Combining multi-typologies landslide susceptibility maps
A case study for the Visso area (central Italy)
Bibliographic Data
| ID | 16840757 |
|---|---|
| Authors | Chiara Martinello (0000-0001-9527-487X, University of Palermo), Margherita Bufalini (0000-0003-3278-7058, Università di Camerino, corresponding author), Chiara Cappadonia (0000-0002-5119-3004, University of Palermo), Edoardo Rotigliano (0000-0002-1072-3160, University of Palermo), Marzia Materazzi (0000-0002-9480-5680, Università di Camerino) |
| Year | 2023 |
| Volume | 19 |
| Issue | 1 |
| Publication date | 2023-12-31 |
| 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 | 10.1080/17445647.2023.2198148 |
| OpenAlex | W4366465509 |
| Language | EN |
| Citations received | 1 |
| References cited | 51 |
The research proposes a simple but geomorphologically adequate method to produce a combined landslide susceptibility map. In fact, in a logic of real use, offering type-specific landslide susceptibility maps to land use planners and administration could be not a successful solution. On the other hand, the simple grouping of more types of landslides could be misleading for model calibration considering that the relationships between slope failures and geo-environmental predictors should be conveyed by the abundance of each type of landslide resulting not specific and diagnostic for each typology. In this test, after having produced independent models for flow, slide and complex landslide by exploiting MARS (Multivariate Adaptive Regression Splines) and a set of type-specific geo-environmental variables, a combined landslide susceptibility map was obtained by combining the scores of the three source maps. The combined map was finally validated with a new unknown archive, showing very good performances
Calibration · Cartography · Data mining · Geography · Geomorphology · Landslide · Machine learning · Mars Exploration Program · Multivariate adaptive regression splines · Multivariate statistics · Regression analysis · Statistics · Computer Science · Cryospheric studies and observations · Landslides and related hazards · Mathematics · Soil erosion and sediment transport · Geology
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |