imagery with a spatial resolution of ~3 meters (m), complemented by ArcticDEM (Digital Elevation Model) and derived datasets, including slope, relative elevation, and Landsat-derived change trends. The dataset covers an area of 1.6 million square-kilometers (km²), with at least one coverage between 2021 and 2023, and provides annual coverage for approximately 900,000 km². In several highly active key sites, such as Banks Island, Peel Plateau, and Novaya Zemlya, we extended the data frequency and temporal coverage to 2018-2023. We mapped a total of more than 43,000 individual RTS and ALD, many of them multiple times. We offer two levels of datasets; Level 1: RTS footprints per image with timestamps; and Level 2: annually aggregated RTS footprints. Essential metadata includes image footprints, dataset coverage, timestamps, and model-specific information. To enhance reproducibility and further use, the training labels, processing code, and model checkpoints are publicly available. This version, v1.2, is the second revision of the first openly accessible release. The dataset will be maintained and continuously updated in both spatial and temporal extent. It can be used for mapping and quantifying RTS, analyzing spatio-temporal patterns of RTS dynamics, or serving as input for landscape dynamics models. ### Citation Ingmar Nitze, Konrad Heidler, Nina Nesterova, Jonas Küpper, Emma Schütt, Tobias Hölzer, Sophia Barth, Mark J. Lara, Anna Liljedahl, & Guido Grosse. (2025). DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.2. Arctic Data Center. doi:10.18739/A22B8VD7C. ### Methods __Step 1: Ethical Research Practices__ All data w…
issued: 2026-02-27T10:19:14.322161
modified: 2026-03-09T10:50:50.597325
spatial: Location
version info: 1.2
contact point: Organization
  fn: Nitze, Ingmar
keyword: ALD
keyword: Active Layer Detachment Slides
keyword: Arctic
keyword: Artificial Intelligence
keyword: Cryosphere
keyword: Deep learning
keyword: Erosion
keyword: Landslides
keyword: Permafrost
keyword: RTS
keyword: Remote Sensing
keyword: Retrogressive Thaw Slumps
keyword: Thermokarst
landing page: https://doi.org/10.18739/A22B8VD7C

COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2018-2023_level1.parquet
type: Distribution
format: PARQUET
issued: 2026-02-27T15:09:18.719080
modified: 2026-02-27T15:17:46.247833
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A778ea235-6805-4571-bf65-6bb7dce97eb0

FEATURES: README.md
type: Distribution
issued: 2026-02-27T15:11:39.140916
modified: 2026-03-02T09:31:26.768501
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Aed61cdcb-4cfd-40fe-9888-ba654cfc318d

FEATURES: DARTS_NitzeEtAl_v1-2_features_2018-2023_level2.gpkg
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format: GPKG
issued: 2026-03-02T09:15:18.596729
modified: 2026-03-02T09:16:14.397513
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Af1169dfd-0b3e-405f-9c56-4ff3c4827316

COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2021-2023_intersect.gpkg
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format: GPKG
issued: 2026-03-02T09:20:24.361268
modified: 2026-03-02T09:21:18.295075
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Afa8b52fd-bd86-4e1f-a866-950adb84ce33

FEATURES: README.txt
type: Distribution
issued: 2026-02-27T15:10:56.982014
modified: 2026-03-02T09:31:07.190759
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A2c96dc81-3aaf-48a9-9025-44fdf7de16f4

FEATURES: Metadata: DARTS_NitzeEtAl_v1-2_features_2018-2023_level2_description.xlsx
type: Distribution
format: XLSX
issued: 2026-03-02T09:26:43.727352
modified: 2026-03-02T09:27:36.171876
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A4c986f87-daf5-40dd-99b1-eb79bc6a8536

COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2018-2023_union.parquet
type: Distribution
format: PARQUET
issued: 2026-03-02T09:27:36.242936
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ac84898f2-b377-4285-969a-9077d2bfee0a

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type: Distribution
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modified: 2026-03-02T09:29:29.353429
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A36c4ba10-f517-4500-80f2-258ac5ba8efd

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type: Distribution
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Aa0a9ee4c-821b-4122-ba28-147d254247be

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issued: 2026-03-02T09:18:01.046550
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issued: 2026-03-02T09:22:18.328303
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A4c986f87-daf5-40dd-99b1-eb79bc6a8536

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format: GPKG
issued: 2026-02-27T15:14:57.923097
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A6d6e5f34-0416-4a9c-bc20-9bb2bfe16d3e

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issued: 2026-03-02T09:18:56.342700
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A19647a17-7741-4d15-acdd-e7149017e762

FEATURES: Metadata: DARTS_Multi_year_database_of_AI_detected.xml
type: Distribution
format: XML
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Acfb5dcaa-3e13-4624-8c76-af32761aa686

