Biogeosciences
Biogeosciences
BG
Articles | Volume 12, issue 15
Articles | Volume 12, issue 15
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:
https://doi.org/10.5194/bg-12-4577-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 12, issue 15
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, S. H. Knox, C. Sturtevant, O. Sonnentag, J. Verfaillie, and D. Baldocchi

Viewed

Total article views: 3,194 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,668 1,383 143 3,194 285 146 161
  • HTML: 1,668
  • PDF: 1,383
  • XML: 143
  • Total: 3,194
  • Supplement: 285
  • BibTeX: 146
  • EndNote: 161
Views and downloads (calculated since 31 Mar 2015)
Cumulative views and downloads (calculated since 31 Mar 2015)
Latest update: 07 Nov 2025
Download
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.
Read more
Share
Special issue
EUROSPEC – spectral sampling tools for vegetation biophysical...
Altmetrics
Final-revised paper
Preprint