长江中下游流域土壤湿度遥感反演研究及其影响因素分析  

Research on Remote Sensing Inversion of Soil Moisture and Analysis of Influencing Factors in the Middle and Lower Yangtze River Basin

作　　者：陈少丹 张利平[1,3] 闪丽洁 杨凯[3] 黄勇奇[3] 

机构地区：[1]武汉大学水资源与水电工程国家重点实验室,湖北武汉430072 [2]水资源安全保障湖北省协同创新中心,湖北武汉430072 [3]黄冈师范学院旅游文化与地理科学学院,湖北黄冈438000

出　　处：《应用基础与工程科学学报》2017年第4期657-669,共13页Journal of Basic Science and Engineering

基　　金：国家自然科学基金项目(51339004);国家重点研发计划项目(2017YFA0603704);湖北省科技计划项目(2015BCA290)

摘　　要：土壤湿度是水文学、气象学及农业科学研究领域的重要指标参数,对气候、农业、旱情监测都有重要意义.利用MODIS数据产品MOD09A1、MOD11A2和MOD13A2获取表观热惯量(ATI)和植被供水指数(VSWI)模型中的关键参数,以NDVI作为判别阈值将ATI和VSWI相结合建立集合土壤湿度反演模型,用预留的实测数据对模型进行了验证.并从土地覆盖类型、高程、坡度等方面进一步分析了长江中下游流域土壤湿度的分布规律,研究区土壤相对湿度随土地覆盖类型、高程及坡度等因素的变化呈明显的分异规律.结果表明,基于ATI和VSWI的集合土壤湿度反演模型结合两种模型的优点,实现了优势互补,提高土壤相对湿度反演的精度.Soil moisture is an important indicator of hydrology, meteorology and agricultural science. It has vital impacts on the climate, agricultural, and drought monitoring. The MODIS data including MODO9A1 ,MODllA2 and MOD13A2 were used to compute the key parameters in apparent thermal inertia （ATI） and vegetation supply water index （VSWI） model. An applicable approach by integrating ATI and VSWI has been proposed to estimate the soil moisture, using NDVI as a threshold. The approach was validated with the field data. The distribution pattern of the soil moisture in the Middle and Lower Yangtze River Basin was further analyzed using land use/cover types, elevation and slope. The soil relative moisture distribution shows significant differentiation with the change of land use/cover types, elevation and slope. The results show that the compound ATI and VSWI models can effectively improve retrieval accuracy and remedy the shortage of one-sided method.

关 键 词：长江中下游流域 MODIS 土壤湿度 表观热惯量 植被供水指数 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] S152[自动化与计算机技术—控制科学与工程]