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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:38:37.766982
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:39:18.880734
modified: 2026-02-26T11:16:54.187423
access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_DSM_tiles.zip

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:34:30.063359
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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

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

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: 2026-02-24T16:16:32.837165
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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

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

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.881225
modified: 2026-02-26T11:17:02.424442
access URL: https://download.pangaea.de/dataset/962733/files/WA_NoatakValleyS_20210702_20cm_01_DSM_tiles.zip

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

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

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:27:33.278361
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Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:31:02.611638
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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

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

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:10:27.431320
modified: 2026-02-26T11:16:07.874175

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: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962840

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:53.703065
modified: 2026-02-26T11:16:47.955004
access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:55:37.166601
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:31:02.611641
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Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:48.465774
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Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:21:18.906640
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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

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 Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556292
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431332
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:04.455734
modified: 2026-02-26T11:17:00.124503
access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_DSM_tiles.zip

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:19:16.889188
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:14:15.670891
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Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:40.447414
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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_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

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

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

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

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:29:50.531776
modified: 2026-02-26T11:16:01.061590
access URL: https://download.pangaea.de/dataset/962642/files/WA_BucklandFireScar_20210627_7cm_05_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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:25:03.811494
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COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2018-2023_level1.gpkg
type: Distribution
format: GPKG
issued: 2026-02-27T15:10:17.449068
modified: 2026-02-27T15:18:19.284679
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A2f5860db-bd10-4542-a65b-e225fdfa8da4

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:20:18.065989
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thumbnail.png
type: Distribution
format: PNG
issued: 2016-08-04T09:47:29.814780
modified: 2021-11-01T11:08:41.723062

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

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:44:04.455739
modified: 2026-02-26T11:17:00.124644
access URL: https://download.pangaea.de/dataset/962668/files/WA_BPSouth_20210628_20cm_02_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:12:11.724680
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:17:20.358299
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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

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 RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:41:21.113616
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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 DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:30:51.511930
modified: 2026-02-26T11:16:02.400898

COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2018-2023_union.parquet
type: Distribution
format: PARQUET
issued: 2026-03-02T09:27:36.242936
modified: 2026-03-02T09:28:43.312433
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ad82605ee-15b9-494f-acbf-086a7d49cb15

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:29:50.531750
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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 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

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

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

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: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Seward Peninsula
keyword: Macs
keyword: Dtlb
landing page: https://doi.org/10.1594/PANGAEA.962776

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

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

Metadata: DARTS_Multi_year_database_of_AI_detected_retrogre.xml
type: Distribution
format: XML
issued: 2024-10-24T11:01:10.574801
modified: 2024-10-24T11:03:06.360518
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/doi%3A10.18739%2FA2RR1PP44

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567054
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DARTS_NitzeEtAl_v1_features_2018_2023_level1.parquet
type: Distribution
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

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

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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475017
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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

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

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

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:41:21.113623
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:19:30.081721
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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

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:53.211415
modified: 2026-02-26T11:16:13.534703
access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:26:31.693982
modified: 2026-02-26T11:16:33.848078

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:29:09.774950
modified: 2026-02-26T11:15:59.661531
access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_processing_info.zip

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

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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556295
modified: 2026-02-26T11:16:27.793218

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: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Alaska
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
landing page: https://doi.org/10.1594/PANGAEA.962222

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

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

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

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

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

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

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

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 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: Digital Surface Model
keyword: Coastal Erosion
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Baldwin Peninsula
keyword: MACS
keyword: Airborne Data
keyword: Alaska
keyword: Structure-from-Motion
landing page: https://doi.org/10.1594/PANGAEA.962616

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

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: Alaska
keyword: Macs
keyword: Dtlb
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
landing page: https://doi.org/10.1594/PANGAEA.962784

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556296
modified: 2026-02-26T11:16:27.793285
access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_DSM_tiles.zip

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
media type: text/csv

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: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962721

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:26:31.693985
modified: 2026-02-26T11:16:33.848233
access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_Ortho_tiles.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 Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599214
modified: 2026-02-26T11:16:59.041245

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

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

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: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Lake
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962228

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T10:59:53.396523
modified: 2026-02-26T11:17:21.015110

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

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: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Lake
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962172

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:44:04.455702
modified: 2026-02-26T11:17:00.124117

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

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124115
modified: 2026-02-26T11:16:10.719819

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:46:27.926862
modified: 2026-02-26T11:17:05.098644
access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:13:34.621316
modified: 2026-02-26T11:16:14.945022
access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:53.703053
modified: 2026-02-26T11:16:47.954805

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: 2026-02-24T17:35:53.703074
modified: 2026-02-26T11:16:47.955136
access URL: https://download.pangaea.de/dataset/962181/files/NA_TeshekpukLakeNorth_20190723_7cm_04_PointClouds_tiles.zip

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

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

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

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

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.194300
modified: 2026-02-26T11:17:01.032870

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

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

FEATURES: DARTS_NitzeEtAl_v1-2_features_2018-2023_level1.parquet
type: Distribution
format: PARQUET
issued: 2026-03-02T09:16:14.523863
modified: 2026-03-02T09:17:22.794711
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Abc7b1bda-0cc6-4e36-9cb0-ebfefc1204de

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: 2026-02-24T17:13:34.621313
modified: 2026-02-26T11:16:14.944884
access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_Ortho_tiles.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

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

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: Macs
keyword: Canada
keyword: Digital Surface Model
keyword: Coastal Erosion
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962042

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

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:32:33.463194
modified: 2026-02-26T11:16:04.112996

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

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: 2026-02-24T17:29:18.484428
modified: 2026-02-26T11:16:37.532886

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

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

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

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556293
modified: 2026-02-26T11:16:27.793138
access URL: https://download.pangaea.de/dataset/962792/files/WA_KobukDelta_20210710_20cm_02_Ortho_tiles.zip

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: 2026-02-24T17:24:05.320376
modified: 2026-02-26T11:16:30.312643
access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_Ortho_tiles.zip

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

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: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962837

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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962320

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

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

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

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 Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:21:20.133890
modified: 2026-02-26T11:16:26.490112

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 CIR
type: Distribution
format: PNG
issued: 2026-02-24T13:59:39.069244
modified: 2026-02-26T11:17:07.472679

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

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

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

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

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

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

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

COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2021-2023_intersect.gpkg
type: Distribution
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

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: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Tundra
landing page: https://doi.org/10.1594/PANGAEA.962132

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

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

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

STYLE: DARTS_NitzeEtAl_v1-2_features_2018-2023_layerstyle.sld
type: Distribution
format: SLD
issued: 2026-03-02T09:17:22.909629
modified: 2026-03-02T09:18:00.993075
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ac84898f2-b377-4285-969a-9077d2bfee0a

