Biogeosciences
Biogeosciences
BG
Articles | Volume 21, issue 16
Articles | Volume 21, issue 16
https://doi.org/10.5194/bg-21-3593-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-3593-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 16
Research article
 | 
16 Aug 2024
Research article |  | 16 Aug 2024

Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery

Pia Gottschalk, Aram Kalhori, Zhan Li, Christian Wille, and Torsten Sachs

Viewed

Total article views: 531 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
364 133 34 531 53 21 26
  • HTML: 364
  • PDF: 133
  • XML: 34
  • Total: 531
  • Supplement: 53
  • BibTeX: 21
  • EndNote: 26
Views and downloads (calculated since 09 Jan 2024)
Cumulative views and downloads (calculated since 09 Jan 2024)

Viewed (geographical distribution)

Total article views: 531 (including HTML, PDF, and XML) Thereof 540 with geography defined and -9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Aug 2024
Download
Short summary
To improve the accuracy of spatial carbon exchange estimates, we evaluated simple linear models for net ecosystem exchange (NEE) and gross primary productivity (GPP) and how they can be used to upscale the CO2 exchange of agricultural fields. The models are solely driven by Sentinel-2-derived vegetation indices (VIs). Evaluations show that different VIs have variable power to estimate NEE and GPP of crops in different years. The overall performance is as good as results from complex crop models.
Read more
Altmetrics
Final-revised paper
Preprint