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Assessment of Lidar-derived DTMs for landslide susceptibility mapping: Application in the Brazilian subtropical forest

机译:激光雷达衍生DTM在滑坡敏感性图上的评估:在巴西亚热带森林中的应用

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The efficiency of two sets of Digital Terrain Model (DTM), one based on LiDAR data, and the other on traditional contour lines method were assessed for landslide susceptibility mapping at 1:2000 scale. To evaluate the DTMs, we used the shallow slope stability model, SHALSTAB. The tests were carried out in a basin affected by shallow landsliding caused by extensive rainfall during March 2011, in the urban area of Antonina city (Parana State), southern part of the Serra do Mar mountain range, in Brazil. The geotechnical data needed for the model consisted of two sets of values measured from 2011 landslide scars. In order to validate the landslide susceptibility maps, we compared the spatial pattern of instability classes predicted by SHALSTAB with the mapped landslide scars. The results showed significant difference between the DTMs, especially in the distribution of the most unstable classes.
机译:评估了两组数字地形模型(DTM)的效率,其中一组基于LiDAR数据,另一组基于传统的轮廓线方法,以1:2000的比例绘制滑坡敏感性图。为了评估DTM,我们使用了浅层边坡稳定性模型SHALSTAB。这些测试是在2011年3月于巴西塞拉杜马尔山脉南部的安东尼娜市(帕拉纳州)市区受暴雨造成的浅层滑坡影响的盆地中进行的。该模型所需的岩土数据包括从2011年滑坡疤痕测得的两组值。为了验证滑坡敏感性图,我们将SHALSTAB预测的不稳定性类别的空间模式与映射的滑坡疤痕进行了比较。结果显示DTM之间存在显着差异,尤其是在最不稳定类别的分布方面。

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