摘要
利用MODIS合成产品数据MOD11A2和MOD13A2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)作为土壤湿度监测指标,反演了新疆8、9两个月份每16d的土壤湿度。使用野外与卫星同步采样的土壤湿度数据进行验证,发现TVDI指标与实测土壤湿度数据显著相关,能够较好地反映表层土壤湿度,反映的新疆土壤湿度的空间分布与新疆的年降水量分布、年平均相对湿度分布很吻合;同时表明8、9两个月份期间新疆土壤湿度低的区域在不断扩大。
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(Temperature Vegetation Dryness Index) was obtained. Every 16-day soil moisture in August and September in XinJiang was retrieved by using the TVDI. When compared with the topsoil moisture measured simultaneously with satellite in the field, we found that TVDI and soil moisture were correlated strongly, and TVDI could reflect the topsoil moisture status. Based on the information got by the remote sensing,, we then analyzed the spatial and temporal variations of soil moisture in XinJiang. It was found that the spatial distribution of soil moisture accorded with the distribution of the annual precipitation and annual average relative humidity in XinJiang and the area with lower soil moisture was increasing during the August to the September.
出处
《遥感技术与应用》
CSCD
2004年第6期473-478,共6页
Remote Sensing Technology and Application
基金
中国科学院知识创新重要方向性项目(KZCX3-SW-334)资助。
