A multi-sensor approach towards a global vegetation corrected SRTM DEM product

REMOTE SENSING OF ENVIRONMENT

卷:182

Article

O'Loughlin, F. E.¹  Paiva, R. C. D.²  Durand, M.^3,4  Alsdorf, D. E.^3,4  Bates, P. D.¹ 

[1] Univ Bristol, Sch Geog Sci, Bristol BS8 1TH, Avon, England

[2] Univ Fed Rio Grande do Sul, Inst Hydraul Res, BR-90046900 Porto Alegre, RS, Brazil

[3] Ohio State Univ, Sch Earth Sci, Columbus, OH 43210 USA

[4] Ohio State Univ, Byrd Polar & Climate Res Ctr, Columbus, OH 43210 USA

关键词: SRTM;    Vegetation correction;    Digital Elevation Model;    DEM;    ICESat;    Bare-Earth;   

DOI  :  10.1016/j.rse.2016.04.018

来源: Elsevier

【 摘 要 】

We develop the first global 'Bare-Earth' Digital Elevation Model (DEM) based on the Shuttle Radar Topography Mission (SRTM) for all landmasses between 60N and 54S. Our new 'Bare-Earth' SRTM DEM combines multiple remote sensing datasets, including point-ground elevations from NASA's laser altimeter ICESat, a database of percentage of tree cover from the MODIS satellite as a proxy for penetration depth of SRTM and a global vegetation height map in order to remove the vegetation artefacts present in the original SRTM DEM. We test multiple methods of removing vegetation artefacts and investigate the use of regionalization. Our final 'Bare-Earth' SRTM product shows global improvements greater than 10 m in the bias over the original SRTM DEM in vegetated areas compared with ground elevations determined from ICESat data with a significant reduction in the root mean square error from over 14 m to 6 m globally. Therefore, our DEM will be valuable for any global applications, such as large scale flood modelling requiring a 'Bare-Earth' DEM. (C) 2016 The Authors. Published by Elsevier Inc.

【 授权许可】

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