A new inventory of 66 small and shallow landslides within six pilot areas was created based on a high-resolution digital elevation model in the canton of Vaud in Switzerland. The geometrical characteristics of the landslides were recorded (i.e. surface area, maximum thickness and length), and the volumes were estimated. These data permitted the development of a model that provides the probability for a landslide to possess a maximum thickness or volume smaller than a given value based on the landslide horizontal surface area. The results are compared with three existing power-law relationships of surface area–volumes. This new approach constitutes a way to improve the quantification of the uncertainty of volume and maximum depth estimations for small and shallow landslides.

中文翻译：

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一种基于表面积评估小而浅的初始滑坡破裂厚度和体积估计概率的方法

基于瑞士沃州的高分辨率数字高程模型，创建了一个包含 6 个试点区域内 66 个小型浅层滑坡的新清单。记录了滑坡的几何特征（即表面积、最大厚度和长度），并估计了体积。这些数据允许开发一个模型，该模型提供了滑坡最大厚度或体积小于基于滑坡水平表面积的给定值的概率。将结果与表面积-体积的三个现有幂律关系进行比较。这种新方法构成了一种改进小型和浅层滑坡体积和最大深度估计的不确定性量化的方法。