Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 107-110, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/107/2016/
doi:10.5194/isprs-archives-XLI-B4-107-2016
 
13 Jun 2016
ASTER GLOBAL DEM VERSION 3, AND NEW ASTER WATER BODY DATASET
M. Abrams Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA
Keywords: DEM, ASTER, Water body mask Abstract. In 2016, the US/Japan ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) project released Version 3 of the Global DEM (GDEM). This 30 m DEM covers the earth’s surface from 82N to 82S, and improves on two earlier versions by correcting some artefacts and filling in areas of missing DEMs by the acquisition of additional data. The GDEM was produced by stereocorrelation of 2 million ASTER scenes and operation on a pixel-by-pixel basis: cloud screening; stacking data from overlapping scenes; removing outlier values, and averaging elevation values. As previously, the GDEM is packaged in ~ 23,000 1 x 1 degree tiles. Each tile has a DEM file, and a NUM file reporting the number of scenes used for each pixel, and identifying the source for fill-in data (where persistent clouds prevented computation of an elevation value). An additional data set was concurrently produced and released: the ASTER Water Body Dataset (AWBD). This is a 30 m raster product, which encodes every pixel as either lake, river, or ocean; thus providing a global inland and shore-line water body mask. Water was identified through spectral analysis algorithms and manual editing. This product was evaluated against the Shuttle Water Body Dataset (SWBD), and the Landsat-based Global Inland Water (GIW) product. The SWBD only covers the earth between about 60 degrees north and south, so it is not a global product. The GIW only delineates inland water bodies, and does not deal with ocean coastlines. All products are at 30 m postings.
Conference paper (PDF, 1227 KB)


Citation: Abrams, M.: ASTER GLOBAL DEM VERSION 3, AND NEW ASTER WATER BODY DATASET, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 107-110, doi:10.5194/isprs-archives-XLI-B4-107-2016, 2016.

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