<i>Geohazard</i> Plugin: A QGIS Plugin for the Preliminary Analysis of Landslides at Medium–Small Scale

<i>Geohazard</i> Plugin: A QGIS Plugin for the Preliminary Analysis of Landslides at Medium–Small Scale

Landslides are a major global threat, endangering lives, infrastructure, and economies. This paper introduces the <i>Geohazard</i> plugin, an open-source tool for QGIS, designed to support medium–small-scale landslide analysis and management. The plugin integrates several algorithms, inc...

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Bibliographic Details
Main Authors: Marta Castelli, Andrea Filipello, Claudio Fasciano, Giulia Torsello, Stefano Campus, Rocco Pispico
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Land
Subjects:
land management
landslides assessment
open-source
GIS-based tools
<i>Geohazard</i> plugin
Online Access:https://www.mdpi.com/2073-445X/14/2/290
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Summary:Landslides are a major global threat, endangering lives, infrastructure, and economies. This paper introduces the <i>Geohazard</i> plugin, an open-source tool for QGIS, designed to support medium–small-scale landslide analysis and management. The plugin integrates several algorithms, including the <i>Groundmotion–C index</i> for evaluating SAR data reliability, <i>Landslide–Shalstab</i> for assessing shallow landslide susceptibility, and <i>Rockfall–Droka</i> for estimating rockfall invasion areas and the rockfall relative (spatial) hazard. An application example is provided for each module to facilitate validation and discussion. A case study from the Western Italian Alps highlights the practical application of the <i>Rockfall–Droka</i> modules, showcasing their potential to identify critical zones by integrating the results on affected areas, process intensity, and preferential paths. Emphasis is given to the calibration of model parameters, a critical aspect of the analysis, achieved through a back-analysis of a rockfall event that occurred in June 2024. The <i>Geohazard</i> plugin streamlines geohazard assessments, providing land managers with actionable insights for decision-making and risk mitigation strategies. This user-friendly GIS tool contributes to enhancing resilience in landslide-prone regions.
ISSN:2073-445X

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