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摘要:
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 (Comoé River) and at low altitudes. These are Moossou, Petit Paris, Quartier Phare and Quartier France.
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篇名 Exploitation of Satellite Data for the Mapping of Areas at Risk of Flooding in Grand-Bassam (Côte d’Ivoire)
来源期刊 遥感技术进展(英文) 学科 医学
关键词 Remote Sensing Hazard VULNERABILITY Flood Risk Grand-Bassam
年,卷(期) 2020,(4) 所属期刊栏目
研究方向 页码范围 117-126
页数 10页 分类号 R61
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研究主题发展历程
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Remote
Sensing
Hazard
VULNERABILITY
Flood
Risk
Grand-Bassam
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引文网络交叉学科
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期刊影响力
遥感技术进展(英文)
季刊
2169-267X
武汉市江夏区汤逊湖北路38号光谷总部空间
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148
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