A multi-sensor approach towards a global vegetation corrected SRTM DEM product
A multi-sensor approach towards a global vegetation corrected SRTM DEM product
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DOI：
10.1016/j.rse.2016.04.018
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发表时间：
2016-09-01
影响因子：
13.5
通讯作者：
Bates, P. D.
中科院分区：
文献类型：
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作者：
O'Loughlin, F. E.;Paiva, R. C. D.;Bates, P. D.
我们基于航天飞机雷达地形测绘任务（SRTM），针对北纬60度到南纬54度之间的所有陆地，开发了首个全球“裸地”数字高程模型（DEM）。我们新的“裸地”SRTM DEM结合了多个遥感数据集，包括来自美国国家航空航天局（NASA）激光高度计ICESat的地面点高程、来自中分辨率成像光谱仪（MODIS）卫星的树木覆盖百分比数据库（作为SRTM穿透深度的替代指标）以及全球植被高度图，以去除原始SRTM DEM中存在的植被伪影。我们测试了多种去除植被伪影的方法，并研究了区域化的应用。我们最终的“裸地”SRTM产品显示，与根据ICESat数据确定的地面高程相比，在植被区域内，其偏差相对于原始SRTM DEM在全球范围内改善超过10米，全球均方根误差从超过14米显著降低到6米。因此，我们的DEM对于任何全球应用都将具有价值，例如需要“裸地”DEM的大规模洪水建模。（C）2016作者。由爱思唯尔公司出版。
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.