Exploitation of Satellite Data for the Mapping of Areas at Risk of Flooding in Grand-Bassam (Côte d’Ivoire)

ARS Pub Date : 2020-12-29 DOI:10.4236/ars.2020.94007
K. Kouassi, Z. A. Kouadio, A. Konan-Waidhet, A. Affessi, K. Kouassi
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引用次数: 1

Abstract

In order to better identify spatially the areas at risk of flooding for the riparian populations of Grand-Bassam during strong floods, a study aimed at developing hazard and vulnerability maps from RADAR Sentinel-1 and optical images Sentinel-2 has been put in place. The flood hazard study highlighted the flooded areas in Grand-Bassam. These areas represent 747.7 ha, or 1.02% of the total surface. The vulnerability map produced using the maximum likelihood method identified eight (8) land use classes. These are the classes Water, Dense forest, Secondary forest, Swamp forest, Industrial crops, Food crops, Habitats and bare soils. It made it possible to highlight the socio-economic interests of Grand-Bassam. The flood risk map developed from the intersection of the themes of the vulnerability map and that of the hazard has enabled the recognition of risk areas which are located near the source of the risk (Comoe River) and at low altitudes. These are Moossou, Petit Paris, Quartier Phare and Quartier France.
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利用卫星数据绘制大巴萨姆有洪水危险地区的地图(Côte科特迪瓦)
为了在强洪水期间更好地在空间上为Grand-Bassam沿岸人口确定有洪水风险的地区,一项旨在利用RADAR Sentinel-1和光学图像Sentinel-2开发危险和脆弱性地图的研究已经实施。洪水灾害研究强调了巴萨姆邦的洪水地区。这些区域占747.7公顷,占总面积的1.02%。使用最大似然法生成的脆弱性地图确定了八(8)个土地利用类别。它们是水、茂密森林、次生林、沼泽森林、工业作物、粮食作物、栖息地和裸露土壤。这使得突出巴萨姆邦的社会经济利益成为可能。洪水风险地图由脆弱性地图和灾害主题的交叉发展而来,能够识别位于风险源附近(科莫河)和低海拔地区的风险区域。它们是穆苏、小巴黎、法尔区和法兰西区。
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来源期刊
ARS
ARS
CiteScore
0.10
自引率
0.00%
发文量
8
审稿时长
12 weeks
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