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

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

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: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Fire Scar
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
landing page: https://doi.org/10.1594/PANGAEA.962637

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:31:02.611639
modified: 2026-02-26T11:16:39.386199

FEATURES: Metadata: DARTS_NitzeEtAl_v1-2_features_2018-2023_level2_description.csv
type: Distribution
format: CSV
issued: 2026-03-02T09:28:43.382670
modified: 2026-03-02T09:29:19.692810
checksum: Checksum
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Aa0a9ee4c-821b-4122-ba28-147d254247be

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

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

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:46:27.926817
modified: 2026-02-26T11:17:05.097377

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T10:59:53.396528
modified: 2026-02-26T11:17:21.015432
access URL: https://download.pangaea.de/dataset/962616/files/WA_CapeBlossom_20210625_7cm_01_processing_info.zip

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

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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962312

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:25:03.811507
modified: 2026-02-26T11:15:52.674716

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

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

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

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 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: Macs
keyword: Canada
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
landing page: https://doi.org/10.1594/PANGAEA.962004

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:15:57.406836
modified: 2026-02-26T11:16:18.886992

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

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

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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:10.124121
modified: 2026-02-26T11:16:10.719956

DARTS_NitzeEtAl_v1_coverage_2018_2023_level1.parquet
type: Distribution
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

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

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

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

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: 2026-02-24T13:59:39.069256
modified: 2026-02-26T11:17:07.473345
access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_processing_info.zip

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

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

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: Point Clouds
keyword: Baldwin Peninsula
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962663

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:22:01.556291
modified: 2026-02-26T11:16:27.792839

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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
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GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
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access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_DSM_tiles.zip

Preview png of RGB
type: Distribution
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issued: 2026-02-24T17:22:01.556285
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Processing info
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format: ZIP
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access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_processing_info.zip

Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
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Tile footprints geojson
type: Distribution
format: GeoJSON
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modified: 2026-02-26T11:16:35.534725
access URL: https://download.pangaea.de/dataset/962784/files/WA_SPNorthKitlukCoast_20210709_10cm_01_tile_footprints.geojson

Preview png of CIR
type: Distribution
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Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:26:46.665916
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access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_processing_info.zip

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: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Orthoimagery
keyword: Seward Peninsula
keyword: Macs
landing page: https://doi.org/10.1594/PANGAEA.962838

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: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962539

GeoTiffs all tiles and virtual mosaic Ortho
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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

Cloud-optimized GeoTIFF of Ortho
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GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
issued: 2026-02-24T17:17:20.358311
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access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_DSM_tiles.zip

Tile footprints geojson
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format: GeoJSON
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access URL: https://download.pangaea.de/dataset/962317/files/NA_KetikFire_20190727_7cm_07_tile_footprints.geojson

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822205
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access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_Ortho_tiles.zip

PANGAEA
type: Agent

2004.zip
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format: NetCDF
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access URL: https://zenodo.org/records/13361744/files/2004.zip

Preview png of RGB
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Preview png of RGB
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Preview png of DSM
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Cloud-optimized GeoTIFF of hillshade
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Processing info
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Cloud-optimized GeoTIFF of Ortho
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Cloud-optimized GeoTIFF of Ortho
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GeoTiffs all tiles and virtual mosaic Ortho
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PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/961944/files/WC_TrailValleyCreek_20180822_10cm_02_PointClouds_tiles.zip

2017.zip
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Cloud-optimized GeoTIFF of Ortho
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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: Point Clouds
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962579

photographs of Ice-Rich Yedoma permafrost sites
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description: https://doi.pangaea.de/10.1594/PANGAEA.861395
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Preview png of CIR
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Processing info
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Preview png of DSM
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Cloud-optimized GeoTIFF of Ortho
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Preview png of CIR
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1989.zip
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Cloud-optimized GeoTIFF of DSM
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Preview png of CIR
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Processing info
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access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_processing_info.zip

PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_PointClouds_tiles.zip

PointClouds all tiles NIR and RGB
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Cloud-optimized GeoTIFF of Ortho
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1992.zip
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Tile footprints geojson
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Cloud-optimized GeoTIFF of Ortho
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Preview
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Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_tile_footprints.geojson

Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962544/files/NA_NorthSlopeCentral_20190729_10cm_04_tile_footprints.geojson

COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2018-2023_union.gpkg
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1996.zip
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2011.zip
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access URL: https://zenodo.org/records/13361744/files/2011.zip

Processing info
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access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_processing_info.zip

983064_data.csv
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Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962563/files/NA_DrewPoint_20190730_10cm_02_tile_footprints.geojson

Cloud-optimized GeoTIFF of DSM
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Preview png of DSM
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Preview png of CIR
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Preview png of DSM
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Cloud-optimized GeoTIFF of DSM
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Preview png of CIR
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PointClouds all tiles NIR and RGB
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issued: 2026-02-24T17:32:04.822211
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access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_PointClouds_tiles.zip

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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962271

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

Cloud-optimized GeoTIFF of hillshade
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Processing info
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access URL: https://download.pangaea.de/dataset/962638/files/WA_BucklandFireScar_20210627_7cm_03_processing_info.zip

Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
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Cloud-optimized GeoTIFF of DSM
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Processing info
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access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:18:15.475018
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access URL: https://download.pangaea.de/dataset/962581/files/NA_DrewPoint_20190730_10cm_05_DSM_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: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Baldwin Peninsula
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Coastal Erosion
landing page: https://doi.org/10.1594/PANGAEA.962792

Cloud-optimized GeoTIFF of Ortho
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format: Geotiff
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1982.zip
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Cloud-optimized GeoTIFF of hillshade
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Cloud-optimized GeoTIFF of DSM
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Preview png of CIR
type: Distribution
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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: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Fire Scar
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962317

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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_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…
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spatial: Location
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  fn: Veremeeva, Alexandra
keyword: Active Layer Thickness
keyword: Thaw depth
landing page: https://doi.org/10.1594/PANGAEA.982977

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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…
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landing page: https://doi.org/10.1594/PANGAEA.983063

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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

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

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T13:59:39.069255
modified: 2026-02-26T11:17:07.473275
access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_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

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

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: 2026-02-24T16:17:34.670179
modified: 2026-02-26T11:15:43.111623

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

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: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Canada
landing page: https://doi.org/10.1594/PANGAEA.962045

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:32:04.822201
modified: 2026-02-26T11:16:40.530130

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

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:39:18.880740
modified: 2026-02-26T11:16:54.188018
access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_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_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

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

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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.881223
modified: 2026-02-26T11:17:02.424378

