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


Total article views: 2,614 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,349 1,154 111 2,614 237 113 116
  • HTML: 1,349
  • PDF: 1,154
  • XML: 111
  • Total: 2,614
  • Supplement: 237
  • BibTeX: 113
  • EndNote: 116
Views and downloads (calculated since 31 Mar 2015)
Cumulative views and downloads (calculated since 31 Mar 2015)


Saved (final revised paper)

Saved (preprint)

Latest update: 26 Feb 2024
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.
Final-revised paper