Snow coverage mapping by learning from Sentinel-2 satellite multispectral images via machine learning algorithms

Snow coverage mapping by learning from Sentinel-2 satellite multispectral images via machine learning algorithms

Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in investigating crop disease overwintering for smart agriculture management. This work investigates snow coverage mapping by learning from Sentinel-2 satellite multispectral images via machine-learning...

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Bibliographic Details
Main Authors: Yucheng Wang, Jinya Su, Xiaojun Zhai, Fanlin Meng, Cunjia Liu
Format: Default Article
Published: 2022
Subjects:
Classical Physics
Physical Geography and Environmental Geoscience
Geomatic Engineering
semantic segmentation
u-net
random forest
multispectral image
remote sensing
sentinel-2 satellite
snow coverage
Online Access:https://hdl.handle.net/2134/19165031.v1
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https://hdl.handle.net/2134/19165031.v1

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