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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Acknowledgements
The work was developed in the framework of the Project “Servizio di aggiornamento del SifraP, 2016 (Sistema Informativo Frane in Piemonte) finalizzato alla definizione della pericolosità da frana mediante analisi di dati d’archivio, fotointerpretazione ed analisi di dati di interferometria satellitare”. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.
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Bonì, R., Bordoni, M., Meisina, C., Colombo, A., Lanteri, L. (2017).
Integration of Multi-sensor A-DInSAR Data for Landslide Inventory Update.
In: Mikos, M., Tiwari, B., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53498-5_16
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DOI: https://doi.org/10.1007/978-3-319-53498-5_16
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