DocumentCode
77110
Title
Assessing Global Digital Elevation Models Using the Runway Method: The Advanced Spaceborne Thermal Emission and Reflection Radiometer Versus the Shuttle Radar Topography Mission Case
Author
Becek, Kazimierz
Author_Institution
Wroclaw Univ. of Environ. & Life Sci., Wroclaw, Poland
Volume
52
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
4823
Lastpage
4831
Abstract
The accuracy of global digital elevation models (GDEMs or DEMs), i.e., the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Shuttle Radar Topography Mission (SRTM), has been reassessed using the “runway” method. The runway method uses the vertical profiles of runways as reference data to which corresponding profiles extracted from investigated DEMs are compared. The major advantage of the runway method is that only the source of instrument-induced errors of DEMs is captured. This ultimate effect is achieved due to the flatness and the homogeneous materials from which runways are constructed. A cross-comparison of the two DEMs has helped to highlight a few important facts: both exhibit a negative elevation bias, and the ASTER DEM contains outliers that may be relatively easy to detect and correct, particularly in flat terrain.
Keywords
digital elevation models; geophysical techniques; radiometry; remote sensing by radar; terrain mapping; topography (Earth); ASTER DEM; DEM cross-comparison; GDEM; SRTM; advanced spaceborne thermal emission and reflection radiometer; extracted profiles; flat terrain; global digital elevation model accuracy; global digital elevation model assessment; homogeneous materials; instrument-induced error source; major runway method advantage; negative elevation bias; reference data; reflection radiometer; shuttle radar topography mission case; vertical runway profiles; Accuracy; Airports; Instruments; Materials; Quantization (signal); Spaceborne radar; Standards; Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER); Shuttle Radar Topography Mission (SRTM); airports; digital elevation models (DEM);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2013.2285187
Filename
6651798
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