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

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939647
modified: 2026-02-26T11:17:14.333538

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: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Lake
landing page: https://doi.org/10.1594/PANGAEA.962196

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

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

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 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

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:19:16.889193
modified: 2026-02-26T11:15:45.059760
access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_Ortho_tiles.zip

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

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

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:13:34.621321
modified: 2026-02-26T11:16:14.945224
access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_tile_footprints.geojson

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

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

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

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: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
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: 2026-02-24T17:10:27.431330
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 hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T15:44:47.906896
modified: 2026-02-26T11:17:18.575011

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

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: 2026-02-24T17:11:28.732038
modified: 2026-02-26T11:16:09.222002

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:23:00.867865
modified: 2026-02-26T11:15:50.065861

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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T10:59:53.396520
modified: 2026-02-26T11:17:21.014891

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

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
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 DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:46.809641
modified: 2026-02-26T11:16:41.815599

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 png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:16:38.404041
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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

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

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:21:18.906645
modified: 2026-02-26T11:15:47.014923
access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_Ortho_tiles.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

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

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: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Tundra
keyword: Ice-Wedge Polygons
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962134

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

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

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: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962541

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:19:16.889190
modified: 2026-02-26T11:15:45.059618

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:16:32.837172
modified: 2026-02-26T11:15:40.767257

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:40.447412
modified: 2026-02-26T11:17:08.288895

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

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: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Fire Scar
keyword: Orthoimagery
keyword: Tundra
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962091

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

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:39:18.880730
modified: 2026-02-26T11:16:54.187002

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

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
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 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: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Canada
landing page: https://doi.org/10.1594/PANGAEA.962006

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194308
modified: 2026-02-26T11:17:01.033256
access URL: https://download.pangaea.de/dataset/962674/files/WA_BPSouth_20210628_20cm_03_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
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

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: 2026-02-24T17:12:10.124131
modified: 2026-02-26T11:16:10.720154
access URL: https://download.pangaea.de/dataset/962798/files/WA_SPCImuruk_20210710_10cm_03_PointClouds_tiles.zip

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:10:27.431329
modified: 2026-02-26T11:16:07.874728

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 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 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: 2026-02-24T17:17:20.358317
modified: 2026-02-26T11:16:21.499125
access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_processing_info.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:42:22.482129
modified: 2026-02-26T11:16:57.839313
access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_Ortho_tiles.zip

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:30:51.511934
modified: 2026-02-26T11:16:02.401054
access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_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: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Baldwin Peninsula
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962674

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:22:01.556297
modified: 2026-02-26T11:16:27.793350

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:35:53.703048
modified: 2026-02-26T11:16:47.954736

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

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

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

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

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: Teshekpuk Lake
keyword: Point Clouds
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Lake
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
landing page: https://doi.org/10.1594/PANGAEA.962174

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
byte size: 191753
media type: text/csv

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:20:18.757909
modified: 2026-02-26T11:16:25.538542

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:25:45.133882
modified: 2026-02-26T11:15:53.733206

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

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: Structure-From-Motion
keyword: Alaska
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Baldwin Peninsula
landing page: https://doi.org/10.1594/PANGAEA.962668

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

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: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962724

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

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

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:13:34.621323
modified: 2026-02-26T11:16:14.945291
access URL: https://download.pangaea.de/dataset/962271/files/NA_KetikFire_20190727_7cm_01_processing_info.zip

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:04.455708
modified: 2026-02-26T11:17:00.124271

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

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: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962725

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:57.406845
modified: 2026-02-26T11:16:18.887441

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

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

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

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: Late Pleistocene
keyword: Yedoma
keyword: Climate feedback
keyword: Permafrost
keyword: Greenhouse gas source
keyword: Thermokarst
landing page: https://doi.pangaea.de/10.1594/PANGAEA.940078

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:53.703070
modified: 2026-02-26T11:16:47.955067

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T13:59:45.939646
modified: 2026-02-26T11:17:14.333467

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:13:30.041339
modified: 2026-02-26T11:15:37.834286

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

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

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

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

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

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:13:34.621308
modified: 2026-02-26T11:16:14.944662

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

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

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

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
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

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: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Alaska
keyword: Fire Scar
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962536

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

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

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

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

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

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

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:19:16.889196
modified: 2026-02-26T11:15:45.059895
access URL: https://download.pangaea.de/dataset/962776/files/WA_SPNorthDTLBWest_20210709_10cm_01_DSM_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: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Macs
keyword: Point Clouds
keyword: Baldwin Peninsula
landing page: https://doi.org/10.1594/PANGAEA.962594

Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:44:45.881226
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issued: 2026-02-24T13:59:44.612924
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
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

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: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Macs
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962559

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:39:18.880723
modified: 2026-02-26T11:16:54.186211

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: Seward Peninsula
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Lava Field
keyword: Alaska
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962798

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:25:03.811479
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T13:59:43.121287
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Cloud-optimized GeoTIFF of DSM
type: Distribution
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issued: 2026-02-24T17:40:20.084575
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T16:27:28.225418
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Preview png of CIR
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issued: 2026-02-24T16:26:46.665903
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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

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: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Dtlb
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Macs
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962777

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572899
modified: 2026-02-26T11:15:51.088030

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: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Fire Scar
landing page: https://doi.org/10.1594/PANGAEA.962275

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:21:18.906642
modified: 2026-02-26T11:15:47.014776

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

Cloud-optimized GeoTIFF of hillshade
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format: Geotiff
issued: 2026-02-24T17:28:34.742746
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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

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:27.613122
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:30:51.511939
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:47:29.653850
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access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_DSM_tiles.zip

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:12:11.724687
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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

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: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
landing page: https://doi.org/10.1594/PANGAEA.962737

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:36:55.220552
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FEATURES: Metadata: DARTS_NitzeEtAl_v1-2_features_2018-2023_level2_description.xlsx
type: Distribution
format: XLSX
issued: 2026-03-02T09:26:43.727352
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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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Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T16:24:02.572894
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Preview png of RGB
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issued: 2026-02-24T16:31:32.530393
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issued: 2026-02-24T16:28:08.997304
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Preview png of CIR
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issued: 2026-02-24T17:15:16.567050
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GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
issued: 2026-02-24T16:14:31.121135
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access URL: https://download.pangaea.de/dataset/962045/files/NA_CapeSimpson_20190719_7cm_05_DSM_tiles.zip

Preview png of DSM
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issued: 2026-02-24T16:31:32.530403
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Preview png of RGB
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issued: 2026-02-24T17:10:25.719725
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Preview png of CIR
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issued: 2026-02-24T17:44:45.194304
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Preview png of DSM
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issued: 2026-02-24T16:32:33.463199
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Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T16:27:27.613119
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Processing info
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format: ZIP
issued: 2026-02-24T17:24:05.320384
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access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_processing_info.zip

Preview png of DSM
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issued: 2026-02-24T13:55:37.166589
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DARTS_NitzeEtAl_v1_coverage_2018_2023_union.gpkg
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description: Maximum coverage of the dataset with at least one coverage between 2018-2023
format: GPKG
issued: 2024-10-24T11:01:10.574835
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5581f58d-6566-419d-b3b8-b4262868fe5a

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Tile footprints geojson
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issued: 2026-02-24T17:24:05.320383
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access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_tile_footprints.geojson

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: Point Clouds
keyword: Alaska
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962736

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:29:09.774943
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:15:16.567058
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access URL: https://download.pangaea.de/dataset/962278/files/NA_KetikFire_20190727_7cm_03_DSM_tiles.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

Preview png of CIR
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issued: 2026-02-24T16:17:33.686820
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access URL: https://download.pangaea.de/dataset/962091/files/NA_AnaktuvukRiverFire_20190722_7cm_01_Ortho_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:53.703061
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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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962321

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

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: Land Surface Temperature
keyword: Earth observation
keyword: Satellite imagery
keyword: AVHRR
landing page: https://doi.org/10.5281/zenodo.13361744

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:12:10.124098
modified: 2026-02-26T11:16:10.719565

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T16:25:45.133895
modified: 2026-02-26T11:15:53.734348
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: 2026-02-24T17:12:53.211421
modified: 2026-02-26T11:16:13.534963
access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_PointClouds_tiles.zip

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

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 DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:29:09.774939
modified: 2026-02-26T11:15:59.660976

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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: 2026-02-24T16:23:00.867859
modified: 2026-02-26T11:15:50.065715

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: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Macs
keyword: Canada
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
landing page: https://doi.org/10.1594/PANGAEA.961944

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

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

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

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:22:19.681314
modified: 2026-02-26T11:15:48.209718

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

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:24:05.320371
modified: 2026-02-26T11:16:30.312421

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 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

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: 2026-02-24T17:23:03.112531
modified: 2026-02-26T11:16:28.847691

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: Point Clouds
keyword: Fire Scar
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962644

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

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type: Distribution
format: PNG
issued: 2026-02-24T17:35:12.561483
modified: 2026-02-26T11:16:46.986237

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:44:45.194309
modified: 2026-02-26T11:17:01.033336

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:28:08.997298
modified: 2026-02-26T11:15:58.872110

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

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: 2026-02-24T13:55:37.166581
modified: 2026-02-26T11:17:19.821076

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

GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:39.069248
modified: 2026-02-26T11:17:07.472910
access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_Ortho_tiles.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: Seward Peninsula
keyword: Macs
keyword: Dtlb
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Alaska
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962787

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: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Lava Field
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Seward Peninsula
keyword: Macs
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962797

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

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

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 DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:25:28.996583
modified: 2026-02-26T11:16:32.690341

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

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

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: 2026-02-24T17:43:23.599222
modified: 2026-02-26T11:16:59.041639
access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_tile_footprints.geojson

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

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: Structure-From-Motion
keyword: Airborne Data
keyword: Macs
keyword: Canada
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.961941

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

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type: Distribution
format: PNG
issued: 2026-02-24T15:44:47.906887
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type: Distribution
format: PNG
issued: 2026-02-24T10:59:53.396505
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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

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

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

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format: Geotiff
issued: 2026-02-24T17:25:28.996584
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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

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

Preview
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format: PNG
issued: 2026-03-23T13:48:27.116144
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byte size: 915386
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type: Distribution
format: PNG
issued: 2026-02-24T16:31:32.530400
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issued: 2026-02-24T17:47:29.653846
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issued: 2026-02-24T17:26:31.693986
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type: Distribution
format: PNG
issued: 2026-02-24T17:24:47.277891
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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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:20:18.757915
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type: Distribution
format: Geotiff
issued: 2026-02-24T16:19:16.889197
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type: Distribution
format: PNG
issued: 2026-02-24T17:10:24.808337
modified: 2026-02-26T11:16:05.360993

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:15:57.406849
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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: 2026-02-24T17:10:24.808342
modified: 2026-02-26T11:16:05.361189

FEATURES: DARTS_NitzeEtAl_v1-2_features_2018-2023_level2.parquet
type: Distribution
format: PARQUET
issued: 2026-03-02T09:22:18.328303
modified: 2026-03-02T09:26:43.665253
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A4c986f87-daf5-40dd-99b1-eb79bc6a8536

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

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: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Fire Scar
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962297

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

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

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: Alaska
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962544

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:47.310398
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T16:23:00.867880
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Preview png of RGB
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issued: 2026-02-24T17:40:20.084565
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Preview png of CIR
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issued: 2026-02-24T17:29:18.484427
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Preview png of RGB
type: Distribution
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issued: 2026-02-24T13:59:47.310380
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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

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

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: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
keyword: Lava Field
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962800

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

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: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Alaska
keyword: Orthoimagery
keyword: Seward Peninsula
keyword: Macs
keyword: Dtlb
landing page: https://doi.org/10.1594/PANGAEA.962788

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

Cloud-optimized GeoTIFF of hillshade
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Cloud-optimized GeoTIFF of DSM
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Preview png of CIR
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DARTS_NitzeEtAl_v1_coverage_2021_2023_intersect.parquet
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format: PARQUET
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Tile footprints geojson
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GeoTiffs all tiles and virtual mosaic DSM
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access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_DSM_tiles.zip

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Cloud-optimized GeoTIFF of Ortho
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Cloud-optimized GeoTIFF of DSM
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Cloud-optimized GeoTIFF of Ortho
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GeoTiffs all tiles and virtual mosaic Ortho
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access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_Ortho_tiles.zip

Processing info
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access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_processing_info.zip

Preview png of DSM
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Tile footprints geojson
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PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_PointClouds_tiles.zip

DARTS_NitzeEtAl_v1_features_2018_2023_layerstyle.sld
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Tile footprints geojson
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Cloud-optimized GeoTIFF of hillshade
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GeoTiffs all tiles and virtual mosaic Ortho
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Cloud-optimized GeoTIFF of DSM
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access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_Ortho_tiles.zip

982976_data.csv
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Preview png of RGB
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Preview png of DSM
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Cloud-optimized GeoTIFF of hillshade
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Preview png of CIR
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GeoTiffs all tiles and virtual mosaic DSM
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Preview png of RGB
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issued: 2026-02-24T16:17:34.670150
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IRYP v2 FileGDB
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Preview png of RGB
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issued: 2026-02-24T17:35:53.703033
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Processing info
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access URL: https://download.pangaea.de/dataset/962559/files/NA_DrewPoint_20190730_10cm_01_processing_info.zip

