Data-driven mapping of the spatial distribution and potential changes of frozen ground over the Tibetan Plateau

Title
Data-driven mapping of the spatial distribution and potential changes of frozen ground over the Tibetan Plateau
Authors
Keywords
Machine learning, Tibetan Plateau, Permafrost degradation, Maximum thickness of seasonally frozen ground, Climate change
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 649, Issue -, Pages 515-525
Publisher
Elsevier BV
Online
2018-08-28
DOI
10.1016/j.scitotenv.2018.08.369

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