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Downscaling FY-3B soil moisture based on apparent thermal inertia and temperature vegetation index |
SONG Chengyun1(), HU Guangcheng2, WANG Yanli1, TANG Chao1 |
1. School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China 2. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China |
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Abstract In order to further study the method of obtaining high-resolution soil moisture by downscaling FY-3B soil moisture and make it more suitable for agricultural and hydrological simulation, the authors constructed a comprehensive ATI and TVI by using MODIS data in Naqu area. Combined with low resolution FY-3B soil moisture products, the coefficients of soil moisture inversion model under high resolution were obtained by using soil moisture downscaling method, and the high-resolution soil moisture was obtained. Compared with the ground observation data, the R2 of the downscaling soil moisture and the measured data is above 0.4, and the RMSE is between 0.055 and 0.103 cm3/cm3, indicating that the downscaling soil moisture can better reflect the spatial distribution and change of soil moisture.
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Keywords
downscaling
FY-3B soil moisture
apparent thermal inertia
temperature vegetation index
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Issue Date: 21 July 2021
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