| Technology Application |
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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 |
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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.
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| Keywords
remote sensing images
road edge
sequential similarity detection algorithm (SSDA)
dual-threshold
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Issue Date: 17 September 2014
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2014,
Vol. 26
