B&#233

Barra, A.

Bianchini, Silvia

Crosetto, M.

Herrera, G.

Mar&#237

Monserrat, O.

Moretti, Sandro

Sarro, R.

Solari, Lorenzo

English

Florence Research

Geophysical Research AbstractsVol. 19, EGU2017-14203, 2017EGU General Assembly 2017© Author(s) 2017. CC Attribution 3.0 License.Sentinel-1 data exploitation for geohazard activity map generationAnna Barra (1), Lorenzo Solari (2), Marta Béjar-Pizarro (3), Oriol Monserrat (1), Gerardo Herrera (3), SilviaBianchini (2), Michele Crosetto (1), Rosa María Mateos (4), Roberto Sarro (3), and Sandro Moretti (2)(1) Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Castelldefels, Spain(anna.barra@cttc.es)), (2) University of Firenze, Earth Sciences Department, Firenze, Italy, (3) Geological Survey of Spain(IGME), Geoscience Research Department, Madrid, Spain, (4) Geological Survey of Spain (IGME), Granada, SpainThis work is focused on geohazard mapping and monitoring by exploiting Sentinel-1 (A and B) data and theDInSAR (Differential interferometric SAR (Synthetic Aperture Radar)) techniques. Sometimes the interpretationof the DInSAR derived product (like the velocity map) can be complex, mostly for a final user who do not usuallyworks with radar. The aim of this work is to generate, in a rapid way, a clear product to be easily exploited bythe authorities in the geohazard management: intervention planning and prevention activities. Specifically, thepresented methodology has been developed in the framework of the European project SAFETY, which is aimedat providing Civil Protection Authorities (CPA) with the capability of periodically evaluating and assessing thepotential impact of geohazards (volcanic activity, earthquakes, landslides and subsidence) on urban areas. Themethodology has three phases, the interferograms generation, the activity map generation, in terms of velocity andaccumulated deformation (with time-series), and the Active Deformation Area (ADA) map generation. The lastone is the final product, derived from the original activity map by analyzing the data in a Geographic InformationSystem (GIS) environment, which isolate only the true deformation areas over the noise. This product can bemore easily read by the authorities than the original activity map, i.e. can be better exploited to integrate otherinformation and analysis. This product also permit an easy monitoring of the active areas.

Sentinel-1 data exploitation for geohazard activity map generation

https://flore.unifi.it/bitstream/2158/1094421/1/Barra%20et%20al%20GRA%20vol19%20EGU%202017.pdf

Sentinel-1 data exploitation for geohazard activity map generation

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