【摘要】 遥感反演是大尺度土壤水分监测的有效手段,但地面验证一直是土壤水分遥感反演的瓶颈。针对地面土壤水分测量,频域反射仪(FDR)和宇宙射线中子法(CRS)在土壤水分测量中展现出较大的应用潜力。本研究选取不同像元尺度的土壤水分遥感反演结果,包括30 m分辨率Landsat土壤水分反演、1 km分辨率MODIS土壤水分反演和SMAP卫星3 km分辨率和9 km分辨率土壤水分反演产品,利用CRS和FDR土壤水分监测数据对不同像元尺度土壤水分结果进行精度验证分析。结果表明:CRS在30 m分辨率、1 km分辨率、3 km分辨率和9 km分辨率土壤水分反演结果中精度均较FDR方法高,其中1 km分辨率中CRS反演值的均方根误差小于3 km分辨率和9 km分辨率的误差。CRS测量方法对小降水事件较敏感,会带来一定误差。更多还原

【Abstract】 Remote sensing inversion is an effective mean of large-scale soil moisture monitoring. However,verification of soil moisture remote sensing inversion is difficult at ground. For the measurement of ground soil moisture,the frequency domain reflectometry(FDR) and cosmic ray neutron(CRS) are showing great application potential in soil moisture measurement. This study selected soil moisture inversion results at different pixel scales,including 30 m resolution of Landsat soil moisture inversion,1 km resolution MODIS soil moisture inversion,and SMAP satellite 3 km resolution and 9 km resolution soil moisture inversion products.Then,CRS and FDR soil moisture means were used to analyze the accuracy of soil moisture at different pixel scales. The results show that the accuracy of CRS in 30 m resolution,1 km resolution,3 km resolution and 9 km resolution soil moisture inversion is higher than that of FDR methods. Compared with 3 km resolution and 9 km resolution of soil moisture inversion products,the root mean square error of CRS is lower in1 km resolution soil moisture inversion product. The CRS measurement method is sensitive to precipitation events.更多还原