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issued: 2026-02-27T15:10:17.449068
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A2f5860db-bd10-4542-a65b-e225fdfa8da4

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type: Distribution
format: PARQUET
issued: 2026-03-02T09:16:14.523863
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Abc7b1bda-0cc6-4e36-9cb0-ebfefc1204de

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 04)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.92 pts/m² and 3.11 pts/m², respectively. This dataset covers approximately 14.54 km² of the central North Slope in Alaska, with all images collected on 29 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:10:25.713848
modified: 2026-02-26T11:16:06.581498
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962544

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:10:25.719730
modified: 2026-02-26T11:16:06.609324

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:10:25.719740
modified: 2026-02-26T11:16:06.609854
access URL: https://download.pangaea.de/dataset/962544/files/NA_NorthSlopeCentral_20190729_10cm_04_tile_footprints.geojson

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:25.719731
modified: 2026-02-26T11:16:06.609397

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:10:25.719728
modified: 2026-02-26T11:16:06.609250

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:25.719734
modified: 2026-02-26T11:16:06.609534

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:25.719735
modified: 2026-02-26T11:16:06.609627
access URL: https://download.pangaea.de/dataset/962544/files/NA_NorthSlopeCentral_20190729_10cm_04_DSM_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:10:25.719725
modified: 2026-02-26T11:16:06.609135

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:10:25.719741
modified: 2026-02-26T11:16:06.609922
access URL: https://download.pangaea.de/dataset/962544/files/NA_NorthSlopeCentral_20190729_10cm_04_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:25.719733
modified: 2026-02-26T11:16:06.609466
access URL: https://download.pangaea.de/dataset/962544/files/NA_NorthSlopeCentral_20190729_10cm_04_Ortho_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:25.719737
modified: 2026-02-26T11:16:06.609697

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:10:25.719738
modified: 2026-02-26T11:16:06.609763
access URL: https://download.pangaea.de/dataset/962544/files/NA_NorthSlopeCentral_20190729_10cm_04_PointClouds_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Central North Slope, Alaska (subset 01)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.00 pts/m² and 3.15 pts/m², respectively. This dataset covers approximately 13.79 km² of the central North Slope in Alaska, with all images collected on 29 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:31:32.524110
modified: 2026-02-26T11:16:03.197732
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962539

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:31:32.530415
modified: 2026-02-26T11:16:03.206795
access URL: https://download.pangaea.de/dataset/962539/files/NA_NorthSlopeCentral_20190729_10cm_01_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:31:32.530400
modified: 2026-02-26T11:16:03.206334

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:31:32.530426
modified: 2026-02-26T11:16:03.207136
access URL: https://download.pangaea.de/dataset/962539/files/NA_NorthSlopeCentral_20190729_10cm_01_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:31:32.530418
modified: 2026-02-26T11:16:03.206879

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:31:32.530420
modified: 2026-02-26T11:16:03.206967
access URL: https://download.pangaea.de/dataset/962539/files/NA_NorthSlopeCentral_20190729_10cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:31:32.530412
modified: 2026-02-26T11:16:03.206710

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:31:32.530403
modified: 2026-02-26T11:16:03.206434

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:31:32.530409
modified: 2026-02-26T11:16:03.206617
access URL: https://download.pangaea.de/dataset/962539/files/NA_NorthSlopeCentral_20190729_10cm_01_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:31:32.530393
modified: 2026-02-26T11:16:03.206182

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:31:32.530406
modified: 2026-02-26T11:16:03.206525

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:31:32.530423
modified: 2026-02-26T11:16:03.207051
access URL: https://download.pangaea.de/dataset/962539/files/NA_NorthSlopeCentral_20190729_10cm_01_tile_footprints.geojson

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Noatak Valley, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 28.77 pts/m² and 9.89 pts/m², respectively. This dataset covers approximately 12.16 km² of the northern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:31:02.608543
modified: 2026-02-26T11:16:39.379344
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962718

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:31:02.611647
modified: 2026-02-26T11:16:39.386568

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:31:02.611641
modified: 2026-02-26T11:16:39.386276

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:31:02.611642
modified: 2026-02-26T11:16:39.386351
access URL: https://download.pangaea.de/dataset/962718/files/WA_NoatakValleyN_20210702_7cm_01_Ortho_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:31:02.611651
modified: 2026-02-26T11:16:39.386784
access URL: https://download.pangaea.de/dataset/962718/files/WA_NoatakValleyN_20210702_7cm_01_processing_info.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:31:02.611639
modified: 2026-02-26T11:16:39.386199

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:31:02.611645
modified: 2026-02-26T11:16:39.386496
access URL: https://download.pangaea.de/dataset/962718/files/WA_NoatakValleyN_20210702_7cm_01_DSM_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:31:02.611649
modified: 2026-02-26T11:16:39.386710
access URL: https://download.pangaea.de/dataset/962718/files/WA_NoatakValleyN_20210702_7cm_01_tile_footprints.geojson

