http://www.cnr.it/ontology/cnr/individuo/prodotto/ID42880
Integration of remote sensing data and GIS for accurate mapping of flooded area (Articolo in rivista)
- Type
- Label
- Integration of remote sensing data and GIS for accurate mapping of flooded area (Articolo in rivista) (literal)
- Anno
- 2002-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1080/01431160010014729 (literal)
- Alternative label
Brivio P.A., M. Maggi, R. Colombo, R. Tomasoni (2002)
Integration of remote sensing data and GIS for accurate mapping of flooded area
in International journal of remote sensing (Print); TAYLOR & FRANCIS LTD, London (Regno Unito)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Brivio P.A., M. Maggi, R. Colombo, R. Tomasoni (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Brivio P.A., M. Maggi, R. Colombo, R. Tomasoni: CNR-IREA (literal)
- Titolo
- Integration of remote sensing data and GIS for accurate mapping of flooded area (literal)
- Abstract
- This paper gives a synergetic use of satellite radar images and ancillary
information to detect flooded areas at the peak time and evaluates its
potential with the mapping. The procedure was tested on the catastrophic
flood occurred in Regione Piemonte (Italy) in November 1994.
Two ERS-1 SAR images were processed, one acquired one month before the
flood and the other one acquired three days after the event. Visual
interpretation and two different thresholding techniques were performed.
The derived flooded maps shows only a small fraction (20%) of the actually
flooded lands because of the time delay between the flood peak and the
satellite passage. To overcome this limitation, the authors developed a new
procedure to estimate the flooded area at the peak time by integrating the
flooded area from SAR imagery with the digital topographic data by a GIS
technique. This method allowed inundated areas covering 96.7% of the
flooded area officially recorded by the local government to be mapped. The
proposed procedure is suitable for mapping flooded areas even when
satellite data are acquired some days after the inundation, thus overcoming
the constraint of the temporal resolution in the application of SAR in
hydrology. (literal)
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