Characterizing flood hazard risk in data-scarce areas, using a remote sensing and GIS-based flood hazard index
作者: Martin KabengeJoshua ElaruHongtao WangFengting Li
作者单位: 1Tongji University
刊名: Natural Hazards, 2017, Vol.89 (3), pp.1369-1387
来源数据库: Springer Nature Journal
DOI: 10.1007/s11069-017-3024-y
关键词: Flood hazard indexRemote sensingData-scarce areasAnalytical hierarchy process
原始语种摘要: The frequency in occurrence and severity of floods has increased globally. However, many regions around the globe, especially in developing countries, lack the necessary field monitoring data to characterize flood hazard risk. This paper puts forward methodology for developing flood hazard maps that define flood hazard risk, using a remote sensing and GIS-based flood hazard index (FHI), for the Nyamwamba watershed in western Uganda. The FHI was compiled using analytical hierarchy process and considered slope, flow accumulation, drainage network density, distance from drainage channel, geology, land use/cover and rainfall intensity as the flood causative factors. These factors were derived from Landsat, SRTM and PERSIANN remote sensing data products, except for geology that requires field...
全文获取路径: Springer Nature  (合作)
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影响因子:1.639 (2012)

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关键词翻译
关键词翻译
  • flood 洪水
  • hazard 危险
  • sensing 感觉
  • remote 遥控的
  • index 指标
  • scarce 缺乏
  • methodology 方法学
  • monitoring 监视
  • event 事件
  • GIS General Information System