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:31:02.611634
modified: 2026-02-26T11:16:39.385999

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:31:02.611644
modified: 2026-02-26T11:16:39.386424

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:31:02.611638
modified: 2026-02-26T11:16:39.386119

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:31:02.611648
modified: 2026-02-26T11:16:39.386639
access URL: https://download.pangaea.de/dataset/962718/files/WA_NoatakValleyN_20210702_7cm_01_PointClouds_tiles.zip

Database of Ice-Rich Yedoma Permafrost Version 2 (IRYP v2)
type: Dataset
description: Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma dep…
issued: 2022-01-25T11:23:08.715063
modified: 2026-03-12T12:16:18.790512
spatial: Location
version info: 2.0
contact point: Organization
  fn: Strauss, Jens
keyword: Climate feedback
keyword: Greenhouse gas source
keyword: Late Pleistocene
keyword: Permafrost
keyword: Thermokarst
keyword: Yedoma
landing page: https://doi.pangaea.de/10.1594/PANGAEA.940078

IRYP v2 yedoma field photos Shapefile
type: Distribution
format: SHP
issued: 2022-01-25T11:54:22.040782
modified: 2022-01-25T11:55:15.148450
access URL: https://download.pangaea.de/dataset/940078/files/IRYP_v2_field_photos_Shapefile.zip
media type: application/zip

IRYP v2 yedoma field sites Shapefile
type: Distribution
format: SHP
issued: 2022-01-25T11:52:37.977165
modified: 2022-01-25T11:53:12.106181
access URL: https://download.pangaea.de/dataset/940078/files/IRYP_v2_field_sites_Shapefile.zip
media type: application/zip

IRYP v2 FileGDB
type: Distribution
format: FileGDB
issued: 2022-01-25T11:55:15.177439
modified: 2022-01-25T15:42:00.029772
access URL: https://download.pangaea.de/dataset/940078/files/IRYP_v2_FileGDB.zip
media type: application/zip

IRYP v2 yedoma confidence Shapefile
type: Distribution
format: SHP
issued: 2022-01-25T11:51:16.644016
modified: 2022-01-25T11:51:52.768110
access URL: https://download.pangaea.de/dataset/940078/files/IRYP_v2_yedoma_confidence_Shapefile.zip
media type: application/zip

IRYP v2 yedoma map sources Shapefile
type: Distribution
format: SHP
issued: 2022-01-25T11:53:12.123755
modified: 2022-01-25T11:54:22.019525
access URL: https://download.pangaea.de/dataset/940078/files/IRYP_v2_map_sources_Shapefile.zip
media type: application/zip

IRYP v2 yedoma domain Shapefile
type: Distribution
format: SHP
issued: 2022-01-25T11:51:52.783547
modified: 2022-01-25T11:52:37.953951
access URL: https://download.pangaea.de/dataset/940078/files/IRYP_v2_yedoma_domain_Shapefile.zip
media type: application/zip

Preview
type: Distribution
format: JPEG
issued: 2022-01-25T11:49:17.349557
modified: 2022-01-25T11:49:17.631288
byte size: 875711
media type: image/jpeg

Publication this dataset is a supplement to
type: Distribution
description: Strauss J, Laboor S, Schirrmeister L, Fedorov AN, Fortier D, Froese D, Fuchs M, Günther F, Grigoriev M, Harden J, Hugelius G, Jongejans LL, Kanevskiy M, Kholodov A, Kunitsky V, Kraev G, Lozhkin A, Rivkina E, Shur Y, Siegert C, Spektor V, Streletskaya I, Ulrich M, Vartanyan S, Veremeeva A, Anthony KW, Wetterich S, Zimov N and Grosse G (2021) Circum-Arctic Map of the Yedoma Permafrost Domain. Front. Earth Sci. 9:758360. doi: 10.3389/feart.2021.758360
format: HTML
issued: 2022-01-25T15:42:00.047127
modified: 2022-01-26T12:09:38.858676
access URL: https://doi.org/10.3389/feart.2021.758360

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Anaktuvuk River Fire Scar (subset 02)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 22.36 pts/m² and 7.52 pts/m², respectively. This dataset covers approximately 7.52 km² of the Anaktuvuk River fire scar in Alaska, with all images collected on 22 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:24:02.568992
modified: 2026-02-26T11:15:51.075699
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Tundra
landing page: https://doi.org/10.1594/PANGAEA.962118

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572897
modified: 2026-02-26T11:15:51.087899

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:24:02.572893
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:24:02.572901
modified: 2026-02-26T11:15:51.088094
access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:24:02.572888
modified: 2026-02-26T11:15:51.087447

