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;Bordoni, Massimiliano;Meisina, Claudia;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
