遥感干旱监测模型研究及在湖南夏季高温干旱中的应用

利用MODIS数据的增强型植被指数和陆地表面温度数据,反演得到湖南省逐月的改进型增强植被指数和温度状态指数,并与临近气象台站的综合气象干旱指数进行相关性分析,选取适宜的权重因子建立干旱状态指数(DCI)遥感干旱监测模型,并对其划分了遥感干旱等级。将此模型应用到2013年6—9月湖南旱情的监测中,该模型能较好地反映全省旱情的时空演变特征以及旱情的演变情况。该模型一定程度上削弱了云层的影响,在湿润的南方地区的农作物长势监测、作物估产和灾损评估等方面具有重要的应用前景。

Drought Monitoring Model Based on Satellite Remote Sense: Research and Application in High Temperature and Drought in Summer of Hunan

Monthly Enhanced Vegetation Condition Index (EVCI) and Temperature Condition Index (TCI) data in Hunan were retrieved from MODIS, and the correlation analysis was conducted by comparing with the meteorological drought composite index (CI) from 97 meteorological stations in Hunan. Remote- sensing drought monitoring model based on drought composite index (CI) was established by selecting appropriate weights and different remote-sensing drought levels were classified. The authors applied the remote-sensing drought monitoring model to drought monitoring from June to September of 2013 in Hunan, the model could reflect the spatio-temporal evolution of the drought well. This model weakens the effects of cloud to a certain extent and could be applied to crop growth monitoring, crop production estimation and natural disaster loss assessment in the humid south.