A systematic and reproducible methodology to analyze multi-sensors advanced satellite radar differential interferometry (A-DInSAR) data for identifying ground motion areas and for updating landsides inventories is proposed. We apply the methodology in a wide area of north-western Italy, corresponding to Piedmont region that is affected by different landslides. We use satellites images acquired, in ascending and descending acquisition geometry, by C-band (ERS ½ and ENVISAT, RADARSAT) and X-band (COSMO-SkyMed) sensors and processed using SqueeSAR™, PSInSAR™ and PSP-IfSAR techniques. Landslides characterized by linear and non-linear behavior were recognized.

Integration of Multi-sensor A-DInSAR Data for Landslide Inventory Update

Bonì, Roberta;
2017-01-01

Abstract

A systematic and reproducible methodology to analyze multi-sensors advanced satellite radar differential interferometry (A-DInSAR) data for identifying ground motion areas and for updating landsides inventories is proposed. We apply the methodology in a wide area of north-western Italy, corresponding to Piedmont region that is affected by different landslides. We use satellites images acquired, in ascending and descending acquisition geometry, by C-band (ERS ½ and ENVISAT, RADARSAT) and X-band (COSMO-SkyMed) sensors and processed using SqueeSAR™, PSInSAR™ and PSP-IfSAR techniques. Landslides characterized by linear and non-linear behavior were recognized.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11576/2695639
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