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The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China

机译:DEM空间分辨率对Baxie River河流域滑坡易感测绘的影响

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摘要

The selection of an appropriate map resolution is highly important for landslide susceptibility assessment. No consistent objective criteria, however, are currently applied to the choice of map resolution. This research, in conjunction with slope units, explores the effect of digital elevation model (DEM) resolution on susceptibility modelling using three statistical models (frequency ratio, index of entropy, and weight of evidence). Seven different spatial resolutions (30, 40, 50, 60, 70, 80, and 90 m) and three statistical models are investigated. For each resolution, we compare the performance of the three models using area under curve (AUC) analysis. The results show that, independent of the statistical models, the best performances are produced at 70 m DEM resolution. This highlights that finer resolutions do not necessarily lead to higher predictive accuracy in landslide susceptibility mapping. Rather, the frequency ratio model seems to be optimal for the coarser resolutions (i.e. 70, 80, and 90 m).
机译:选择适当的地图分辨率对于滑坡易感性评估非常重要。但是,目前没有一致的客观标准目前应用于地图分辨率的选择。本研究与坡度单位相结合,探讨了数字高度模型(DEM)分辨率对使用三种统计模型(频率率,熵索引和证据重量)的敏感性建模的影响。研究了七种不同的空间分辨率(30,40,50,60,70,80和90米)和三种统计模型。对于每个分辨率,我们使用曲线(AUC)分析的区域进行比较三种模型的性能。结果表明,独立于统计模型,最佳性能在70米DEM分辨率下产生。这突出了更精细的分辨率并不一定导致滑坡易感性映射中的更高的预测精度。而是,频率比模型似乎是较粗糙分辨率(即70,80和90米)的最佳选择。

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