Articles | Volume 11, issue 23
Biogeosciences, 11, 6827–6840, 2014
https://doi.org/10.5194/bg-11-6827-2014
Biogeosciences, 11, 6827–6840, 2014
https://doi.org/10.5194/bg-11-6827-2014

Research article 08 Dec 2014

Research article | 08 Dec 2014

Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks

M. Réjou-Méchain et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Maxime Réjou-Méchain on behalf of the Authors (29 Aug 2014)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Sep 2014) by Mathew Williams
RR by Anonymous Referee #1 (25 Sep 2014)
ED: Publish subject to minor revisions (Editor review) (09 Oct 2014) by Mathew Williams
AR by Svenja Lange on behalf of the Authors (28 Oct 2014)  Author's response    Manuscript
ED: Publish as is (07 Nov 2014) by Mathew Williams
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Short summary
Forest carbon mapping may greatly reduce uncertainties in the global carbon budget. Accuracy of such maps depends however on the quality of field measurements. Using 30 large forest plots, we found large local spatial variability in biomass. When field calibration plots are smaller than the remote sensing pixels, this high local spatial variability results in an underestimation of the variance in biomass.
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