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572895
modified: 2026-02-26T11:15:51.087833
access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:24:02.572902
modified: 2026-02-26T11:15:51.088158
access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:24:02.572891
modified: 2026-02-26T11:15:51.087614

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572894
modified: 2026-02-26T11:15:51.087763

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572899
modified: 2026-02-26T11:15:51.088030

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:24:02.572903
modified: 2026-02-26T11:15:51.088348
access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572898
modified: 2026-02-26T11:15:51.087965
access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Cape Simpson, Alaska (subset 04)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 27.34 pts/m² and 9.89 pts/m², respectively. This dataset covers approximately 4.38 km² of Cape Simpson in Alaska, with all images collected on 19 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:13:30.035084
modified: 2026-02-26T11:15:37.827165
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962042

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:13:30.041345
modified: 2026-02-26T11:15:37.834464

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:13:30.041339
modified: 2026-02-26T11:15:37.834286

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:13:30.041348
modified: 2026-02-26T11:15:37.834619
access URL: https://download.pangaea.de/dataset/962042/files/NA_CapeSimpson_20190719_7cm_04_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:13:30.041349
modified: 2026-02-26T11:15:37.834688

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:13:30.041353
modified: 2026-02-26T11:15:37.834884
access URL: https://download.pangaea.de/dataset/962042/files/NA_CapeSimpson_20190719_7cm_04_PointClouds_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:13:30.041356
modified: 2026-02-26T11:15:37.835013
access URL: https://download.pangaea.de/dataset/962042/files/NA_CapeSimpson_20190719_7cm_04_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:13:30.041350
modified: 2026-02-26T11:15:37.834754
access URL: https://download.pangaea.de/dataset/962042/files/NA_CapeSimpson_20190719_7cm_04_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:13:30.041346
modified: 2026-02-26T11:15:37.834551

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:13:30.041352
modified: 2026-02-26T11:15:37.834819

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:13:30.041355
modified: 2026-02-26T11:15:37.834948
access URL: https://download.pangaea.de/dataset/962042/files/NA_CapeSimpson_20190719_7cm_04_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:13:30.041343
modified: 2026-02-26T11:15:37.834391

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 02)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 16.19 px/m³ and 5.15 px/m³ respectively. This dataset covers approximately 21.36 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:40.443628
modified: 2026-02-26T11:17:08.282016
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.961944

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:40.447418
modified: 2026-02-26T11:17:08.289187
access URL: https://download.pangaea.de/dataset/961944/files/WC_TrailValleyCreek_20180822_10cm_02_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:40.447420
modified: 2026-02-26T11:17:08.289258

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:40.447415
modified: 2026-02-26T11:17:08.289043
access URL: https://download.pangaea.de/dataset/961944/files/WC_TrailValleyCreek_20180822_10cm_02_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:40.447407
modified: 2026-02-26T11:17:08.288702

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:40.447423
modified: 2026-02-26T11:17:08.289396
access URL: https://download.pangaea.de/dataset/961944/files/WC_TrailValleyCreek_20180822_10cm_02_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:40.447422
modified: 2026-02-26T11:17:08.289328
access URL: https://download.pangaea.de/dataset/961944/files/WC_TrailValleyCreek_20180822_10cm_02_PointClouds_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:40.447425
modified: 2026-02-26T11:17:08.289466
access URL: https://download.pangaea.de/dataset/961944/files/WC_TrailValleyCreek_20180822_10cm_02_processing_info.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:40.447417
modified: 2026-02-26T11:17:08.289116

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:40.447410
modified: 2026-02-26T11:17:08.288813

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:40.447414
modified: 2026-02-26T11:17:08.288970

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:40.447412
modified: 2026-02-26T11:17:08.288895

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Noatak Valley, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 27.10 pts/m² and 9.15 pts/m², respectively. This dataset covers approximately 12.56 km² of the northern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:32:04.818132
modified: 2026-02-26T11:16:40.521766
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962721

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822208
modified: 2026-02-26T11:16:40.530488
access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:32:04.822214
modified: 2026-02-26T11:16:40.530761
access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822205
modified: 2026-02-26T11:16:40.530351
access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_Ortho_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:32:04.822197
modified: 2026-02-26T11:16:40.530019

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:32:04.822201
modified: 2026-02-26T11:16:40.530130

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:32:04.822202
modified: 2026-02-26T11:16:40.530206

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822207
modified: 2026-02-26T11:16:40.530420

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:32:04.822212
modified: 2026-02-26T11:16:40.530686
access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:32:04.822211
modified: 2026-02-26T11:16:40.530621
access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822204
modified: 2026-02-26T11:16:40.530281

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822209
modified: 2026-02-26T11:16:40.530555

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Meade Fire Scar, Alaska (subset 02)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.11 pts/m² and 3.21 pts/m², respectively. This dataset covers approximately 21.10 km² of the Meade fire scar in Alaska, with all images collected on 29 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:22:19.677791
modified: 2026-02-26T11:15:48.198698
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962536

