Modeling vegetation greenness and its climate sensitivity with deep‐learning technology-Reference-Cited by-同舟云学术

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Modeling vegetation greenness and its climate sensitivity with deep‐learning technology

Published:2021-05-02 Issue:12 Volume:11 Page:7335-7345
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol. Evol.

Author:

Chen Zhiting¹,Liu Hongyan¹^ORCID,Xu Chongyang¹,Wu Xiuchen²^ORCID,Liang Boyi¹,Cao Jing¹,Chen Deliang³

Affiliation:

1. College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface Processes Peking University Beijing China

2. Faculty of Geographical Sciences Beijing Normal University Beijing China

3. August Röhss Chair Department of Earth Sciences University of Gothenburg Gothenburg Sweden

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7564

Reference60 articles.

1. Coefficient of variation;Abdi H.;Encyclopedia of Research Design,2010

2. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests

3. Permutation importance: a corrected feature importance measure

4. Evaluation of Land Surface Models in Reproducing Satellite Derived Leaf Area Index over the High-Latitude Northern Hemisphere. Part II: Earth System Models

5. Machine learning for data-driven discovery in solid Earth geoscience

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