Fuzzy Technique Based Flooding Hazard Measurement using remote sensing image attributes

An information fusion approach based on the fuzzy subset theory is proposed in this article for the appraisal of hazard worsening factors. This approach considers attributes of vulnerability degree coming from remote sensing data attributes: the distance (to the river, to a drain, or to the coast), the altitude and an index of urban area/nonurban area. Then, a vulnerability map is produced by combining these attributes by fuzzy linguistic rules obtained from expertise. The proposed approach is illustrated in the city of Douala (Cameroon) and results are compared to previous floodings maps