The potentialities of Sentinel-1 in geohazard detection and monitoring, at a regional-to-local scale, have been demonstrated in the last two years. Nevertheless, the interpretation of the DInSAR derived products (like the deformation velocity maps) can be complex and misleading, mostly for a final user who is not familiar with the DInSAR technology. For this reason, the DInSAR is still not integrated in the existing risk management and monitoring structures as a constant and periodical complementary input. In this work, we present a semi-automatic methodology, developed in the framework of the European Project SAFETY, to simplify the interpretation and the practical use of the DInSAR derived results in the risk management at a regional scale. The methodology extracts and resumes the main information of the most significant detected Active Deformation Areas (ADA). In this work, the methodology is explained and its application to landslides detection and monitoring is presented by showing some cases of study in Italy and Spain.

A Semi-Automatic method to periodically detect and update active landslides from Sentinel-1 data / Barra A.; Monserrat O.; Solari L.; Herrera G.; Bianchini S.; Sarro R.; Ligüerzana S.; Gonzalez-Alonso E.. - In: GEOPHYSICAL RESEARCH ABSTRACTS. - ISSN 1607-7962. - ELETTRONICO. - 20:(2018), pp. 6390-6390.

A Semi-Automatic method to periodically detect and update active landslides from Sentinel-1 data

Solari L.;Bianchini S.;
2018

Abstract

The potentialities of Sentinel-1 in geohazard detection and monitoring, at a regional-to-local scale, have been demonstrated in the last two years. Nevertheless, the interpretation of the DInSAR derived products (like the deformation velocity maps) can be complex and misleading, mostly for a final user who is not familiar with the DInSAR technology. For this reason, the DInSAR is still not integrated in the existing risk management and monitoring structures as a constant and periodical complementary input. In this work, we present a semi-automatic methodology, developed in the framework of the European Project SAFETY, to simplify the interpretation and the practical use of the DInSAR derived results in the risk management at a regional scale. The methodology extracts and resumes the main information of the most significant detected Active Deformation Areas (ADA). In this work, the methodology is explained and its application to landslides detection and monitoring is presented by showing some cases of study in Italy and Spain.
2018
Barra A.; Monserrat O.; Solari L.; Herrera G.; Bianchini S.; Sarro R.; Ligüerzana S.; Gonzalez-Alonso E.
File in questo prodotto:
File Dimensione Formato  
Barra et al GRA vol 20EGU 2018.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 32.71 kB
Formato Adobe PDF
32.71 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1144763
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact