A Snow Depth Downscaling Algorithm Based on Deep Learning Fusion of Enhanced Passive Microwave and Cloud-Free Optical Remote Sensing Data in China

A Snow Depth Downscaling Algorithm Based on Deep Learning Fusion of Enhanced Passive Microwave and Cloud-Free Optical Remote Sensing Data in China

High spatial resolution snow depth (SD) is crucial for hydrological, ecological, and disaster research. However, passive microwave SD product (10/25 km) is increasingly insufficient to meet contemporary requirements due to its coarse spatial resolution, particularly in heterogeneous alpine areas. In...

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Bibliographic Details
Main Authors: Zisheng Zhao, Xiaohua Hao, Donghang Shao, Wenzheng Ji, Tianwen Feng, Qin Zhao, Wenxin He, Liyun Dai, Zhaojun Zheng, Yan Liu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
snow depth
downscaling
deep learning
enhanced spatial resolution
Online Access:https://www.mdpi.com/2072-4292/16/24/4756
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