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Evaluation of ASTER GDEM using GPS benchmarks and SRTM in China
- Source :
- International Journal of Remote Sensing. 34:1744-1771
- Publication Year :
- 2012
- Publisher :
- Informa UK Limited, 2012.
-
Abstract
- The Advanced Spaceborne Thermal Emission and Reflection Radiometer ASTER Global Digital Elevation Model GDEM has generated one of the most complete high-resolution digital topographic data sets of the world to date. The ASTER GDEM covers land surfaces between 83° N and 83° S at a spatial resolution of 1 arc-second approximately 30 m at the equator. As an improvement over Shuttle Radar Topography Mission SRTM coverage, the ASTER GDEM will be a very useful product for many applications, such as relief analysis, hydrological studies, and radar interferometry. In this article, its absolute vertical accuracy in China was assessed at five study sites using ground control points GCPs from high-accuracy GPS benchmarks and also using a DEM-to-DEM comparison with the Consultative Group on International Agriculture Research Consortium for Spatial Information CGIAR-CSI SRTM DEM Version 4.1. It is demonstrated that the vertical accuracy of ASTER GDEM is 26 m root mean square error RMSE against GPS-GCPs, while for the SRTM DEM it is 23 m. Furthermore, height differences in the GDEM-SRTM comparison appear to be overestimated in the areas with a south or southwest aspect in the five study areas. To a certain extent, the error can be attributed to variations in heights due to land-cover effects and undefined inland waterbodies. But the ASTER GDEM needs further error-mitigating improvements to meet the expected accuracy specification. However, as for its unprecedented detail, it is believed that the ASTER GDEM offers a major alternative in accessibility to high-quality elevation data.
- Subjects :
- business.industry
Shuttle Radar Topography Mission
law.invention
Advanced Spaceborne Thermal Emission and Reflection Radiometer
law
Elevation data
Global Positioning System
General Earth and Planetary Sciences
Radar
Digital elevation model
business
Spatial analysis
Cartography
Image resolution
Geology
Remote sensing
Subjects
Details
- ISSN :
- 13665901 and 01431161
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- International Journal of Remote Sensing
- Accession number :
- edsair.doi...........8034720cd2c40f17296d4bb4891c7ea1