Retrieval of bare soil moisture from FY-3B/MWRI data
BAO Yansong1,2, MAO Fei1,2, MIN Jinzhong1, WANG Dongmei3, YAN Jing1
1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China; 3. Jiangsu Hydraulic Research Institute, Nanjing 210017, China
Abstract: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-3B/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 8th and 18th and 28th 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 cm3/cm3, and hence the retrieved soil moisture is in good agreement with the measured data.
鲍艳松, 毛飞, 闵锦忠, 王冬梅, 严婧. 基于FY-3B/MWRI数据的裸土区土壤湿度反演[J]. 国土资源遥感, 2014, 26(4): 131-137.
BAO Yansong, MAO Fei, MIN Jinzhong, WANG Dongmei, YAN Jing. Retrieval of bare soil moisture from FY-3B/MWRI data. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 131-137.
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