基于FY-3B/MWRI数据的裸土区土壤湿度反演

Retrieval of bare soil moisture from FY-3B/MWRI data

使用高级积分方程模型,模拟多个地表参数条件下的风云三号B星微波成像仪(FY-3B/MWRI)资料。基于模拟数据,分析地表微波辐射特性,利用粗糙地表发射率Qp模型,建立我国西部地区裸露地表土壤湿度反演模型。将该模型用于我国西部地区4个日期(2011年10月8日、10月18日、10月28日和11月8日)的土壤湿度反演,并将反演结果用实测数据进行交叉验证。结果表明:反演土壤湿度与实测土壤湿度的决策系数R2为0.604,均方根误差为0.030 5 cm3/cm3,反演模型具有较高的反演精度。

This paper focuses on soil moisture retrieval study based on the measurements from the microwave radiation imager （MWRI） on board China＇s second-generation polar-orbiting meteorological satellite （FY-3）. The advanced integral equation model （ AIEM ） was used to simulate FY -3 B/MWRI radiance data for multiple surface parameters, and a soil moisture retrieval model is built based on the simulated radiance data. The model was used to retrieve bare soil moisture from four imageries acquired respectively on October 8 th and 18 th and 28 th and November 8th in Northwest China. The retrieved soil moisture were evaluated by measured data. The results show that the determination coefficient between the retrieved and measured soil moistures is 0 . 604 , the RMSE is 0. 030 5 cm^3/cm^3 , and hence the retrieved soil moisture is in good agreement with the measured data.