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首页> 外文期刊>GIScience & remote sensing >Comparison of DEMS derived from USGS DLG, SRTM, a statewide photogrammetry program, ASTER GDEM and LiDAR: implications for change detection
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Comparison of DEMS derived from USGS DLG, SRTM, a statewide photogrammetry program, ASTER GDEM and LiDAR: implications for change detection

机译：来自USGS DLG，SRTM，全州摄影测量计划，ASTER GDEM和LiDAR的DEMS的比较：对变更检测的影响

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摘要

Many digital elevation models (DEMs) now exist, enabling quantitative assessments of topographic change through DEM subtraction. However, many of these DEMs are inherently different - their source data, preprocessing, and interpolation procedures introduce varying amounts of error, which are partially correlated with the local topographic situation (e.g. slope, aspect, and elevation of any given location). Understanding of these differences and potential errors is necessary prior to change detection analysis in order to incorporate the inherent uncertainties into the analysis of topographic change. This study evaluated available DEMs in the Mud 7.5 ' United States Geological Survey (USGS) topographic quadrangle in West Virginia, USA. We compare DEMs derived from the USGS digital line graphs (DLGs), the Shuttle Radar Topography Mission (SRTM), a statewide photogrammetric DEM, and the Advanced Spaceborne Thermal Emission and Reflection (ASTER) Global DEM v2, to a LiDAR DEM. Using the LiDAR data as a reference (RMSE 0.12m), the USGS DLG and the SAMB showed low RMSE, while the SRTM and GDEM exhibited high RMSE and a systematic negative bias.
机译：现在存在许多数字高程模型（DEM），可以通过减法DEM定量评估地形变化。但是，这些DEM中的许多本质上是不同的-它们的源数据，预处理和插值过程会引入不同程度的误差，这些误差与局部地形情况（例如任何给定位置的坡度，坡向和高程）部分相关。为了将固有的不确定性纳入地形变化分析中，在进行变化检测分析之前必须了解这些差异和潜在的误差。这项研究评估了美国西弗吉尼亚州Mud 7.5'美国地质调查局（USGS）地形四边形中的可用DEM。我们将来自USGS数字线图（DLG），航天飞机雷达地形图任务（SRTM），全州摄影测量DEM和高级星载热发射与反射（ASTER）全局DEM v2的DEM与LiDAR DEM进行了比较。使用LiDAR数据作为参考（RMSE 0.12m），USGS DLG和SAMB显示出较低的RMSE，而SRTM和GDEM显示出较高的RMSE和系统性的负偏差。

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