土壤水分遥感监测研究进展  

Progress of soil moisture monitoring by remote sensing

作　　者：杨涛[1,2,3] 宫辉力[3] 李小娟[3] 赵文吉[3] 孟丹[3] 

机构地区：[1]中国科学院东北地理与农业生态研究所,长春130012 [2]中国科学院研究生院,北京100039 [3]三维信息获取与应用教育部重点实验室,首都师范大学,北京100048

出　　处：《生态学报》2010年第22期6264-6277,共14页Acta Ecologica Sinica

基　　金：国家高技术研究发展计划资助项目(2006AA12Z111;2009AA12Z14611);国家自然科学基金资助项目(40771170)

摘　　要：土壤水分是陆地表面参数化的一个关键变量。土壤水分含量随时空的转换而变化,在地-气界面间物质、能量交换中起着重要的作用,是农作物生长发育的基本条件和农作物产量预报的重要参数。遥感技术具有大面积同步观测,时效性、经济性强的特点,为大面积动态监测土壤水分提供了可能。总结了近年来国内外遥感监测土壤水分理论、方法的发展和应用,介绍了目前几种比较成熟和广泛应用的土壤水分遥感监测方法与模型,对比分析了各种监测方法的优缺点,指出了土壤水分遥感监测方法存在的不足,指明了今后发展的方向,展望了土壤水分遥感监测方法的发展趋势。Soil moisture is a key variable of land surface parameters. Soil water content variates and plays an important role in environmental elements and energy exchanges between earth and spatially and temporally, atmosphere. It is a basic indicator of crop growing and crop yield forecast, and also an important parameter in numerical weather-prediction model that lead to efficient forecasting improvement in the physics of land surface processes on regional or global scales. However, it is very difficult to obtain the soil moisture parameter by ground measurement in both temporally and spatially, especially at large spatial scales. With the development of remote sensing techniques during the last decades, it has been gradually concerned as one of the best efficient methods to retrieve soil moisture parameter. With the features of observing large area synchronously, temporally, and economically, remote sensing technique makes dynamic soil water monitoring possible at large scales. There are four objectives within this paper about soil moisture research. Firstly, it summarized systematically development and applications of remote sensing in monitoring soil moisture, mainly including Visible, Near-Infrared, Thermal infrared remote sensing and Microwave remote sensing. Secondly, it detailedly introduced present models and methodologies that extensively used for soil moisture monitoring by remote sensing, including the following Spectrum reflectivity method, Thermal inertia model, Crop water stress index, Vegetation index, Microwave remote sensing models and Hyper-spectral remote sensing model. Next, it comparatively analyzed advantages and disadvantages of all remote sensing methods in monitoring soil moisture, and pointed out shortages with very one remote sensing method. Spectrum reflectivity method is only applied in the specific area of fiat terrain, single landform and a typical composition soil; Thermal inertia method is more suitable for bare soil and low vegetation coverage, and vegetation index, crop water stress in

关 键 词：土壤水分 遥感监测 模型与方法 

分 类 号：S152.7[农业科学—土壤学]