Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy

Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy

Predicting the spatial and temporal occurrence of rainfall triggered landslides represents an important scientific and operational issue due to the high threat that they pose to human life and property. This study investigates the relationship between rainfall, soil moisture conditions and landslide...

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Bibliographic Details
Main Authors: Wolfgang Wagner, Luca Brocca, Francesco Ponziani, Tommaso Moramarco, Florisa Melone, Nicola Berni
Format: Article
Language:English
Published: MDPI AG 2012-05-01
Series:Remote Sensing
Subjects:
soil moisture
shallow landslides
remote sensing
ASCAT
Online Access:http://www.mdpi.com/2072-4292/4/5/1232

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