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Proceedings Paper

Semi-automatic recognition and mapping of event-induced landslides by exploiting multispectral satellite images and DEM in a Bayesian framework
Author(s): Alessandro C. Mondini; Kang-tsung Chang; Mauro Rossi; Ivan Marchesini; Fausto Guzzetti
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Paper Abstract

Landslides occur every year in many areas of the world, causing casualties, economic and environmental losses. Landslide inventory maps are important to document the extent of the landslide phenomena in a region, for risk estimation and management, and to study landscape evolution. We present a method to facilitate the semi-automatic recognition and mapping of event induced shallow landslides. The method is based on the combination in a Bayesian framework of information extracted from High Resolution optical multispectral satellite images and Digital Elevation Models (DEM). The landslide membership probability is estimated from post-event satellite images using a supervised image classification method. The likelihood of landslide occurrence is obtained adopting a “data-driven” approach, intersecting existing landslide inventories with maps of morphometric parameters (slope and curvature) calculated from the DEM. We tested the method in the Huaguoshan basin, Taiwan, where it proved capable of detecting and mapping landslides triggered by Typhoon Morakot in August 2009. Compared to other pixel-based approaches, the method reduces significantly the typical “salt-and-pepper” effect of landslide classifications, and allows the internal classification of landslide areas in landslide source areas and landslide travel and depositional (“run out”) areas.

Paper Details

Date Published: 21 November 2012
PDF: 8 pages
Proc. SPIE 8524, Land Surface Remote Sensing, 852415 (21 November 2012); doi: 10.1117/12.977432
Show Author Affiliations
Alessandro C. Mondini, Consiglio Nazionale delle Ricerche (Italy)
Univ. degli Studi di Perugia (Italy)
Kang-tsung Chang, Kainan Univ. (Taiwan)
Mauro Rossi, Consiglio Nazionale delle Ricerche (Italy)
Univ. degli Studi di Perugia (Italy)
Ivan Marchesini, Consiglio Nazionale delle Ricerche (Italy)
Fausto Guzzetti, Consiglio Nazionale delle Ricerche (Italy)

Published in SPIE Proceedings Vol. 8524:
Land Surface Remote Sensing
Dara Entekhabi; Yoshiaki Honda; Haruo Sawada; Jiancheng Shi; Taikan Oki, Editor(s)

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