Processing info
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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

Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_tile_footprints.geojson

Preview png of CIR
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issued: 2026-02-24T13:59:40.447410
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Cloud-optimized GeoTIFF of DSM
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T17:37:56.411381
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Processing info
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access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_processing_info.zip

2016.zip
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format: NetCDF
issued: 2026-03-06T10:27:15.611102
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access URL: https://zenodo.org/records/13361744/files/2016.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: Ice-Wedge Polygons
keyword: Teshekpuk Lake
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Lake
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962136

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

Preview png of DSM
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Preview png of DSM
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Cloud-optimized GeoTIFF of DSM
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PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962222/files/NA_TeshekpukLakeNorth_20190723_7cm_07_PointClouds_tiles.zip

STYLE: DARTS_NitzeEtAl_v1-2_features_2018-2023_layerstyle.qml
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A113c0d74-c095-4a7f-b4af-f53af2a8153a

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access URL: https://download.pangaea.de/dataset/962777/files/WA_SPNorthDTLBWest_20210709_10cm_02_Ortho_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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Processing info
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access URL: https://download.pangaea.de/dataset/962172/files/NA_TeshekpukLakeNorth_20190723_7cm_02_processing_info.zip

1997.zip
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access URL: https://zenodo.org/records/13361744/files/1997.zip

PointClouds all tiles NIR and RGB
type: Distribution
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access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of DSM
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Cloud-optimized GeoTIFF of hillshade
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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_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

Cloud-optimized GeoTIFF of hillshade
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format: Geotiff
issued: 2026-02-24T17:13:34.621318
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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

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

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

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

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

Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T17:24:47.277895
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Preview
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issued: 2024-10-24T11:03:06.427524
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byte size: 543164
media type: image/png

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:13:34.621315
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GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:26:31.693988
modified: 2026-02-26T11:16:33.848382
access URL: https://download.pangaea.de/dataset/962840/files/WA_SPCKougarok01_20210710_10cm_05_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T17:19:30.081734
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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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:29:50.531756
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GeoTiffs all tiles and virtual mosaic Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:22:19.681322
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access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_Ortho_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:41:21.113622
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GeoTiffs all tiles and virtual mosaic DSM
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issued: 2026-02-24T17:12:11.724685
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access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_DSM_tiles.zip

Preview png of RGB
type: Distribution
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issued: 2026-02-24T17:38:37.766972
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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: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Lake
keyword: Teshekpuk Lake
landing page: https://doi.org/10.1594/PANGAEA.962225

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

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: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
keyword: Lava Field
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
landing page: https://doi.org/10.1594/PANGAEA.962793

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 Ortho
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issued: 2026-02-24T17:44:45.881221
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Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T16:27:28.225415
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:14:15.670866
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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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Tundra
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962128

Preview png of DSM
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issued: 2026-02-24T16:22:19.681319
modified: 2026-02-26T11:15:48.210113

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T17:15:57.406839
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Preview png of RGB
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issued: 2026-02-24T17:20:18.757903
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Preview png of CIR
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issued: 2026-02-24T17:25:28.996581
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Preview png of CIR
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issued: 2026-02-24T17:38:37.766976
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Preview
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issued: 2026-03-23T13:47:34.758277
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byte size: 310997
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Preview png of CIR
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issued: 2026-02-24T16:25:03.811489
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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

Preview
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issued: 2022-01-25T11:49:17.349557
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GeoTiffs all tiles and virtual mosaic DSM
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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

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T17:24:05.320374
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Preview png of CIR
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issued: 2026-02-24T17:27:33.278359
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Processing info
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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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:18:24.499718
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Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:19:30.081738
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access URL: https://download.pangaea.de/dataset/962320/files/NA_KetikFire_20190727_7cm_08_processing_info.zip

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: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962543

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
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issued: 2026-02-24T15:44:47.906891
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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

Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:35:12.561493
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Preview png of CIR
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issued: 2026-02-24T17:35:12.561480
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GeoTiffs all tiles and virtual mosaic Ortho
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format: Geotiff
issued: 2026-02-24T17:17:20.358308
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access URL: https://download.pangaea.de/dataset/962312/files/NA_KetikFire_20190727_7cm_06_Ortho_tiles.zip

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

Preview png of CIR
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issued: 2026-02-24T17:30:20.875777
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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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:32:46.809637
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PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
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 DSM
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issued: 2026-02-24T17:15:16.567052
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T17:35:11.333787
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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

Preview png of CIR
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Preview png of CIR
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issued: 2026-02-24T17:43:23.599211
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Preview png of DSM
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issued: 2026-02-24T17:37:56.411377
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Preview png of CIR
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issued: 2026-02-24T17:10:25.719728
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Tile footprints geojson
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format: GeoJSON
issued: 2026-02-24T17:16:38.404055
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access URL: https://download.pangaea.de/dataset/962297/files/NA_KetikFire_20190727_7cm_05_tile_footprints.geojson

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

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

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: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962805

Cloud-optimized GeoTIFF of DSM
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format: Geotiff
issued: 2026-02-24T17:24:05.320377
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Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T13:59:47.310426
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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: 2026-02-24T17:10:27.431333
modified: 2026-02-26T11:16:07.874944
access URL: https://download.pangaea.de/dataset/962793/files/WA_SPCImuruk_20210710_10cm_01_PointClouds_tiles.zip

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

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:29:09.774949
modified: 2026-02-26T11:15:59.661467
access URL: https://download.pangaea.de/dataset/962640/files/WA_BucklandFireScar_20210627_7cm_04_tile_footprints.geojson

Cloud-optimized GeoTIFF of hillshade
type: Distribution
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issued: 2026-02-24T17:15:16.567059
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:43:23.599219
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Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T16:24:02.572902
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access URL: https://download.pangaea.de/dataset/962118/files/NA_AnaktuvukRiverFire_20190722_7cm_02_tile_footprints.geojson

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: Canada
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962010

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: Orthoimagery
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Fire Scar
landing page: https://doi.org/10.1594/PANGAEA.962635

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

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

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: Fire Scar
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962640

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:28:34.742739
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T16:29:50.531765
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1991.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:16:59.998335
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access URL: https://zenodo.org/records/13361744/files/1991.zip

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

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

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

GeoTiffs all tiles and virtual mosaic Ortho
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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
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issued: 2026-03-23T10:34:51.067344
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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

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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

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

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

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

Cloud-optimized GeoTIFF of Ortho
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issued: 2026-02-24T17:27:33.278362
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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

