Landslide inventory validation and susceptibility mapping in the Gerecse Hills, Hungary
作者机构：Department of Cartography and GeoinformaticsEötvös Loránd UniversityBudapestHungary
出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)
年 卷 期：2021年第24卷第3期
页 面：498-508页
核心收录：
学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程]
基 金：The study was supported by theÚNKP-17-2 New National Excellence Program of the Ministry of Human Capacities,Hungary[grant number ELTE/12421/65(2017)] This research was partly supported by the Thematic Excellence Programme,Industry and Digitization Subprogramme,NRDI Office[grant number ED_18-1-2019-0030]
主 题：Landslide susceptibility landslide inventory TanDEM-X Gerecse Hills landslides geomorphometry
摘 要：Landslides pose a threat to property both in the populated and cultivated areas of the Gerecse Hills (Hungary). The currently available landslide inventory database holds the records from many sites in the area, but the database is out-of-date. Here we address the problem of revising the National Landslides Cadastre landslide inventory database by creating a landslide suscept-ibility map with a multivariate model based on likelihood ratio functions. The model is applied to the TanDEM-X DEM (0.4″ res.), the current landslide inventory of the area, and data acquired from geological maps. By comparing the distributions of four variables in the landslide and non-landslide area with grid computation methods, the model yields landslide susceptibility estimates for the study area. The estimations show to what extent a certain area is similar to the sample areas, therefore, its likelihood to be affected by landslides in the future. The accuracy of the model predictions was checked in the field and compared to the results of our previous study using the SRTM-1 DEM for a similar analysis. The model gave accurate estimates when certain correction measures were applied to the input datasets. The limitations of the model, the input datasets, and the suggested correction measures are also discussed.
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