Through evaluation and analysis, the RF method performs better than traditional linear-fitting model. However, it tends to overestimate SD in shallow snow cover ...
A FRAME ON SNOW DEPTH RECONSTRUCTION BASED ON MACHINE LEARNING. TECHNIQUE ... depth retrieval algorithm using passive microwave remote sensing data ...
In this study, we developed and tested a framework that couples a deep-learning-based LSTM model and snow-observation assimilation for daily SWE mapping and ...
In this study, a machine learning algorithm was introduced to fuse gridded snow depth datasets. The input variables of the machine learning method included ...
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A Frame on Snow Depth Reconstruction Based on Machine Learning Technique ... Snow Density based on Capacitive Measurements using Machine Learning Methods.
A Frame on Snow Depth Reconstruction Based on Machine Learning Technique. Jianwei Yang, Lingmei Jiang, Gongxue Wang, Jian Wang, Huizhen Cui, Xu Su. https ...
Mar 28, 2022 · A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning ... machine learning methods ...
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This paper proposed a deep learning approach based on downscaling snow depth retrieval by fusion of satellite remote-sensing data with multiple spatial scales ...
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