Landslide susceptibility of the Prato–Pistoia–Lucca provinces, Tuscany, Italy
Bibliographic Data
| ID | 16839952 |
|---|---|
| Authors | Samuele Segoni (0000-0002-6030-1046, University of Florence), Veronica Tofani (0000-0003-2622-2034, University of Florence), Daniela Lagomarsino (University of Florence), Sandro Moretti (0000-0002-1167-2721, University of Florence, corresponding author) |
| Year | 2016 |
| Volume | 12 |
| Issue | sup1 |
| Pages | 401-406 |
| Publication date | 2016-11-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Maps (JOURNAL) |
| Journal identifiers | ISSN: 1744-5647 • E-ISSN: 1744-5647 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/17445647.2016.1233463 |
| OpenAlex | W2526656021 |
| Language | EN |
| Citations received | 4 |
| References cited | 27 |
We mapped landslide susceptibility in the provinces of Lucca, Pistoia and Prato (central Italy), a 3103 km2 territory that approximately corresponds to the portion of Tuscany principally affected by landslides. We used a methodology based on a treebagger random forest. The input parameters used for the susceptibility assessment are curvature, flow accumulation, topographic wetness index, elevation, profile curvature, planar curvature, slope gradient, aspect, land use and lithology. The map was validated providing satisfactory results (AUC = 0.84). The map classifies the study area into four susceptibility classes that identify areas with different probabilities of being affected by landslides. The Main Map represents a useful instrument to assist land planning, development of mitigation measures and landslide risk management. Moreover, it could be used in further research addressing quantitative hazard and risk assessment
Cartography · Geography · Geomorphology · Landslide · Lithology · Physical geography · Topographic Wetness Index · Fire effects on ecosystems · Landslides and related hazards · Tree Root and Stability Studies · Geology · Paleontology
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| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |