Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning-Reference-Cited by-同舟云学术

Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning

Published:2022-06 Issue: Volume:321 Page:108980
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Zhan Weiwei^ORCID,Yang Xi^ORCID,Ryu Youngryel,Dechant Benjamin^ORCID,Huang Yu,Goulas Yves,Kang Minseok^ORCID,Gentine Pierre^ORCID

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference82 articles.

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5. Extending the SCOPE model to combine optical reflectance and soil moisture observations for remote sensing of ecosystem functioning under water stress conditions;Bayat;Remote Sens. Environ.,2019

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