Monitoring the evolution of surface water extent may be crucial to prevent and promptly manage flood and drought events. This research proposes an operational semi-automatic methodology for surface water extraction at a synoptic scale, based on free satellite data and implemented with free and open source software. The proposed methodology takes advantage of the availability of free and frequent microwave and multi-spectral information acquired by the recently operational Sentinel-1 and Sentinel-2 ESA’s missions. By integrating the two data sources the method aims to overtake some of the innate biases that can affect the single-source surface water extraction: geometric and radiometric radar effects, e.g. shadows and speckle, and optical lack of information due to cloud cover. Two case studies were chosen: one in North Africa and one in Europe. In order to validate the proposed methodology, “ground truth” water bodies were derived by visual interpretation and manually extracted.

Sentinel-1 and Sentinel-2 imaging for reference water extraction and monitoring / Sandu, Constantin; Vassileva, MAGDALENA STEFANOVA; Boccardo, Piero; Disabato, Franca. - ELETTRONICO. - Vol. 19:(2017). ((Intervento presentato al convegno European Geosciences Union General Assembly 2017 tenutosi a Vienna nel 23–28 April 2017.

Sentinel-1 and Sentinel-2 imaging for reference water extraction and monitoring

SANDU, CONSTANTIN;VASSILEVA, MAGDALENA STEFANOVA;BOCCARDO, PIERO;DISABATO, FRANCA
2017

Abstract

Monitoring the evolution of surface water extent may be crucial to prevent and promptly manage flood and drought events. This research proposes an operational semi-automatic methodology for surface water extraction at a synoptic scale, based on free satellite data and implemented with free and open source software. The proposed methodology takes advantage of the availability of free and frequent microwave and multi-spectral information acquired by the recently operational Sentinel-1 and Sentinel-2 ESA’s missions. By integrating the two data sources the method aims to overtake some of the innate biases that can affect the single-source surface water extraction: geometric and radiometric radar effects, e.g. shadows and speckle, and optical lack of information due to cloud cover. Two case studies were chosen: one in North Africa and one in Europe. In order to validate the proposed methodology, “ground truth” water bodies were derived by visual interpretation and manually extracted.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2677839
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