ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019

Kyzivat, E.D.; L.C. Smith; C. Huang; C. Wang; T. Langhorst; J.V. Fayne; M.E. Harlan; Y. Ishitsuka; D. Feng; L.H. Pitcher; T.M. Pavelsky.

This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions.

There are 79 data files included in this dataset, 58 in GeoTIFF (.tif) format and 21 compressed shapefiles (.shp).

Citation

In order to use these data, you must cite this data set with the following citation:

Kyzivat, E.D., L.C. Smith, C. Huang, C. Wang, T. Langhorst, J.V. Fayne, M.E. Harlan, Y. Ishitsuka, D. Feng, L.H. Pitcher, and T.M. Pavelsky. 2021. ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1883

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy.

Contact

ORNL DAAC

Metadata Access

DCAT in RDF/XML-Format

DCAT in Turtle-Format

DCAT in JSON-LD-Format

APGC Dataset Metadata in JSON-Format

Data and Resources

Additional Info

Field Value
Identifier DOI: 10.3334/ORNLDAAC/1883
Project(s) The Arctic-Boreal Vulnerability Experiment (ABoVE)
Institute Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Source https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1883
Publication Date 2021-12-21
Version 1.0
Product Land Cover Classification Maps
Sensor The airborne NASA UAVSAR instrument
Files
  1. line_YYmmDD_mosaic_class.tif: Preliminary ("cls") or final ("rcls") and cover classification aligning with composite mosaics for each study area combining all scenes acquired for a single date
  2. line_aaabb_ccccc_ddd_YYmmDD_eeee_ff_gg_model_class.tif: Preliminary ("cls") or final ("rcls") land cover classification aligning with the UAVSAR scene footprints for each study area combining all scenes acquired for a single date
  3. line_training_YYYY_mmmm_x.zip: Land cover classification: polygons of uniform land cover types used for training the classification procedure.
  4. line_aaabb_ccccc_ddd_YYmmDD_eeee_ff_gg_model_rcls_lakes.zip: Lake characteristics, including vegetative cover
  5. Study-areas.zip: Polygons that depict the study areas
  6. UAVSAR_classification_footprints.zip: Footprints outlines of the UAVSAR imagery and the co-registered 13-class preliminary land cover for each footprint
  7. Study-areas.kml: A KML copy of Study-areas.zip for viewing in Google Earth
  8. UAVSAR_classification_footprints.kml: A KML copy of UAVSAR_classification_footprints.zip for viewing in Google Earth
  9. 5-classes-arcgis.lyr: Layer file for visualizing final ("rcls") land cover maps with ArcGIS
  10. 5-classes-qgis.qml: Layer style file for 5-classes-arcgis.lyr
  11. 13-classes-arcgis.lyr: Layer file for visualizing preliminary ("cls") land cover maps with ArcGIS
  12. 13-classes-qgis.qml: Layer style file for 13-classes-arcgis.lyr
Variables [Units]
  1. area_px_m2: Area in square meters [m2]
  2. perimeter_: Perimeter in meters (unreliable for small lakes close to the pixel scale) [m]
  3. em_fractio: Emergent macrophyte coverage as fraction of lake (vegetated littoral zone; sum of fw_fractio, sw_fractio, and gw_fractio)
  4. fw_fractio: Wet forest coverage as fraction of lake
  5. sw_fractio: Wet shrub coverage as fraction of lake
  6. gw_fractio: Wet graminoid coverage as fraction of lake
  7. edge: Indicates an edge lake that intersects a UAVSAR footprint boundary (1); otherwise (0)
  8. cir_observ: Indicates that the lake was detected in AirSWOT color-infrared camera (CIR) imagery (1); or that it was either not detected or not within coverage (0)
Region Alaska, U.S.; Alberta and Northwest Territories, Canada
Spatial Reference ESRI:102001:NAD 1983 / Albers Canada Equal Area
Spatial Resolution 6 meters
Spatial Coverage Latitude 60.0908 to 62.4553, Longitude -135.6598 to -114.5322
Temporal Coverage 2017-01-01 to 2019-09-19
Temporal Resolution Annual
Format GeoTIFF, Shapefile
Is Supplement To
Related to

Huang, C., L.C. Smith, E.D. Kyzivat, J.V. Fayne, Y. Ming, and C. Spence. 2022. Tracking transient boreal wetland inundation with Sentinel-1 SAR: Peace-Athabasca Delta, Alberta and Yukon Flats, Alaska. GIScience & Remote Sensing. 59(1):1767-1792. https://doi.org/10.1080/15481603.2022.2134620

Kyzivat, E.D., L.C. Smith, L.H. Pitcher, J. Arvesen, T.M. Pavelsky, S.W. Cooley, and S. Topp. 2018. ABoVE: AirSWOT Color-Infrared Imagery Over Alaska and Canada, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1643

Pitcher, L.H., L.C. Smith, T.M. Pavelsky, J.V. Fayne, S.W. Cooley, E.H. Altenau, D.K. Moller, and J. Arvesen. 2019. ABoVE: AirSWOT Radar, Orthomosaic, and Water Masks, Yukon Flats Basin, Alaska, 2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1655

Dataset extent