Rapid response for flood detection implementing the RST approach on MSG/SEVIRI data (Contributo in atti di convegno)

Type
Label
  • Rapid response for flood detection implementing the RST approach on MSG/SEVIRI data (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/IGARSS.2012.6351412 (literal)
Alternative label
  • Faruolo M., Ciancia E., Coviello I., Lacava T., Pergola N., Tramutoli V. (2012)
    Rapid response for flood detection implementing the RST approach on MSG/SEVIRI data
    in 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Munich, GERMANY, Munich;22 July 2012through27 July 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Faruolo M., Ciancia E., Coviello I., Lacava T., Pergola N., Tramutoli V. (literal)
Pagina inizio
  • 907 (literal)
Pagina fine
  • 910 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • IGARSS 2012 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IMAA, Institute of Methodologies for Environmental Analysis (IMAA), National Research Council, C.da S. Loja, 85050 Tito Scalo, Italy. Department of Engineering and Physics of the Environment (DIFA), University of Basilicata, Via dell'Ateneo Lucano, 10, 85100 Potenza, Italy. (literal)
Titolo
  • Rapid response for flood detection implementing the RST approach on MSG/SEVIRI data (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4673-1160-1 (literal)
Abstract
  • Floods are one of the most catastrophic natural disasters around the globe, impacting human lives and infrastructures. Mainly because of climate change, floods will occur with increasingly frequency and intensity in the future, threatening many regions of the world. In such context, a system able to give early and frequently updated information about the areas involved by floods is crucial to manage flood risk in the crisis and post-crisis emergency phases. In this paper the potential of a general and automatic methodology, named Robust Satellite Techniques (RST), has been tested when implemented on Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) daytime data, to have a satellite reliable tool for a rapid detection of flooded areas. In this paper results achieved applying such an approach to study the Berg river flood, occurred in the South Africa Cape Town region in July 2007, are shown and discussed. (literal)
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