Improving snow depth estimation by coupling HUT-optimized effective snow grain size parameters with the random forest approach
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Title
Improving snow depth estimation by coupling HUT-optimized effective snow grain size parameters with the random forest approach
Authors
Keywords
Snow depth, Effective snow grain size (effGS), Random forest (RF), HUT model
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 264, Issue -, Pages 112630
Publisher
Elsevier BV
Online
2021-08-12
DOI
10.1016/j.rse.2021.112630
References
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