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: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962580

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

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

Preview png of RGB
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issued: 2026-02-24T17:23:03.112525
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T17:10:24.808349
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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

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:30:20.875790
modified: 2026-02-26T11:16:38.424289
access URL: https://download.pangaea.de/dataset/962789/files/WA_SPNorthKitlukCoast_20210709_10cm_04_processing_info.zip

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T16:24:02.572893
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Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:25:28.996590
modified: 2026-02-26T11:16:32.690728

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

Tile footprints geojson
type: Distribution
format: GeoJSON
issued: 2026-02-24T17:25:28.996592
modified: 2026-02-26T11:16:32.690861
access URL: https://download.pangaea.de/dataset/962839/files/WA_SPCKougarok01_20210710_10cm_04_tile_footprints.geojson

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

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

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

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:16:38.404051
modified: 2026-02-26T11:16:20.022815

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: Active Layer Detachment Slides
keyword: RTS
keyword: Permafrost
keyword: Retrogressive Thaw Slumps
keyword: Artificial Intelligence
keyword: Erosion
keyword: Thermokarst
keyword: Cryosphere
keyword: Remote Sensing
keyword: Deep learning
keyword: Arctic
keyword: ALD
keyword: Landslides
landing page: https://doi.org/10.18739/A2RR1PP44

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

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: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Coastal Erosion
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962581

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

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

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

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: Thaw depth
keyword: Active Layer Thickness
landing page: https://doi.org/10.1594/PANGAEA.973813

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

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
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issued: 2026-02-24T17:25:28.996587
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Cloud-optimized GeoTIFF of DSM
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Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:24:47.277885
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Tile footprints geojson
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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

Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T13:59:47.310406
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Cloud-optimized GeoTIFF of hillshade
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issued: 2026-02-24T16:13:30.041352
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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 CIR
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format: PNG
issued: 2026-02-24T16:22:19.681317
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Preview png of RGB
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issued: 2026-02-24T16:24:02.572888
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Tile footprints geojson
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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

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 RGB
type: Distribution
format: PNG
issued: 2026-02-24T13:59:40.447407
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2012.zip
type: Distribution
format: NetCDF
issued: 2026-03-06T10:25:42.502736
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access URL: https://zenodo.org/records/13361744/files/2012.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:21:18.906648
modified: 2026-02-26T11:15:47.015058
access URL: https://download.pangaea.de/dataset/962534/files/NA_MeadeFire_20190729_10cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:26:31.693989
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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: Alaska
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962232

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:33:48.872402
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FEATURES: DARTS_NitzeEtAl_v1-2_features_2018-2023_level1.gpkg
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format: GPKG
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access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A6d6e5f34-0416-4a9c-bc20-9bb2bfe16d3e

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: Alaska
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Lake
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
landing page: https://doi.org/10.1594/PANGAEA.962230

Preview png of CIR
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issued: 2026-02-24T16:16:32.837164
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COVERAGE: DARTS_NitzeEtAl_v1-2_coverage_2021-2023_intersect.parquet
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GeoTiffs all tiles and virtual mosaic Ortho
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Cloud-optimized GeoTIFF of DSM
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issued: 2026-02-24T16:22:19.681323
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NSF Arctic Data Center
type: Agent

Preview png of DSM
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GeoTiffs all tiles and virtual mosaic Ortho
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thaw depth measurements
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access URL: https://doi.pangaea.de/10.1594/PANGAEA.983065

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access URL: https://download.pangaea.de/dataset/962799/files/WA_SPCImuruk_20210710_10cm_04_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
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PointClouds all tiles NIR and RGB
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Preview png of DSM
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Preview png of DSM
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PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962539/files/NA_NorthSlopeCentral_20190729_10cm_01_PointClouds_tiles.zip

thaw depth measurements
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format: TAB
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Cloud-optimized GeoTIFF of hillshade
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Preview png of CIR
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GeoTiffs all tiles and virtual mosaic DSM
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Preview png of RGB
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Preview png of DSM
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Preview png of RGB
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Preview png of RGB
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Cloud-optimized GeoTIFF of hillshade
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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: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
keyword: Orthoimagery
keyword: Macs
landing page: https://doi.org/10.1594/PANGAEA.962735

Processing info
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format: ZIP
issued: 2026-02-24T17:23:03.112542
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Preview png of RGB
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Processing info
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access URL: https://download.pangaea.de/dataset/962787/files/WA_SPNorthKitlukCoast_20210709_10cm_02_processing_info.zip

Cloud-optimized GeoTIFF of DSM
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2006.zip
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Preview png of RGB
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2002.zip
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Preview
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Cloud-optimized GeoTIFF of hillshade
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Cloud-optimized GeoTIFF of DSM
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Cloud-optimized GeoTIFF of Ortho
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Cloud-optimized GeoTIFF of hillshade
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PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_PointClouds_tiles.zip

Preview png of RGB
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Cloud-optimized GeoTIFF of hillshade
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Preview png of CIR
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PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962134/files/NA_AnaktuvukRiverFire_20190722_7cm_05_PointClouds_tiles.zip

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

Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962279/files/NA_KetikFire_20190727_7cm_04_tile_footprints.geojson

Processing info
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Cloud-optimized GeoTIFF of DSM
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Cloud-optimized GeoTIFF of DSM
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PointClouds all tiles NIR and RGB
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format: LAS
issued: 2026-02-24T13:59:41.748277
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access URL: https://download.pangaea.de/dataset/962002/files/WC_TrailValleyCreek_20180822_10cm_03_PointClouds_tiles.zip

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:32:04.822208
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access URL: https://download.pangaea.de/dataset/962721/files/WA_NoatakValleyN_20210702_7cm_02_DSM_tiles.zip

Preview png of DSM
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Preview png of CIR
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GeoTiffs all tiles and virtual mosaic Ortho
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issued: 2026-02-24T17:43:23.599215
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access URL: https://download.pangaea.de/dataset/962663/files/WA_BPSouth_20210628_20cm_01_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962194/files/NA_TeshekpukLakeNorth_20190723_7cm_05_PointClouds_tiles.zip

Cloud-optimized GeoTIFF of hillshade
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Preview png of CIR
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Cloud-optimized GeoTIFF of DSM
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GeoTiffs all tiles and virtual mosaic Ortho
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access URL: https://download.pangaea.de/dataset/962136/files/NA_TeshekpukLakeNorth_20190723_7cm_01_Ortho_tiles.zip

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:20:18.757916
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access URL: https://download.pangaea.de/dataset/962321/files/NA_KetikFire_20190727_7cm_09_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: Macs
keyword: Canada
keyword: Digital Surface Model
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962011

