Landslide Susceptibility Map of the Northwestern Gerecse Hills (Hungary)

Supplementary material for Gerzsenyi and Albert (in press).<br>We created the Landslide Susceptibility of the Northern Gerecse Hills using Chung's (2006) likelihood ratio function model. The input datasets were the TanDEM-X DEM (12 m), the Hungarian National Landslides Cadastre landslide inventory and the Geological Map of Hungary (1 : 100 000). The model partitions the study area into a landslide and non-landslide part, then computes the distributions of the analysed variables for both the landslide and non-landslide area. By comparing the distributions of the analysed 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 estimated landslide susceptibility is given in a percentile form in this raster.Value X means that X% of the total cells has lower susceptibility than the cell with value X. Areas with higher susceptibility values are relatively more prone to landsliding than areas with lower susceptibility values. Susceptibility values range from 1 to 100.<br>Contents:1. Susceptibility raster:GD-AG_TGSI-2018-0047_susceptibility_map_percentiles_12m.tif<br>Resolution: 12 mCRS: EPSG: 23700 - HD72 / EOVWest: 593870.3272East: 608714.3272South: 259582.8811North: 269278.8811<br><br>2. Metadata (QGIS 3):GD-AG_TGSI-2018-0047_susceptibility_map_percentiles_12m.qmd<br><br>Acknowledgement:The TanDEM-X data was provided by the German Aerospace Center (DLR). © DLR – 2017. The study was supported by the ÚNKP-17-2 New National Excellence Program of the Ministry of Human Capacities, Hungary. This research was partly supported by the Thematic Excellence Programme, Industry and Digitization Subprogramme, NRDI Office, 2019 – Project no. ED_18-1-2019-0030.<br>References:Chung, C. 2006. “Using Likelihood Ratio Functions for Modeling the Conditional Probability of Occurrence of Future Landslides for Risk Assessment.” <i>Computers &amp; Geosciences</i> 32: 1052–1068. doi:10.1016/j.cageo.2006.02.003<br> Gerzsenyi, D. and Albert, G. (in press) "Landslide inventory validation and susceptibility mapping in the Gerecse Hills, Hungary." <i>Geo-spatial Information Science</i>.