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Regional‐Scale Investigation of Preconditioning Factors of Rock Slope Instabilities in NW Bhutan
Journal of Geophysical Research: Earth Surface ( IF 3.5 ) Pub Date : 2020-08-19 , DOI: 10.1029/2019jf005404
Benedetta Dini 1 , Jordan Aaron 1 , Andrea Manconi 1 , Larissa De Palezieux 1 , Kerry Leith 1 , Simon Loew 1
Affiliation  

We present a new inventory of large rock slope instabilities and an extensive structural data set for northwestern Bhutan. Our data set is largely based on satellite observations, such as optical images and high‐resolution digital surface models, complemented with field observations. Kinematic analyses over seven different structural domains recognized in the study region were carried out to investigate structural control over the landslide distribution at a regional scale. In order to account for the sampling heterogeneity in the different data sets, a weighting system to the structural data is proposed. The results show that structural control exists in five out of seven domains, with foliation strongly influencing the sliding mechanisms. A lithological control appears also evident, with sedimentary rocks showing the highest landslide densities in the region. This study demonstrates how methodologies built on remote sensing data are suitable to investigate landslide predisposition at regional scales especially in largely inaccessible areas.

中文翻译:

不丹西北部岩质边坡失稳预处理因子的区域规模研究

我们提供了一个新的大岩石边坡不稳定性清单,以及不丹西北部的广泛结构数据集。我们的数据集主要基于卫星观测数据,例如光学图像和高分辨率数字地面模型,以及现场观测数据。对研究区域内公认的七个不同结构域进行了运动学分析,以研究区域范围内滑坡分布的结构控制。为了解决不同数据集中的采样异质性,建议对结构数据进行加权。结果表明,结构控制存在于七个区域中的五个区域中,其中叶面强烈影响滑动机制。岩性控制似乎也很明显,沉积岩显示出该地区最高的滑坡密度。这项研究表明,建立在遥感数据基础上的方法学如何适合调查区域范围内的滑坡易发性,尤其是在人迹罕至的地区。
更新日期:2020-09-21
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