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Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): the Setta basin (Italy) case study

Authors :
Frangioni Sara
Bianchini Silvia
Moretti Sandro
Source :
Geomatics, Natural Hazards & Risk, Vol 6, Iss 5-7, Pp 419-438 (2015)
Publication Year :
2015
Publisher :
Taylor & Francis Group, 2015.

Abstract

This paper illustrates the contribution of Persistent Scatterer SAR Interferometry (PSInSAR) technique to landslide detection, using interferometric data acquired in C-band by European remote-sensing satellite (ERS) 1/2 and environmental satellite (ENVISAT) satellites. The main purpose is to update a pre-existing landslide inventory map, by changing or confirming the landslide geometry and state of activity and eventually, identifying new phenomena.This work presents an application of satellite remote sensing to analyse ground displacement movements in the Setta basin, located on the northern Appennine (Bologna province, Italy) and extended up 268 km2.The proposed methodology, resting upon pre-existing works already consolidated in the scientific community, combines interferometric measures with aerial imagery and other auxiliary data, in order to detect landslide indicators, finally validated with field surveys. The use of an activity matrix allows the identification of the state of activity of landslide phenomena with respect to the velocity of the radar displacement rates. Field validations are carried out in the areas that are more relevant because of the highest ground velocities and the presence of structures extensively affected by ground movements.The final updated landslide database of the Setta basin, based on Persistent Scatterer Interferometry analysis and in situ checks, consists of 1550 landslides, 236 of which have persistent scatterer information.

Details

Language :
English
ISSN :
19475705 and 19475713
Volume :
6
Issue :
5-7
Database :
Directory of Open Access Journals
Journal :
Geomatics, Natural Hazards & Risk
Publication Type :
Academic Journal
Accession number :
edsdoj.9dd28230f71c496d9339dbf6f0c8d3ed
Document Type :
article
Full Text :
https://doi.org/10.1080/19475705.2013.866985