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| Titel |
An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic |
| VerfasserIn |
L. Pulvirenti, N. Pierdicca, M. Chini, L. Guerriero |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 11, no. 2 ; Nr. 11, no. 2 (2011-02-18), S.529-540 |
| Datensatznummer |
250009165
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| Publikation (Nr.) |
 copernicus.org/nhess-11-529-2011.pdf |
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| Zusammenfassung |
| An algorithm developed to map flooded areas from synthetic aperture radar
imagery is presented in this paper. It is conceived to be inserted in the
operational flood management system of the Italian Civil Protection and can
be used in an almost automatic mode or in an interactive mode, depending on
the user's needs. The approach is based on the fuzzy logic that is used to
integrate theoretical knowledge about the radar return from inundated
areas taken into account by means of three electromagnetic scattering
models, with simple hydraulic considerations and contextual information.
This integration aims at allowing a user to cope with situations, such as
the presence of vegetation in the flooded area, in which inundation mapping
from satellite radars represents a difficult task. The algorithm is designed
to work with radar data at L, C, and X frequency bands and employs also
ancillary data, such as a land cover map and a digital elevation model. The
flood mapping procedure is tested on an inundation that occurred in Albania on
January 2010 using COSMO-SkyMed very high resolution X-band SAR data. |
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