能量指数法在黑龙江干旱监测中的适用性研究  

Application of Energy Index Method on Drought Monitoring in Heilongjiang

作　　者：郑有飞[1,2,3] 刘茜[2] 王云龙[3] 吴荣军[3] 陈鹏[2] 

机构地区：[1]江苏省气象灾害重点实验室,南京210044 [2]南京信息工程大学大气物理学院,南京210044 [3]南京信息工程大学环境科学与工程学院,南京210044

出　　处：《土壤》2012年第1期149-157,共9页Soils

基　　金：中国气象局干旱气象科学研究基金项目(IAM201101);中国气象局小型基建项目"农业干旱监测预报与农情分析业务系统建设"资助

摘　　要：基于MODIS产品资料,结合土壤墒情实测数据,就能量指数法在黑龙江省农业干旱遥感监测中的适用性展开研究。结果表明:能量指数法的监测效果明显优于热惯量法和植被供水指数法,同时该方法还解决了其他方法不能连续监测土壤含水量的问题,适用于各种植被覆盖条件下以及各种土层深度的干旱监测。同时,运用多年资料分时、分层建立了基于能量指数法的土壤水分反演模型,模型的拟合效果在50cm深度时最好,20cm深度次之,10cm深度稍差。此外,模型在2009年黑龙江省干旱监测应用中的效果表明,反演结果与实际情况基本一致,能较好地反映黑龙江省旱情的空间分布和发展过程。The application of energy index method（D）on drought monitoring in Heilongjiang was studied in this paper by using EOS/MOD1S data and the soil moisture data. The results showed that energy index method was obviously better than apparent thermal inertia （ATI） and vegetation supply water index （VSWl） in drought monitoring. Further more, energy index method solved the disadvantages of the other two methods that couldn＇t monitor soil moisture continuously and was suited to monitor soil moisture at any soil layer with any level of vegetation cover. In addition, soil moisture retrieval model based on energy index method was built by using several-year data in different periods and soil layers. The fitting result of the energy index models on the depth ofS0 cm showed the highest one and the fitting result on the depth of 20 cm was higher. Then the model was used to monitor the drought in Heilongjiang in 2009 and the results showed that not only the spatial distribution but also the development process of drought accorded with the observations of soil relative humidity.

关 键 词：能量指数模式 EOS/MODIS资料 干旱监测 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]