Capturing constraints on boreal gross primary productivity using the remote sensing-based CAN-TG model.

Capturing constraints on boreal gross primary productivity using the remote sensing-based CAN-TG model.

In response to the limited number and distribution of in-situ carbon flux observations, remote sensing-based methods are increasingly relied upon for the estimation of Gross Primary Productivity (GPP) at regional to global scales. These remote sensing-informed estimates are commonly derived through...

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Bibliographic Details
Main Authors: Ramon Melser, Nicholas C. Coops, Michael A. Wulder, Chris Derksen, Sara H. Knox, Tongli Wang
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Informatics
Subjects:
Boreal carbon dynamics
Non-parametric modelling
Random forest
Variable contribution
Seasonal uncertainty
Land cover
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001177
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