Generating high-accuracy and cloud-free surface soil moisture at 1 km resolution by point-surface data fusion over the Southwestern U.S.

Agricultural and Forest Meteorology(2022)

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摘要
•A downscaling framework for generating 1 km seamless and daily SSM was proposed.•The proposed framework was inspired by point-surface fusion through deep learning.•Downscaled SSM showed excellent spatial and temporal patterns against in-situ SSM.•Downscaled SSM showed higher accuracy than original SMAP SSM and ERA5-Land SSM.
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关键词
Surface soil moisture downscaling,Cloud-free,High resolution,Deep learning,Point-surface fusion,Southwestern US
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