Estimating snow depth by combining satellite data and ground-based observations over Alaska: A deep learning approach

Journal of Hydrology(2020)

引用 31|浏览48
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摘要
•A deep learning snow-depth retrieval algorithm was proposed.•GNSS-R estimates were fused with satellite and meteorological station observations.•The deep learning based model outperformed other snow depth retrieval models.•The effectiveness of fusing GNSS-R estimation was validated.•Snow depth variation in Alaska was related to ENSO.
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关键词
Deep learning,Multisource data,GNSS-R,Brightness temperature,Alaska,Snow depth
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