High spatial resolution modelling of net forest carbon fluxes based on ground and remote sensing data Article Swipe

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Gherardo Chirici , Marta Chiesi , Luca Fibbi , Francesca Giannetti , Piermaria Corona , Fabio Maselli ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.agrformet.2022.108866

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Environmental Science

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Environmental science Primary production Eddy covariance Carbon cycle Vegetation (pathology) Remote sensing Ecosystem Atmospheric sciences Ecology Geography Pathology Geology Biology Medicine

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.agrformet.2022.108866
OA Status: green
Cited By: 17
References: 43
Related Works: 10
OpenAlex ID: https://openalex.org/W4213298283

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OpenAlex ID: https://openalex.org/W4213298283

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DOI: https://doi.org/10.1016/j.agrformet.2022.108866

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Title: High spatial resolution modelling of net forest carbon fluxes based on ground and remote sensing data

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-02-22

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Authors: Gherardo Chirici, Marta Chiesi, Luca Fibbi, Francesca Giannetti, Piermaria Corona, Fabio Maselli

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Landing page: https://doi.org/10.1016/j.agrformet.2022.108866

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Open access: Yes

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OA status: green

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OA URL: https://www.sciencedirect.com/science/article/abs/pii/S0168192322000594

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Concepts: Environmental science, Primary production, Eddy covariance, Carbon cycle, Vegetation (pathology), Remote sensing, Ecosystem, Atmospheric sciences, Ecology, Geography, Pathology, Geology, Biology, Medicine

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Cited by: 17

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References (count): 43

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citation_normalized_percentile.is_in_top_10_percent	False