摘要
介绍了MODIS数据晴空和薄云下水体的有效识别算法——CH2/CH1比值方案,并应用于2007年淮河流域大洪水事件,选取泄洪前、泄洪期和退水期3时相的MODIS数据进行水体识别分析,有效确定洪水淹没区。利用GIS技术提取洪水淹没区土地利用信息,进一步统计安徽省沿淮县市淹没区土地利用各类型的面积,从而为区域洪水灾害评估提供参考依据。相关研究成果已在ArcGIS中建成模型,为洪水监测业务服务。
A MODIS-based algorithm, CH2/CH1 ratio method, for water identification in sunny day, under semitransparent cloud shadow is described. The method was used for water identification and submerged area identification based on the MODIS data in three phases, before, during and after the flood discharge in the flood along the Huai River Basin in 2007. Based on the information for land use of submerged area extracted by use of GIS, a statistics is made on the area of different types of land for use in the submerged area along the Huai River Basin in Anhui province. The results are referential for regional flood disaster assessment. The related results are modeled in ArcGIS for serving flood monitoring.
出处
《灾害学》
CSCD
2010年第4期22-26,共5页
Journal of Catastrophology
基金
淮河流域气象开放研究基金(200609)
安徽省国际科技合作项目(07080703005)