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:22:19.681326
modified: 2026-02-26T11:15:48.210829

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:22:19.681322
modified: 2026-02-26T11:15:48.210406
access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_Ortho_tiles.zip

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:22:19.681329
modified: 2026-02-26T11:15:48.211106
access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:22:19.681317
modified: 2026-02-26T11:15:48.209954

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:22:19.681320
modified: 2026-02-26T11:15:48.210262

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:22:19.681319
modified: 2026-02-26T11:15:48.210113

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:22:19.681323
modified: 2026-02-26T11:15:48.210547

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:22:19.681328
modified: 2026-02-26T11:15:48.210967
access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:22:19.681325
modified: 2026-02-26T11:15:48.210689
access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:22:19.681331
modified: 2026-02-26T11:15:48.211244
access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:22:19.681314
modified: 2026-02-26T11:15:48.209718

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Nitzbon'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:26.959672
modified: 2026-03-23T13:51:02.919013
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.983062

983062_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:03:53.618138
modified: 2026-03-23T13:50:36.382310
access URL: https://apgc.awi.de/dataset/d17facd6-29a1-462c-83e3-bd384b6ee5cd/resource/38b2a212-67a3-4efa-9f2f-b2e192f987bc/download/983062_data.csv
byte size: 9737
media type: text/csv

thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:26.961135
modified: 2026-03-18T15:03:53.608299
access URL: https://doi.pangaea.de/10.1594/PANGAEA.983062

Preview
type: Distribution
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issued: 2026-03-23T13:50:36.400232
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ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Schwamborn'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:27.610398
modified: 2026-03-23T13:52:15.888466
spatial: Location
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.983063

Preview
type: Distribution
format: PNG
issued: 2026-03-23T13:51:30.836308
modified: 2026-03-23T13:51:30.820157
byte size: 278211
media type: image/png

983063_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:03:18.020886
modified: 2026-03-23T13:51:30.819878
access URL: https://apgc.awi.de/dataset/d826b2f8-9de1-45ef-9380-13d936ead1dc/resource/59998718-2ddf-45ec-a54b-7c88fcd68c50/download/983063_data.csv
byte size: 3050
media type: text/csv

thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:27.611986
modified: 2026-03-18T15:03:18.007668
access URL: https://doi.pangaea.de/10.1594/PANGAEA.983063

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 03)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 15.65 pts/m² and 5.96 pts/m², respectively. This dataset covers approximately 12.64 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:35:12.557177
modified: 2026-02-26T11:16:46.969861
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962174

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:35:12.561495
modified: 2026-02-26T11:16:46.986638
access URL: https://download.pangaea.de/dataset/962174/files/NA_TeshekpukLakeNorth_20190723_7cm_03_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:12.561491
modified: 2026-02-26T11:16:46.986508
access URL: https://download.pangaea.de/dataset/962174/files/NA_TeshekpukLakeNorth_20190723_7cm_03_DSM_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:35:12.561483
modified: 2026-02-26T11:16:46.986237

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:35:12.561480
modified: 2026-02-26T11:16:46.986161

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:35:12.561499
modified: 2026-02-26T11:16:46.986780
access URL: https://download.pangaea.de/dataset/962174/files/NA_TeshekpukLakeNorth_20190723_7cm_03_processing_info.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:12.561493
modified: 2026-02-26T11:16:46.986573

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:35:12.561497
modified: 2026-02-26T11:16:46.986702
access URL: https://download.pangaea.de/dataset/962174/files/NA_TeshekpukLakeNorth_20190723_7cm_03_tile_footprints.geojson

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:12.561489
modified: 2026-02-26T11:16:46.986443

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:12.561485
modified: 2026-02-26T11:16:46.986308

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:35:12.561475
modified: 2026-02-26T11:16:46.986049

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:12.561487
modified: 2026-02-26T11:16:46.986376
access URL: https://download.pangaea.de/dataset/962174/files/NA_TeshekpukLakeNorth_20190723_7cm_03_Ortho_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 03)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 12.85 pts/m² and 4.68 pts/m², respectively. This dataset covers approximately 16.94 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:12:10.119382
modified: 2026-02-26T11:16:10.712622
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Lava Field
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962798

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:12:10.124135
modified: 2026-02-26T11:16:10.720219
access URL: https://download.pangaea.de/dataset/962798/files/WA_SPCImuruk_20210710_10cm_03_tile_footprints.geojson

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:12:10.124131
modified: 2026-02-26T11:16:10.720154
access URL: https://download.pangaea.de/dataset/962798/files/WA_SPCImuruk_20210710_10cm_03_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:12:10.124098
modified: 2026-02-26T11:16:10.719565

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:12:10.124111
modified: 2026-02-26T11:16:10.719749

