Publication Date:
2017
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.
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.
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
A-DInSAR; Landslides; Piedmont
List of contributors:
Bonì, Roberta; Bordoni, Massimiliano; Meisina, Claudia; Colombo, Alessio; Lanteri, Luca
Book title:
Advancing culture of living with landslides