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Digital Elevation/Terrain Model (DEM) Data Access and Tools

NASA's digital elevation model (DEM) data provides measurements across a majority of Earth's interior, shore, and coastal areas. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge. 

Digital Elevation/Terrain Model (DEM) Data Tools

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Digital Elevation/Terrain Model (DEM) Datasets

Dataset Platforms Instruments Temporal Extent Location Keywords Spatial Extent Data Format
ASTER Global Emissivity Dataset, 100 meter, HDF5 V003 Terra ASTER 2000-01-01 to 2008-12-31 GLOBAL N: 90 S: -90 E: 180 W: -180 HDF5
ASTER Global Water Bodies Database V001 Terra ASTER 2000-03-01 to 2013-11-30 GLOBAL LAND N: 82 S: -83 E: 180 W: -180 GeoTIFF
ASTER Orthorectified Digital Elevation Model (DEM) V003 Terra ASTER 2000-03-06 to Present GLOBAL LAND N: 83 S: -83 E: 180 W: -180 GeoTIFF
BOREAS DEM Data over the NSA-MSA and SSA-MSA in AEAC Projection MAPS DIGITIZER 1970-01-01 to 1989-12-31 N: 56.14 S: 53.65 E: -97.98 W: -105.23 Binary
BOREAS HYD-08 DEM Data over the NSA-MSA and SSA-MSA in UTM Projection MAPS DIGITIZER 1970-01-01 to 1989-12-31 N: 56.06 S: 53.69 E: -98.09 W: -105.23 Binary
BOREAS Regional DEM in Raster Format and AEAC Projection DEM DIGITIZER 1993-08-01 to 1996-12-31 N: 58.98 S: 50.09 E: -93.5 W: -111 Binary
CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 Airplane LIDAR 2012-07-27 to 2014-12-27 N: -2.55319 S: -3.76718 E: -46.7931 W: -48.4958 multiple
CMS: LiDAR Data for Forested Sites on Borneo Island, Kalimantan, Indonesia, 2014 Airplane LIDAR 2014-10-18 to 2014-11-30 N: 3.211 S: -2.758 E: 118 W: 109.816 LAZ
CMS: LiDAR-derived Canopy Height, Elevation for Sites in Kalimantan, Indonesia, 2014 Airplane LIDAR 2014-10-18 to 2014-11-30 N: 3.21104 S: -2.7625 E: 118 W: 109.813 GeoTIFF
CMS: LiDAR-derived Tree Canopy Cover for States in the Northeast USA MODELS, Airplane Computer, AIRBORNE LASER SCANNER, CAMERAS 2008-01-01 to 2014-08-30 MARYLAND, DELAWARE, PENNSYLVANIA, UNITED STATES OF AMERICA N: 43.0987 S: 37.7092 E: -74.1541 W: -81.1415 GeoTIFF
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