From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring

Publication typeBook Chapter
Publication date2020-12-23
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ISSN26621894, 26621908
Abstract
The free availability of Sentinel-1 satellite radar images, combined with the wide-area coverage, the huge benefits-cost ratio, the short revisiting time and the non-invasiveness allows a continuous monitoring of ground displacements. In Italy, Sentinel-1-based continuous monitoring activities are operating in three regions and a possible chain for a practical use of satellite images for local authorities and civil protection operators is presented. A continuous monitoring is set up through the systematic collection of imagery and the repeated processing of each new pair acquired. The Persistent Scatterers (PS) resulting from such chain are subsequently analyzed by means of a data-mining algorithm for highlighting the points with relevant trend variations in the time series. In this way, a huge amount of data and wide areas may be monitored and temporal changes due to various phenomena could be assessed in a short time. The highlighted points, taking advantage of the surrounding PS data, are thus interpreted and classified according to a list of possible causes (e.g. accelerations of landslide or subsidence phenomena). The most relevant cases are notified to local authorities as potential active hazardous phenomena to be verified by means of field survey. A supporting scheme for the operative chain is here proposed and two case studies are presented. This operating workflow is intended to represent a standard procedure which could be applied on a national scale, aiming at the real-time monitoring of hazardous scenarios, and may be used as a guide for civil protection procedures for the risk reduction in large areas.
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Del Soldato M. et al. From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring // Understanding and Reducing Landslide Disaster Risk. 2020. pp. 411-418.
GOST all authors (up to 50) Copy
Del Soldato M., Solari L., Festa D., Confuorto P., Bianchini S., Casagli N. From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring // Understanding and Reducing Landslide Disaster Risk. 2020. pp. 411-418.
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TY - GENERIC
DO - 10.1007/978-3-030-60227-7_47
UR - https://doi.org/10.1007/978-3-030-60227-7_47
TI - From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring
T2 - Understanding and Reducing Landslide Disaster Risk
AU - Del Soldato, Matteo
AU - Solari, Lorenzo
AU - Festa, Davide
AU - Confuorto, Pierluigi
AU - Bianchini, Silvia
AU - Casagli, Nicola
PY - 2020
DA - 2020/12/23
PB - Springer Nature
SP - 411-418
SN - 2662-1894
SN - 2662-1908
ER -
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@incollection{2020_Del Soldato,
author = {Matteo Del Soldato and Lorenzo Solari and Davide Festa and Pierluigi Confuorto and Silvia Bianchini and Nicola Casagli},
title = {From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring},
publisher = {Springer Nature},
year = {2020},
pages = {411--418},
month = {dec}
}