Detection and Volume Estimation of Large-Scale Landslide in Abe Barek, Afghanistan Using Nonlinear Mapping of DEMs
Detection and Volume Estimation of Large-Scale Landslide in Abe Barek, Afghanistan Using Nonlinear Mapping of DEMs
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DOI：
10.1109/igarss47720.2021.9554504
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
Mujeeb Rahman Atefi;H. Miura
中科院分区：
文献类型：
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作者：
Mujeeb Rahman Atefi;H. Miura
对流离失所物资的范围和数量进行评估对于灾后管理活动至关重要。在这项研究中，我们提出了一种非线性几何校正技术，用于识别滑坡影响区域和估计的体积，通过使用事件前和事件后的数字高程模型（DEM）生成的高分辨率立体对卫星图像的阿部Barek滑坡，这是一个毁灭性的滑坡，发生在2014年5月2日，在阿富汗的北方部分。该方法包括在DEM的子区域中生成移位矢量、一致性操作和移位矢量的插值。质量评估证实，所提出的方法优于简单的差分技术DEM消除了大规模的几何误差在未受影响的地区。我们估计滑坡体积为1.06 × 106立方米，从事件前和事件后的DEM校正所提出的方法。最后，对滑坡影响区的建筑物损坏进行了评估，在此分析中获得的沉积深度。
Evaluations of the extent and the volume of the displaced materials are vital for post-disaster management activities. In this study, we present a nonlinear geometric correction technique for identifying landslide affected areas and estimating the volume by using pre-and post-event digital elevation models (DEMs) generated from high-resolution stereo pair satellite imagery of the Abe Barek landslide, which was a devastating landslide that occurred On May 2, 2014, in the northern part of Afghanistan. The proposed method consists of shifting vector generation in subareas of the DEMs, consensus operations, and interpolation of the shifting vectors. The quality assessment confirmed that the proposed method outperformed simple DEMs of difference technique by eliminating a large scale of geometric errors in unaffected areas. We estimated the landslide volume as 1.06 x 106 m3 from the pre-and post-event DEMs corrected by the proposed method. Finally, the building damage assessment on the landslide-affected area has been carried out in terms of the deposition depths obtained in this analysis.