In this paper, the updating of the landslide inventory of Tuscany region is presented. To achieve this goal, satellite SAR data processed with persistent scatter interferometry (PSI) technique have been used. The updating leads to a consistent reduction of unclassified landslides and to an increasing of active landslides. After the updating, we explored the characteristics of the new inventory, analysing landslide distribution and geomorphological features. Several maps have been elaborated, as sliding index or landslide density map; we also propose a density-area map to highlight areas with different landslide densities and sizes. A frequency-area analysis has been performed, highlighting a classical negative power-law distribution. We also explored landslide frequency for lithology, soil use and several morphological attributes (elevation, slope gradient, slope curvature), considering both all landslides and classified landslide types (flows, falls and slides).

The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution / Rosi A.; Tofani V.; Tanteri L.; Tacconi Stefanelli C.; Agostini A.; Catani F.; Casagli N.. - In: LANDSLIDES. - ISSN 1612-510X. - STAMPA. - 15(1):(2018), pp. 5-19. [10.1007/s10346-017-0861-4]

The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution

Rosi A.;Tofani V.;Tanteri L.;Tacconi Stefanelli C.;Agostini A.;Catani F.;Casagli N.
2018

Abstract

In this paper, the updating of the landslide inventory of Tuscany region is presented. To achieve this goal, satellite SAR data processed with persistent scatter interferometry (PSI) technique have been used. The updating leads to a consistent reduction of unclassified landslides and to an increasing of active landslides. After the updating, we explored the characteristics of the new inventory, analysing landslide distribution and geomorphological features. Several maps have been elaborated, as sliding index or landslide density map; we also propose a density-area map to highlight areas with different landslide densities and sizes. A frequency-area analysis has been performed, highlighting a classical negative power-law distribution. We also explored landslide frequency for lithology, soil use and several morphological attributes (elevation, slope gradient, slope curvature), considering both all landslides and classified landslide types (flows, falls and slides).
2018
15(1)
5
19
Rosi A.; Tofani V.; Tanteri L.; Tacconi Stefanelli C.; Agostini A.; Catani F.; Casagli N.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1094417
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