Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

Snow depth retrieval from microwave remote sensing by combining wavelet transform and machine learning models in Northern Xinjiang, China

“…Additionally, some researchers have employed machine learning techniques to integrate passive remote sensing data with auxiliary datasets, effectively reconstructing the fine-scale snow depth. 64,65 Likewise, our study demonstrated enhanced accuracy in snow depth estimation by combining AMSR2 and FSC. This integrated approach demonstrates the potential of leveraging multiple data sources to mitigate the limitations associated with the coarse resolution of passive remote sensing.…”