Articles | Volume 12, issue 15
https://doi.org/10.5194/bg-12-4577-2015
https://doi.org/10.5194/bg-12-4577-2015
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: 2,640 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,354 1,174 112 2,640 238 113 117
  • HTML: 1,354
  • PDF: 1,174
  • XML: 112
  • Total: 2,640
  • Supplement: 238
  • BibTeX: 113
  • EndNote: 117
Views and downloads (calculated since 31 Mar 2015)
Cumulative views and downloads (calculated since 31 Mar 2015)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 28 Mar 2024
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.
Altmetrics
Final-revised paper
Preprint