摘要
以MODIS反射率产品为数据源,分别采用NDVI法、谱间关系算法和水体指数法估算2011年11月2-9日泰国洪涝的受灾区域,并结合MODIS土地覆盖类型产品进行受灾区域分析。研究表明:采用改进的归一化水体指数提取泰国洪涝受灾区域准确性最高;作物是泰国受灾区域中面积最大的土地覆盖类型,达到了36.360%,主要分布在曼谷周边的中部地区,也是泰国最主要的作物分布区;MODIS数据用于提取洪涝受灾区域准确性较高,且具有较高的时间分辨率,可以在洪涝灾害中有效应用,迅速进行灾情评估。
We used NDVI,Spectral Relationship and Water Index based on MODIS reflectance data to estimate Thailand flood affected region from November 2nd to November 9th in 2011.The result has shown as follows： The best method is by modified normalized difference water index;The largest landuse area in flood area in Thailand is crop,whose percent is 36.360%,which is mainly located in the central region around Bangkok and is Thailand national main crop distribution;It has a high accuracy using Modis data to extract the flood affected region.With the high time resolution,this method can effectively applied in the floods,and rapid disaster assessment.
出处
《灾害学》
CSCD
北大核心
2013年第2期95-99,共5页
Journal of Catastrophology
基金
国家自然科学基金(41171318
41001160)
中央高校基本科研业务费专项资金资助
