基于多源数据的武陵山区干旱监测研究  

Study on Drought Monitoring of Wuling Mountain Area Based on Multi-source Data

作　　者：孙丽[1,2] 王飞[2] 李保国[1] 陈曦炜[2] 

机构地区：[1]中国农业大学资源与环境学院,北京100193 [2]农业部规划设计研究院,北京100125

出　　处：《农业机械学报》2014年第1期246-252,共7页Transactions of the Chinese Society for Agricultural Machinery

基　　金：'十二五'国家科技支撑计划资助项目(2012BAH33B02)

摘　　要：由于地表复杂性和气候环境等因素影响,针对采用遥感指标进行旱情监测具有一定局限性,利用EOS/MODIS数据建立遥感旱情监测指标———温度植被干旱指数(TVDI),结合地面气象因子的降水量距平指数(PPAI),构建线性加权形式的综合干旱监测指数(IMDI),应用该指数和TVDI指数在2010年4月中旬和2011年4月下旬对武陵山区进行了干旱监测试验研究,通过与10 cm深度土壤水分拟合及标准化降水指数(SPI)关系对比分析,认为IMDI和TVDI能够进行该区域的干旱监测,IMDI较TVDI更具稳定性,而SPI在干旱发生时易加重旱情判定结果。For the complexity of land surface and the climatic variation, the result of drought monitoring maybe couldn＇ t give us satisfaction only by using the single remote sensing index. A new solution of the problem was put forward. An integrated linear weighted drought monitoring index （IMDI） was suggested, which is incorporated with remote sensing index （TVDI）constructed by EOS/MODIS data and meteorological factor, named percent of precipitation departure （PPAI）. Two periods had been selected to monitor drought in Wuling Mountain area including mid- and the late April in 2011. By comparing with soil moisture in 10cm depth from the observatories around the same area in 2010 and 2011, together with contrasting the correlations with SPI, IMDI and TVDI were confirmed to be able to monitor drought distribution in such a large and complicated area and IMDI is superior to TVDI. However, drought monitored by SPI may be more serious than that of actual situation.

关 键 词：干旱监测 MODIS数据 温度植被干旱指数标准化降水指数 

分 类 号：S127[农业科学—农业基础科学] X833[环境科学与工程—环境工程]