Soil moisture is an important model which reflects agriculture dryness situation.Temperature Vegetation Dryness Index (TVDI) can retrieve soil moisture effective.8-day composite MODIS temperature product MOD11A2 and 16-day composite MODIS NDVI product MOD13A2 were combined to construct Ts-NDVI space from which the TVDI was obtained.Agricultural drought in July and August in Shanxi province was retrieved,thus the dryness situation in the study area was analyzed and compared by the synchronous meteorology data.At last,the paper analyzed the influences on agricultural drought through land use types,the altitude and the topographic slope based on MCD12Q1 and DEM data.The results showed that the agricultural drought-stricken areas were those whose altitude was below 800 m,topographic slope was below 15 ° and the land use types were given priority to urban,farmland and grassland.%土壤湿度是反映农业干旱状况的重要方法之一,而温度植被干旱指数(TVDI)能够有效地反演土壤湿度方法.研究利用MOD13A2和MOD 11 A2获取的归一化植被指数(NDVI)和陆地表面温度(Ts)构建Ts-NDVI特征空间,依据该特征空间计算的温度植被干旱指数(TVDI)作为农业旱情监测指标,结合实测的土壤湿度数据反演了山西省2012年夏季7,8月的农业干旱状况,并结合同时间的气象信息对于旱状况进行验证;然后结合MCD12Q1和DEM数据分析了土地利用类型、海拔高度和地形坡度对农业旱情的影响.结果表明,海拔高度在800 m以下,地形坡度为15°以下,土地利用类型以城镇用地、耕地和草地为主的地区是农业旱情最为严重的地区.
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