期刊
GEOPHYSICAL RESEARCH LETTERS
卷 44, 期 11, 页码 5844-5853出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2017GL072874
关键词
digital elevation model; SRTM; AW3D; ICESat; global data set
资金
- JSPS [16H06101, 16H06291]
- Grants-in-Aid for Scientific Research [16H06291, 16H06101] Funding Source: KAKEN
Spaceborne digital elevation models (DEMs) are a fundamental input for many geoscience studies, but they still include nonnegligible height errors. Here we introduce a high-accuracy global DEM at 3 resolution (similar to 90 m at the equator) by eliminating major error components from existing DEMs. We separated absolute bias, stripe noise, speckle noise, and tree height bias using multiple satellite data sets and filtering techniques. After the error removal, land areas mapped with 2m or better vertical accuracy were increased from 39% to 58%. Significant improvements were found in flat regions where height errors larger than topography variability, and landscapes such as river networks and hill-valley structures, became clearly represented. We found the topography slope of previous DEMs was largely distorted in most of world major floodplains (e.g., Ganges, Nile, Niger, and Mekong) and swamp forests (e.g., Amazon, Congo, and Vasyugan). The newly developed DEM will enhance many geoscience applications which are terrain dependent.
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