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A unified vegetation index for quantifying the terrestrial biosphere

descriptionPublicationkeyboard_double_arrow_right Article 26 Feb 2021 Spain, United States English Publisher:American Association for the Advancement of Science (AAAS)Journal:Science Advances, volume 7 (eissn: 2375-2548, Copyright policy )Funded by:EC | CHE, EC | SEDAL, EC | VERIFY
Authors: Gustau Camps-Valls; Manuel Campos-Taberner; Álvaro Moreno-Martínez; Sophia Walther; Grégory Duveiller; Alessandro Cescatti; Miguel D. Mahecha; +7 Authors

doi: 10.1126/sciadv.abc7447

pmid: 33637524

pmc: PMC7909876

handle: 21.11116/0000-0008-12A9-5 , 21.11116/0000-0008-12AA-4 , 21.11116/0000-0008-12A1-D

A unified vegetation index for quantifying the terrestrial biosphere

Abstract

Machine learning generalizes vegetation indices to better quantify the terrestrial biosphere.

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Spain, United States
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Keywords

550, Natural Resources and Conservation, Natural Resources Management and Policy, Other Environmental Sciences, Environmental Sciences, Research Articles

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    		 Top 0.1%
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
616
Top 0.1%
Top 1%
Top 0.1%
131
165
Green
gold
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FORTHEM Alliance
Knowmad Institut
UArctic