Cloud-optimized GeoTIFF of Ortho
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1986.zip
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Cloud-optimized GeoTIFF of hillshade
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Tile footprints geojson
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access URL: https://download.pangaea.de/dataset/962790/files/WA_KobukDelta_20210710_20cm_01_tile_footprints.geojson

Cloud-optimized GeoTIFF of hillshade
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format: Geotiff
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Preview png of RGB
type: Distribution
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issued: 2026-02-24T17:28:34.742732
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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: Fire Scar
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962534

Cloud-optimized GeoTIFF of DSM
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format: Geotiff
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Cloud-optimized GeoTIFF of Ortho
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Cloud-optimized GeoTIFF of DSM
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Preview png of DSM
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GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
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access URL: https://download.pangaea.de/dataset/962536/files/NA_MeadeFire_20190729_10cm_02_DSM_tiles.zip

Preview png of CIR
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format: PNG
issued: 2026-02-24T16:18:15.475011
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Processing info
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format: ZIP
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access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_processing_info.zip

GeoTiffs all tiles and virtual mosaic DSM
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issued: 2026-02-24T17:24:05.320378
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access URL: https://download.pangaea.de/dataset/962837/files/WA_SPCKougarok01_20210710_10cm_02_DSM_tiles.zip

Preview png of DSM
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IRYP-DB, link to FileGDB
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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
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2014.zip
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access URL: https://zenodo.org/records/13361744/files/2014.zip

Cloud-optimized GeoTIFF of hillshade
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Preview
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Processing info
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Processing info
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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: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Point Clouds
keyword: Lava Field
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
landing page: https://doi.org/10.1594/PANGAEA.962799

2009.zip
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Processing info
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Tile footprints geojson
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Processing info
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Preview png of RGB
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Tile footprints geojson
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PointClouds all tiles NIR and RGB
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Preview png of DSM
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Processing info
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Cloud-optimized GeoTIFF of hillshade
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Preview png of CIR
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DARTS_NitzeEtAl_v1_coverage_2018_2023_level2.parquet
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PointClouds all tiles NIR and RGB
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1983.zip
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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: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Macs
keyword: Canada
landing page: https://doi.org/10.1594/PANGAEA.962003

Processing info
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FEATURES: DARTS_NitzeEtAl_v1-2_features_2018-2023_level2.gpkg
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Processing info
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Tile footprints geojson
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1987.zip
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Preview png of RGB
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PointClouds all tiles NIR and RGB
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Preview png of CIR
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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: Cryosphere
keyword: RTS
keyword: Remote Sensing
keyword: Deep learning
keyword: Arctic
keyword: Artificial Intelligence
keyword: Erosion
keyword: Landslides
keyword: ALD
keyword: Permafrost
keyword: Retrogressive Thaw Slumps
keyword: Thermokarst
keyword: Active Layer Detachment Slides
landing page: https://doi.org/10.18739/A22B8VD7C

GeoTiffs all tiles and virtual mosaic Ortho
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Preview png of RGB
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Cloud-optimized GeoTIFF of hillshade
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Cloud-optimized GeoTIFF of hillshade
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GeoTiffs all tiles and virtual mosaic DSM
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access URL: https://download.pangaea.de/dataset/962230/files/NA_TeshekpukLakeNorth_20190723_7cm_10_DSM_tiles.zip

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access URL: https://download.pangaea.de/dataset/962737/files/WA_NoatakValleyS_20210702_20cm_04_Ortho_tiles.zip

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Tile footprints geojson
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Preview png of DSM
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1995.zip
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Tile footprints geojson
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Preview png of DSM
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Tile footprints geojson
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format: Geotiff
issued: 2026-02-24T16:15:31.928799
modified: 2026-02-26T11:15:39.917785

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

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:29:09.774938
modified: 2026-02-26T11:15:59.660904

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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962638

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 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: Point Clouds
keyword: Structure-From-Motion
keyword: Alaska
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962278

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: 2026-02-24T17:24:47.277889
modified: 2026-02-26T11:16:31.542314

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: Thaw depth
keyword: Active Layer Thickness
landing page: https://doi.org/10.1594/PANGAEA.974025

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

PointClouds all tiles NIR and RGB
type: Distribution
format: LAS
issued: 2026-02-24T17:46:27.926857
modified: 2026-02-26T11:17:05.098500
access URL: https://download.pangaea.de/dataset/962736/files/WA_NoatakValleyS_20210702_20cm_03_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:15:57.406838
modified: 2026-02-26T11:16:18.887076

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

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: 2026-02-24T16:17:34.670192
modified: 2026-02-26T11:15:43.114311
access URL: https://download.pangaea.de/dataset/962580/files/NA_DrewPoint_20190730_10cm_04_PointClouds_tiles.zip

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

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

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

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

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:23:00.867870
modified: 2026-02-26T11:15:50.066014

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.881218
modified: 2026-02-26T11:17:02.424107

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:42:22.482124
modified: 2026-02-26T11:16:57.839085

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: Lake
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Teshekpuk Lake
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962181

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

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:46:27.926853
modified: 2026-02-26T11:17:05.098355

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:44:04.455697
modified: 2026-02-26T11:17:00.124001

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:42:22.482137
modified: 2026-02-26T11:16:57.839732
access URL: https://download.pangaea.de/dataset/962232/files/NA_TeshekpukLakeNorth_20190723_7cm_11_processing_info.zip

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:21:18.906637
modified: 2026-02-26T11:15:47.014588

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:24:05.320373
modified: 2026-02-26T11:16:30.312499

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

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:31:32.530412
modified: 2026-02-26T11:16:03.206710

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

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

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

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

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 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: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962733

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

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

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: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Teshekpuk Lake
keyword: Point Clouds
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Lake
landing page: https://doi.org/10.1594/PANGAEA.962194

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

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

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

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

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

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:27:27.613123
modified: 2026-02-26T11:15:56.925908
access URL: https://download.pangaea.de/dataset/962635/files/WA_BucklandFireScar_20210627_7cm_01_DSM_tiles.zip

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:30:20.875783
modified: 2026-02-26T11:16:38.423970

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:30:51.511928
modified: 2026-02-26T11:16:02.400819

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

Processing info
type: Distribution
format: ZIP
issued: 2026-02-24T17:12:53.211424
modified: 2026-02-26T11:16:13.535090
access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_processing_info.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: Digital Surface Model
keyword: Orthoimagery
keyword: Island
keyword: Arctic Landscape Dynamics
keyword: Macs
keyword: Point Clouds
keyword: Baldwin Peninsula
keyword: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962647

