2009
DOI: 10.1007/s11554-009-0114-4
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Near real-time SAR-based processing to support flood monitoring

Abstract: Earth Observation has proven to be a synoptic and objective source of information to derive crisis and damage maps. In case of flood events, often characterized by weather conditions which prevent the possibility of exploiting data acquired by optical sensors, synthetic aperture radar (SAR) sensors become the only space-born source of information due to their all-weather capability. In order to assure the delivery of damage maps as soon as possible after a disaster, the access and the exploitation of SAR data … Show more

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Cited by 38 publications
(16 citation statements)
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“…The use of RGB composition in multi-temporal SAR image analysis has been already presented for flood mapping [28,29]. However, there has rarely been a study on RGB composition for azimuth ambiguities [11].…”
Section: Rgb Composition Methods For Azimuth Ambiguitiesmentioning
confidence: 99%
“…The use of RGB composition in multi-temporal SAR image analysis has been already presented for flood mapping [28,29]. However, there has rarely been a study on RGB composition for azimuth ambiguities [11].…”
Section: Rgb Composition Methods For Azimuth Ambiguitiesmentioning
confidence: 99%
“…The appropriateness of the ASAR data for flood mapping and herbaceous wetlands monitoring has been widely reported. Some examples can be found in [28][29][30][31][32][33][34].…”
Section: Envisat/asar Imagerymentioning
confidence: 99%
“…However, as far as is known, operational systems for near real-time supply of geo-located high resolution SAR data to users (analogous to ESA-ESRIN's FAIRE system for ASAR/ERS-2 data, which delivers processed geo-registered images to users in about three hours (Cossu et al, 2009)) have still to be developed. In order to ensure that a SAR image was obtained in near real-time, it would be necessary to minimise the time delay between an overpass and the production of the resulting SAR flood extent.…”
Section: Near Real-time Flood Detection In Urban and Rural Areas Usinmentioning
confidence: 99%