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124128
modified: 2026-02-26T11:16:10.720089

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124118
modified: 2026-02-26T11:16:10.719887
access URL: https://download.pangaea.de/dataset/962798/files/WA_SPCImuruk_20210710_10cm_03_Ortho_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:12:10.124107
modified: 2026-02-26T11:16:10.719672

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124115
modified: 2026-02-26T11:16:10.719819

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:12:10.124138
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access URL: https://download.pangaea.de/dataset/962798/files/WA_SPCImuruk_20210710_10cm_03_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124125
modified: 2026-02-26T11:16:10.720022
access URL: https://download.pangaea.de/dataset/962798/files/WA_SPCImuruk_20210710_10cm_03_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124121
modified: 2026-02-26T11:16:10.719956

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 12.08 pts/m² and 4.26 pts/m², respectively. This dataset covers approximately 17.06 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:11:28.725622
modified: 2026-02-26T11:16:09.191804
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Lava Field
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962797

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:11:28.732051
modified: 2026-02-26T11:16:09.222687
access URL: https://download.pangaea.de/dataset/962797/files/WA_SPCImuruk_20210710_10cm_02_processing_info.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:11:28.732044
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:11:28.732045
modified: 2026-02-26T11:16:09.222365
access URL: https://download.pangaea.de/dataset/962797/files/WA_SPCImuruk_20210710_10cm_02_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:11:28.732041
modified: 2026-02-26T11:16:09.222156

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:11:28.732048
modified: 2026-02-26T11:16:09.222510
access URL: https://download.pangaea.de/dataset/962797/files/WA_SPCImuruk_20210710_10cm_02_PointClouds_tiles.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:11:28.732034
modified: 2026-02-26T11:16:09.221879

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:11:28.732049
modified: 2026-02-26T11:16:09.222574
access URL: https://download.pangaea.de/dataset/962797/files/WA_SPCImuruk_20210710_10cm_02_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:11:28.732042
modified: 2026-02-26T11:16:09.222227
access URL: https://download.pangaea.de/dataset/962797/files/WA_SPCImuruk_20210710_10cm_02_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:11:28.732039
modified: 2026-02-26T11:16:09.222079

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:11:28.732038
modified: 2026-02-26T11:16:09.222002

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:11:28.732046
modified: 2026-02-26T11:16:09.222433

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 02)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.21 pts/m² and 3.17 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:24:05.311247
modified: 2026-02-26T11:16:30.295889
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962837

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:24:05.320383
modified: 2026-02-26T11:16:30.312985
access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_tile_footprints.geojson

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:24:05.320373
modified: 2026-02-26T11:16:30.312499

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:05.320377
modified: 2026-02-26T11:16:30.312713

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:05.320380
modified: 2026-02-26T11:16:30.312849

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:24:05.320371
modified: 2026-02-26T11:16:30.312421

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:24:05.320384
modified: 2026-02-26T11:16:30.313051
access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_processing_info.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:24:05.320381
modified: 2026-02-26T11:16:30.312918
access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:05.320376
modified: 2026-02-26T11:16:30.312643
access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_Ortho_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:05.320374
modified: 2026-02-26T11:16:30.312572

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:24:05.320367
modified: 2026-02-26T11:16:30.312301

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:05.320378
modified: 2026-02-26T11:16:30.312782
access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_DSM_tiles.zip

ALLena: Thaw depth measurements of the active layer in the Lena River Delta region from 1998 to 2022, Northeastern Siberia, detailed table 'Detailed_data_TD_Lashchinskiy'
type: Dataset
description: Active layer thickness (ALT) is one of currently two Essential Climate Variables related directly to permafrost regions as defined by the Global Climate Observing System (GCOS) at the World Meteorological Organization (WMO). ALT is determined as the maximum thaw depth at the end of the thawing season and is being monitored across the Arctic to better understand climate change impacts on landscape, permafrost, hydrology, vegetation, and soil biogeochemistry. In addition, spatially and/or temporally distributed measurements of thaw depth (TD) in the active layer during the thawing period are often recorded during field work in permafrost regions for various research purposes and process understanding. The ALLena dataset presents a compilation of thaw depth (TD) measurements of the active layer in the Lena River Delta region based on published and unpublished field data collected during Russian and joint German-Russian expeditions from 1998 to 2022. The dataset contains data from different areas of the Lena Delta region with clustering in research-intensive areas, e.g. in the vicinity of Research Station Samoylov Island, but also includes sites adjacent to the delta such as Muostakh Island, Bykovsky Peninsula and Tiksi settlement surroundings. The compiled data is distributed across various ecosystems and geomorphological units underlain by different types of deposits and characterized by various relief positions, microtopography, soil and vegetation cover (e.g. active floodplains, polygonal tundra on Holocene Lena Delta terraces, remnants of Yedoma Ice Complex, etc.). TD measurements were conducted as opportunistic single as well as targeted TD transects or grid measurements. For some sites measurements of TD were repeated at the same locations in different years. TD was measured one time per site or several times per site within a few centimeters to several meters to capture small-scale heterogeneity depending on e.g. microcrotopography or vegetation type. The main d…
issued: 2026-03-18T14:32:25.424411
modified: 2026-03-23T11:07:37.314878
spatial: Location
  geometry: POINT (126.4798 72.3774)
version info: 1
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.982982

