Files
Document type
ArticleVersion
Accepted versionPublication date
Publication license
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/183482
FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
Journal Title
Director/Tutor
Additional contribution
Journal ISSN
Volume Title
Abstract
Shallow slope failures triggered by rainfall commonly pose considerable risks in mountainous areas. In order to delineate areas where landslides are more prone to occur within a region, we have designed and developed a Python QGIS plugin named Fast Shallow Landslide Assessment Model (FSLAM). The plugin integrates a simplified hydrological model and a geotechnical model based on the infinite slope theory and contains two principal modules: runoff and slope stability modelling. It can output up to 15 raster maps describing the hydrological and stability conditions in a short computational time. Firstly, we explain the design of graphical user interface and the elements of the plugin. Then, the Berguedà area in NE Spain is used as case study to present the procedure of the plugin application. The results show that the accuracy of landslide susceptibility assessment performed by FSLAM-plugin is high and the computing time is only a few minutes.
Related resource
Subject
Subject (English)
Citation
Citation
GUO, Zizheng, et al. FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides. Environmental Modelling & Software. 2022. Vol. 150, num. 105354. ISSN 1364-8152. [consulted: 11 of October of 2026]. Available at: https://hdl.handle.net/2445/183482