10.3334/ORNLDAAC/1883
Kyzivat, E.D.
E.D.
Kyzivat
Smith, L.C.
L.C.
Smith
Huang, C.
C.
Huang
Wang, C.
C.
Wang
Langhorst, T.
T.
Langhorst
Fayne, J.V.
J.V.
Fayne
Harlan, M.E.
M.E.
Harlan
Ishitsuka, Y.
Y.
Ishitsuka
Feng, D.
D.
Feng
Pitcher, L.H.
L.H.
Pitcher
Pavelsky, T.M.
T.M.
Pavelsky
ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019
Arctic-Boreal Vulnerability Experiment (ABoVE)
ORNL Distributed Active Archive Center
2021
LAND SURFACE, LAND USE/LAND COVER, LAND USE/LAND COVER CLASSIFICATION,
BIOSPHERE, ECOSYSTEMS, AQUATIC ECOSYSTEMS, WETLANDS
TERRESTRIAL HYDROSPHERE, SURFACE WATER, SURFACE WATER FEATURES, WETLANDS
G-III, UAVSAR
FIELD SURVEYS, CAMERA
inundation extent
plant functional type
lake shorelines
river shorelines
wetland shorelines
GPS tracks
ORNL DAAC
0000-00-00
0000-00-00
2017-01-01/2019-09-19
en
https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=34
Data Files
0 MB
ESRI Shapefile, GTiff
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.
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