An Approach to Improve the Spatial Resolution and Accuracy of AMSR2 Passive Microwave Snow Depth Product Using Machine Learning in Northeast China

An Approach to Improve the Spatial Resolution and Accuracy of AMSR2 Passive Microwave Snow Depth Product Using Machine Learning in Northeast China

Snow cover plays a highly critical role in the global water cycle and energy exchange. Accurate snow depth (SD) data are important for research on hydrologic processes, climate change, and natural disaster prediction. However, existing passive microwave (PMW) SD products have high uncertainty in Nor...

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Bibliographic Details
Main Authors: Yanlin Wei, Xiaofeng Li, Li Li, Lingjia Gu, Xingming Zheng, Tao Jiang, Xiaojie Li
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
snow depth
Northeast China
downscaling model
passive microwave
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/6/1480

Internet

https://www.mdpi.com/2072-4292/14/6/1480

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