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T16:32:33.463206
modified: 2026-02-26T11:16:04.113561

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

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

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

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

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

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

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: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Coastal Erosion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962563

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: Point Clouds
keyword: Baldwin Peninsula
keyword: Structure-From-Motion
keyword: Alaska
keyword: Macs
keyword: Digital Surface Model
keyword: Coastal Erosion
keyword: Orthoimagery
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
landing page: https://doi.org/10.1594/PANGAEA.962790

PointClouds all tiles NIR and RGB
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format: LAS
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GeoTiffs all tiles and virtual mosaic DSM
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format: Geotiff
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access URL: https://download.pangaea.de/dataset/962644/files/WA_BucklandFireScar_20210627_7cm_06_DSM_tiles.zip

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

Preview png of DSM
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Tile footprints geojson
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Cloud-optimized GeoTIFF of Ortho
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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: Macs
keyword: Digital Surface Model
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962718

PointClouds all tiles NIR and RGB
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access URL: https://download.pangaea.de/dataset/962128/files/NA_AnaktuvukRiverFire_20190722_7cm_03_PointClouds_tiles.zip

1993.zip
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Processing info
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Cloud-optimized GeoTIFF of hillshade
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PointClouds all tiles NIR and RGB
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Processing info
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982982_data.csv
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Preview png of DSM
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Cloud-optimized GeoTIFF of hillshade
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Cloud-optimized GeoTIFF of hillshade
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Preview png of CIR
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access URL: https://download.pangaea.de/dataset/962225/files/NA_TeshekpukLakeNorth_20190723_7cm_08_Ortho_tiles.zip

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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: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Arctic Landscape Dynamics
keyword: Tundra
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Macs
landing page: https://doi.org/10.1594/PANGAEA.962118

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: Point Clouds
keyword: Fire Scar
keyword: Orthoimagery
keyword: Macs
keyword: Ice-Wedge Polygons
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962279

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

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: Thaw depth
keyword: Active Layer Thickness
landing page: https://doi.org/10.1594/PANGAEA.982982

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T16:17:33.686817
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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

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: Arctic Landscape Dynamics
keyword: Seward Peninsula
keyword: Macs
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Alaska
keyword: Dtlb
keyword: Digital Surface Model
keyword: Orthoimagery
landing page: https://doi.org/10.1594/PANGAEA.962789

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:24:02.572897
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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_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
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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

GeoTiffs all tiles and virtual mosaic DSM
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access URL: https://download.pangaea.de/dataset/962543/files/NA_NorthSlopeCentral_20190729_10cm_03_DSM_tiles.zip

Cloud-optimized GeoTIFF of Ortho
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FEATURES: README.md
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GeoTiffs all tiles and virtual mosaic DSM
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Preview png of DSM
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Preview png of CIR
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PointClouds all tiles NIR and RGB
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DARTS_NitzeEtAl_v1_features_2018_2023_level2.gpkg
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PointClouds all tiles NIR and RGB
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Preview png of CIR
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Cloud-optimized GeoTIFF of DSM
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PointClouds all tiles NIR and RGB
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Preview png of DSM
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Preview png of CIR
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Preview png of DSM
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Preview png of CIR
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Processing info
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GeoTiffs all tiles and virtual mosaic DSM
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PointClouds all tiles NIR and RGB
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issued: 2026-02-24T17:32:46.809645
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access URL: https://download.pangaea.de/dataset/962724/files/WA_NoatakValleyN_20210702_7cm_03_PointClouds_tiles.zip

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:44:45.881219
modified: 2026-02-26T11:17:02.424179

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

Preview png of RGB
type: Distribution
format: PNG
issued: 2026-02-24T17:24:05.320367
modified: 2026-02-26T11:16:30.312301

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

Tile footprints geojson
type: Distribution
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

GeoTiffs all tiles and virtual mosaic DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:39.069251
modified: 2026-02-26T11:17:07.473062
access URL: https://download.pangaea.de/dataset/961941/files/WC_TrailValleyCreek_20180822_10cm_01_DSM_tiles.zip

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T16:13:30.041343
modified: 2026-02-26T11:15:37.834391

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T10:59:53.396517
modified: 2026-02-26T11:17:21.014666

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

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T13:59:45.939652
modified: 2026-02-26T11:17:14.333835

DARTS_NitzeEtAl_v1_coverage_2018_2023_level1.gpkg
type: Distribution
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

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

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

Cloud-optimized GeoTIFF of hillshade
type: Distribution
format: Geotiff
issued: 2026-02-24T17:24:05.320380
modified: 2026-02-26T11:16:30.312849

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: Canada
keyword: Orthoimagery
keyword: Macs
keyword: Digital Surface Model
keyword: Structure-From-Motion
keyword: Permafrost
keyword: Airborne Data
keyword: Arctic Landscape Dynamics
keyword: Point Clouds
landing page: https://doi.org/10.1594/PANGAEA.962002

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:35:53.703043
modified: 2026-02-26T11:16:47.954661

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

Preview png of CIR
type: Distribution
format: PNG
issued: 2026-02-24T17:10:27.431324
modified: 2026-02-26T11:16:07.874404

Cloud-optimized GeoTIFF of Ortho
type: Distribution
format: Geotiff
issued: 2026-02-24T16:25:03.811498
modified: 2026-02-26T11:15:52.674570

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

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

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: 2026-02-24T17:12:53.211418
modified: 2026-02-26T11:16:13.534835
access URL: https://download.pangaea.de/dataset/962800/files/WA_SPCImuruk_20210710_10cm_05_DSM_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 DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T17:35:12.561489
modified: 2026-02-26T11:16:46.986443

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:11:28.732039
modified: 2026-02-26T11:16:09.222079

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 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: Macs
keyword: Digital Surface Model
keyword: Fire Scar
keyword: Orthoimagery
keyword: Permafrost
keyword: Arctic Landscape Dynamics
keyword: Ice-Wedge Polygons
keyword: Point Clouds
keyword: Structure-From-Motion
keyword: Airborne Data
keyword: Alaska
landing page: https://doi.org/10.1594/PANGAEA.962642

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: Canada
keyword: Russia
keyword: Yedoma
keyword: Distribution
keyword: Permafrost
keyword: Alaska
keyword: Thickness
landing page: https://doi.pangaea.de/10.1594/PANGAEA.861733

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

Preview png of DSM
type: Distribution
format: PNG
issued: 2026-02-24T17:39:18.880728
modified: 2026-02-26T11:16:54.186842

Cloud-optimized GeoTIFF of DSM
type: Distribution
format: Geotiff
issued: 2026-02-24T16:19:16.889195
modified: 2026-02-26T11:15:45.059828

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

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