Landslide inventory validation and susceptibility mapping in the Gerecse Hills, Hungary  

作　　者：Dávid Gerzsenyi Gáspár Albert 

机构地区：[1]Department of Cartography and Geoinformatics,Eötvös Loránd University,Budapest,Hungary

出　　处：《Geo-Spatial Information Science》2021年第3期498-508,共11页地球空间信息科学学报（英文）

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].

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The currently available landslide inventory database holds the records from many sites in the area, but the database is out-of-date.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.

关 键 词：Landslide susceptibility landslide inventory TanDEM-X Gerecse Hills LANDSLIDES GEOMORPHOMETRY 

分 类 号：P642.22[天文地球—工程地质学]