An important application of differential SAR interferometry (DInSAR) and Persistent Scatterer Interferometry is landslide detection and monitoring. Several studies have been published, which make use of the entire spectrum of SAR data types available in the last 25 years. This paper describes a procedure to update landslide inventory maps using Sentinel-1 data. The paper briefly discusses the main advantages of the Sentinel-1 SAR data. Then it describes the data analysis procedure used to update landslide inventory maps using interferometric data and a number of additional information layers. The effectiveness of the procedure is illustrated by the results of a study area located in the Molise region, in Southern Italy.
Landslide inventory and monitoring using Sentinel-1 SAR imagery / O. Monserrat, M. Crosetto, N. Devanthéry, M. Cuevas González, A. Barra, B. Crippa (ESA SP). - In: European Space Agency, (Special Publication) ESA SP[s.l] : European Space Agency, 2016. - ISBN 9789292213053. - pp. 1-4 (( convegno Living Planet Symposium tenutosi a Prague nel 2016.
Landslide inventory and monitoring using Sentinel-1 SAR imagery
B. CrippaUltimo
2016
Abstract
An important application of differential SAR interferometry (DInSAR) and Persistent Scatterer Interferometry is landslide detection and monitoring. Several studies have been published, which make use of the entire spectrum of SAR data types available in the last 25 years. This paper describes a procedure to update landslide inventory maps using Sentinel-1 data. The paper briefly discusses the main advantages of the Sentinel-1 SAR data. Then it describes the data analysis procedure used to update landslide inventory maps using interferometric data and a number of additional information layers. The effectiveness of the procedure is illustrated by the results of a study area located in the Molise region, in Southern Italy.| File | Dimensione | Formato | |
|---|---|---|---|
|
Binder1.pdf
accesso riservato
Tipologia:
Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione
595.7 kB
Formato
Adobe PDF
|
595.7 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.