Preview
type: Distribution
format: PNG
issued: 2026-03-23T10:34:51.067344
modified: 2026-03-23T11:07:37.331662
byte size: 915806
media type: image/png

982982_data.csv
type: Distribution
format: csv-geo-au
issued: 2026-03-18T15:05:21.465260
modified: 2026-03-23T10:34:51.046672
access URL: https://apgc.awi.de/dataset/e9a635dc-e62e-4280-a126-ea96d1d8dc47/resource/b7219ccc-7f0a-4f4f-9ce5-98bf98f1c545/download/982982_data.csv
byte size: 23068
media type: text/csv

thaw depth measurements
type: Distribution
format: TAB
issued: 2026-03-18T14:32:25.427375
modified: 2026-03-18T15:05:21.453761
access URL: https://doi.pangaea.de/10.1594/PANGAEA.982982

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Ketik Fire Scar, Alaska (subset 04)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 35.13 pts/m² and 11.51 pts/m², respectively. This dataset covers approximately 9.60 km² of the Ketik fire scar in Alaska, with all images collected on 27 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:15:57.402277
modified: 2026-02-26T11:16:18.875136
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962279

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:57.406842
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:57.406839
modified: 2026-02-26T11:16:18.887152

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:15:57.406849
modified: 2026-02-26T11:16:18.887652
access URL: https://download.pangaea.de/dataset/962279/files/NA_KetikFire_20190727_7cm_04_processing_info.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:15:57.406838
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T17:15:57.406845
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Preview png of RGB
type: Distribution
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issued: 2026-02-24T17:15:57.406832
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Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:15:57.406836
modified: 2026-02-26T11:16:18.886992

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:15:57.406848
modified: 2026-02-26T11:16:18.887582
access URL: https://download.pangaea.de/dataset/962279/files/NA_KetikFire_20190727_7cm_04_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:57.406841
modified: 2026-02-26T11:16:18.887227
access URL: https://download.pangaea.de/dataset/962279/files/NA_KetikFire_20190727_7cm_04_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:15:57.406847
modified: 2026-02-26T11:16:18.887511
access URL: https://download.pangaea.de/dataset/962279/files/NA_KetikFire_20190727_7cm_04_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:57.406844
modified: 2026-02-26T11:16:18.887371
access URL: https://download.pangaea.de/dataset/962279/files/NA_KetikFire_20190727_7cm_04_DSM_tiles.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Trail Valley Creek, Canada (subset 06)
type: Dataset
description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 13.96 px/m³ and 4.74 px/m³ respectively. This dataset covers approximately 21.40 km² of Trail Valley Creek, Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T13:59:45.927529
modified: 2026-02-26T11:17:14.309931
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Canada
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962006

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939650
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GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939649
modified: 2026-02-26T11:17:14.333608
access URL: https://download.pangaea.de/dataset/962006/files/WC_TrailValleyCreek_20180822_10cm_06_Ortho_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:45.939644
modified: 2026-02-26T11:17:14.333391

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T13:59:45.939654
modified: 2026-02-26T11:17:14.333900
access URL: https://download.pangaea.de/dataset/962006/files/WC_TrailValleyCreek_20180822_10cm_06_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:45.939646
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939652
modified: 2026-02-26T11:17:14.333835

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:45.939640
modified: 2026-02-26T11:17:14.333274

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939647
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:45.939655
modified: 2026-02-26T11:17:14.333970
access URL: https://download.pangaea.de/dataset/962006/files/WC_TrailValleyCreek_20180822_10cm_06_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939651
modified: 2026-02-26T11:17:14.333745
access URL: https://download.pangaea.de/dataset/962006/files/WC_TrailValleyCreek_20180822_10cm_06_DSM_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:45.939656
modified: 2026-02-26T11:17:14.334037
access URL: https://download.pangaea.de/dataset/962006/files/WC_TrailValleyCreek_20180822_10cm_06_processing_info.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Drew Point, Alaska (subset 02)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.15 pts/m² and 3.05 pts/m², respectively. This dataset covers approximately 22.27 km² of Drew Point in Alaska, with all images collected on 30 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:16:32.823064
modified: 2026-02-26T11:15:40.757200
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Coastal Erosion
keyword: Digital Surface Model
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962563

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:16:32.837160
modified: 2026-02-26T11:15:40.766677

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:16:32.837171
modified: 2026-02-26T11:15:40.767174
access URL: https://download.pangaea.de/dataset/962563/files/NA_DrewPoint_20190730_10cm_02_DSM_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:16:32.837168
modified: 2026-02-26T11:15:40.767017
access URL: https://download.pangaea.de/dataset/962563/files/NA_DrewPoint_20190730_10cm_02_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:16:32.837174
modified: 2026-02-26T11:15:40.767321
access URL: https://download.pangaea.de/dataset/962563/files/NA_DrewPoint_20190730_10cm_02_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:16:32.837167
modified: 2026-02-26T11:15:40.766942

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:16:32.837169
modified: 2026-02-26T11:15:40.767091

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:16:32.837165
modified: 2026-02-26T11:15:40.766867

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:16:32.837175
modified: 2026-02-26T11:15:40.767385
access URL: https://download.pangaea.de/dataset/962563/files/NA_DrewPoint_20190730_10cm_02_tile_footprints.geojson

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:16:32.837164
modified: 2026-02-26T11:15:40.766787

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:16:32.837172
modified: 2026-02-26T11:15:40.767257

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:16:32.837176
modified: 2026-02-26T11:15:40.767448
access URL: https://download.pangaea.de/dataset/962563/files/NA_DrewPoint_20190730_10cm_02_processing_info.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Anaktuvuk River Fire Scar (subset 01)
type: Dataset
description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 24.86 pts/m² and 8.60 pts/m², respectively. This dataset covers approximately 5.81 km² of the Anaktuvuk River fire scar in Alaska, with all images collected on 22 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T16:23:00.863189
modified: 2026-02-26T11:15:49.992377
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Ice-Wedge Polygons
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Tundra
landing page: https://doi.org/10.1594/PANGAEA.962091

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:23:00.867873
modified: 2026-02-26T11:15:50.066084
access URL: https://download.pangaea.de/dataset/962091/files/NA_AnaktuvukRiverFire_20190722_7cm_01_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:23:00.867868
modified: 2026-02-26T11:15:50.065941

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:23:00.867859
modified: 2026-02-26T11:15:50.065715

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:23:00.867875
modified: 2026-02-26T11:15:50.066173

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:23:00.867880
modified: 2026-02-26T11:15:50.068086

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:23:00.867865
modified: 2026-02-26T11:15:50.065861

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:23:00.867877
modified: 2026-02-26T11:15:50.066246
access URL: https://download.pangaea.de/dataset/962091/files/NA_AnaktuvukRiverFire_20190722_7cm_01_DSM_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T16:23:00.867882
modified: 2026-02-26T11:15:50.068272
access URL: https://download.pangaea.de/dataset/962091/files/NA_AnaktuvukRiverFire_20190722_7cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:23:00.867870
modified: 2026-02-26T11:15:50.066014

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:23:00.867885
modified: 2026-02-26T11:15:50.068358
access URL: https://download.pangaea.de/dataset/962091/files/NA_AnaktuvukRiverFire_20190722_7cm_01_tile_footprints.geojson

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:23:00.867887
modified: 2026-02-26T11:15:50.068438
access URL: https://download.pangaea.de/dataset/962091/files/NA_AnaktuvukRiverFire_20190722_7cm_01_processing_info.zip

Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 01)
type: Dataset
description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.77 pts/m² and 3.56 pts/m², respectively. This dataset covers approximately 17.18 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
issued: 2026-02-24T17:10:27.426045
modified: 2026-02-26T11:16:07.862063
spatial: Location
version info: 1
contact point: Organization
  fn: Tabea Rettelbach
keyword: Airborne Data
keyword: Alaska
keyword: Arctic Landscape Dynamics
keyword: Digital Surface Model
keyword: Lava Field
keyword: Macs
keyword: Orthoimagery
keyword: Permafrost
keyword: Point Clouds
keyword: Seward Peninsula
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962793

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:10:27.431320
modified: 2026-02-26T11:16:07.874175

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431332
modified: 2026-02-26T11:16:07.874878

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:10:27.431334
modified: 2026-02-26T11:16:07.875009
access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_tile_footprints.geojson

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431329
modified: 2026-02-26T11:16:07.874728

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:10:27.431324
modified: 2026-02-26T11:16:07.874404

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:10:27.431333
modified: 2026-02-26T11:16:07.874944
access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_PointClouds_tiles.zip

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:10:27.431336
modified: 2026-02-26T11:16:07.875074
access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_processing_info.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:10:27.431325
modified: 2026-02-26T11:16:07.874517

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431328
modified: 2026-02-26T11:16:07.874659
access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431330
modified: 2026-02-26T11:16:07.874813
access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431327
modified: 2026-02-26T11:16:07.874589

zenodo
type: Agent

NSF Arctic Data Center
type: Agent

PANGAEA
type: Agent