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Volume 12, issue 15
Biogeosciences, 12, 4577–4594, 2015
https://doi.org/10.5194/bg-12-4577-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: EUROSPEC – spectral sampling tools for vegetation biophysical...

Biogeosciences, 12, 4577–4594, 2015
https://doi.org/10.5194/bg-12-4577-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Aug 2015

Research article | 03 Aug 2015

Predicting landscape-scale CO2 flux at a pasture and rice paddy with long-term hyperspectral canopy reflectance measurements

J. H. Matthes et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (05 Jul 2015) by Georg Wohlfahrt
AR by Jaclyn Matthes on behalf of the Authors (16 Jul 2015)  Author's response    Manuscript
ED: Publish subject to technical corrections (17 Jul 2015) by Georg Wohlfahrt
AR by Jaclyn Matthes on behalf of the Authors (18 Jul 2015)  Author's response    Manuscript
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Short summary
This research used a long-term data set of near-surface canopy hyperspectral reflectance collected over 5 years to test the ability of these measurements to predict ecosystem carbon flux at a pasture and rice paddy in the California Delta, USA. We determined that each reflectance sampling event best captured the integrated prior week of carbon dioxide uptake, providing an important benchmark for understanding the lagged correlation between ecosystem carbon uptake and biochemical reflectance.
This research used a long-term data set of near-surface canopy hyperspectral reflectance...
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