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Étude du risque d'inondation en aval du Delta du Fleuve Rouge en utilisant la télédétection et les SIG le cas du district de Bac Hung Hai

The Bac Hung Hai zone is the greatest basin in the Red River Delta in Vietnam and also one of the most densely populated regions of the planet. It is mainly a rural region and its economy is dominated by agriculture. In the context of frequent and larger floods in the Bac Hung Hai zone, causing deep socio-economical consequences, the focus of this study is to establish cartography of the high risk areas for flooding in the Bac Hung Hai region using remote sensing and GIS to assist land management. The preparation of a map describing land management in this region is more complicated because parcels for farming are very small and not homogeneous. A consistent and precise map of land use is essential for studies of flooding. The secondary objective is to improve the land use map. To this effect, a classification has been applied to the combination of the spectral bands and textures (TM and ETM[indice supérieur +]) of Landsat and a radar image (ERS). The addition of this information to the spectral bands increases the accuracy of classification by 1% to 4%, according to the dates selected. Additionally, in the study zone where there are few days without clouds, a problem related to the optical satellite image is the cloud cover. Then, the use of radar images will provide ground information for areas hidden by clouds where spectral images are not sufficient. To reach these goals, we have determined the main biophysical considerations that influence flooding. Then, these considerations have been combined in a multi-criteria analysis to evaluate the risks of flooding in the entire basin area. The results show that high to very high risks affect 47% of the area studied and that the south-east region, center, and north-east present the greatest risk.

Identiferoai:union.ndltd.org:usherbrooke.ca/oai:savoirs.usherbrooke.ca:11143/2769
Date January 2008
CreatorsBui, Duc Viet
ContributorsGoïta, Kalifa
PublisherUniversité de Sherbrooke
Source SetsUniversité de Sherbrooke
LanguageFrench
Detected LanguageEnglish
TypeThèse
Rights© Duc Viet Bui

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