Forests for forests: combining vegetation indices with solar-induced chlorophyll fluorescence in random forest models improves gross primary productivity prediction in the boreal forest

Remote sensing is a powerful tool for understanding and scaling measurements of plant carbon uptake via photosynthesis, gross primary productivity (GPP), across space and time. The success of remote sensing measurements can be attributed to their ability to capture valuable information on plant stru...

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Bibliographic Details

Published in:	Environmental Research Letters
Main Authors:	Zoe Amie Pierrat, Jacob Bortnik, Bruce Johnson, Alan Barr, Troy Magney, David R Bowling, Nicholas Parazoo, Christian Frankenberg, Ulli Seibt, Jochen Stutz
Format:	Article
Language:	English
Published:	IOP Publishing 2022-01-01
Subjects:	remote sensing random forest models boreal forest gross primary production solar-induced fluorescence light use efficiency
Online Access:	https://doi.org/10.1088/1748-9326/aca5a0