A Methodology to Detect and Update Active Deformation Areas Based on Sentinel-1 SAR Images


Por: Barra A., Solari L., Béjar-Pizarro M., Monserrat O., Bianchini S., Herrera G., Crosetto M., Sarro R., González-Alonso E., Mateos R.M., Ligüerzana S., López C., Moretti S.

Publicada: 1 oct 2017
Categoría: Earth and planetary sciences (miscellaneous)

Resumen:
This work is focused on deformation activity mapping and monitoring using Sentinel-1 (S-1) data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique. The main goal is to present a procedure to periodically update and assess the geohazard activity (volcanic activity, landslides and ground-subsidence) of a given area by exploiting the wide area coverage and the high coherence and temporal sampling (revisit time up to six days) provided by the S-1 satellites. The main products of the procedure are two updatable maps: the deformation activity map and the active deformation areas map. These maps present two different levels of information aimed at different levels of geohazard risk management, from a very simplified level of information to the classical deformation map based on SAR interferometry. The methodology has been successfully applied to La Gomera, Tenerife and Gran Canaria Islands (Canary Island archipelago). The main obtained results are discussed.

Filiaciones:
Barra A.:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Castelldefels, 08860, Spain

Solari L.:
 Earth Sciences Department, University of Firenze, Via La Pira, 4, Firenze, I-50121, Italy

Béjar-Pizarro M.:
 Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Alenza 1, Madrid, 28003, Spain

Monserrat O.:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Castelldefels, 08860, Spain

Bianchini S.:
 Earth Sciences Department, University of Firenze, Via La Pira, 4, Firenze, I-50121, Italy

Herrera G.:
 Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Alenza 1, Madrid, 28003, Spain

Crosetto M.:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Castelldefels, 08860, Spain

Sarro R.:
 Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Alenza 1, Madrid, 28003, Spain

González-Alonso E.:
 Centro Nacional de Información Geográfica, Instituto Geográfico Nacional, C/General Ibáñez de Ibero, 3, Madrid, 28003, Spain

Mateos R.M.:
 Geological Survey of Spain (IGME), Urb. Alcázar del Genil, 4-Edif. Bajo, Granada, 18006, Spain

Ligüerzana S.:
 Centro Nacional de Información Geográfica, Instituto Geográfico Nacional, C/General Ibáñez de Ibero, 3, Madrid, 28003, Spain

López C.:
 Centro Nacional de Información Geográfica, Instituto Geográfico Nacional, C/General Ibáñez de Ibero, 3, Madrid, 28003, Spain

Moretti S.:
 Earth Sciences Department, University of Firenze, Via La Pira, 4, Firenze, I-50121, Italy
ISSN: 20724292





Remote Sensing
Editorial
MDPI Multidisciplinary Digital Publishing Institute, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 9 Número: 10
Páginas:
WOS Id: 000414650600032
imagen Green Published, gold, Green Submitted, All Open Access; Gold Open Access; Green Open Access

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