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Accuracy assessment of the ASTER GDEM and SRTM3 DEM: an example in the Loess Plateau and North China Plain of China
Authors:Shangmin Zhao  Weiming Cheng  Xi Chen  Shifang Zhang  Zengpo Zhou
Affiliation:1. Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences , Urumchi , Xinjiang , 830011 , China;2. State Key Laboratory of Resources and Environmental Information System , Institute of Geographic Sciences and Natural Resources Research , CAS , Beijing , 100101 , China;3. Graduate University of Chinese Academy of Sciences , Beijing , 100049 , China;4. State Key Laboratory of Resources and Environmental Information System , Institute of Geographic Sciences and Natural Resources Research , CAS , Beijing , 100101 , China;5. Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences , Urumchi , Xinjiang , 830011 , China;6. College of Global Change and Earth System, Beijing Normal University , Beijing , 100875 , China
Abstract:The digital elevation model (DEM) produced by the Shuttle Radar Topographic Mission (SRTM) has provided important fundamental data for topographic analysis in many fields. The recently released global digital elevation model (GDEM) produced by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has higher spatial resolution and wider coverage than the SRTM3 DEM, and thus may be of more value to researchers. Taking two typical study areas—the Loess Plateau and the North China Plain of China—as an example, this article assesses the accuracy of the SRTM3 DEM and ASTER GDEM by collecting ground control points from topographical maps. It is found that both the SRTM3 DEM and the ASTER GDEM are far more accurate for the North China Plain than for the Loess Plateau. For the Loess Plateau, the accuracy of the ASTER GDEM is similar to that of the SRTM3 DEM; whereas for the North China Plain, it is much worse than that of the SRTM3 DEM. Considering the negative bias of the ASTER GDEM for flat or gentle regions, we improve its accuracy by adding the difference of the mean value between the SRTM3 DEM and ASTER GDEM for the North China Plain; then, the root mean square error (RMSE) of ±7.95 m from the original ASTER GDEM is improved to ±5.26 m, which demonstrates that it is a simple but useful way to improve the accuracy of the ASTER GDEM in flat or gentle regions.
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