Landslide detection and susceptibility mapping are crucial in risk management and urban planning.
Constant advance in digital elevation models accuracy and availability, the prospect of automatic
landslide detection, together with variable processing techniques, stress the need to assess the
effect of differences in input data on the landslide susceptibility maps accuracy. Studies conducted by dr. Krzysztof Gaidzik from our institute and Prof. María Teresa Ramírez-Herrera from UNAM, Mexico, and published in Scientific Reports, demonstrate the importance of input data, resolution of digital elevation models, inventorying method and sampling procedure. In general, the most congruous input data and techniques need to be chosen depending on the data quality and purpose of the study.
Gaidzik, K., Ramírez-Herrera, M.T., 2021. The importance of input data on landslide susceptibility mapping. Scientific Reports 11, 19334. https://doi.org/10.1038/s41598-021-98830-y
