Articles | Volume 22, issue 23
https://doi.org/10.5194/bg-22-7797-2025
https://doi.org/10.5194/bg-22-7797-2025
Research article
 | 
08 Dec 2025
Research article |  | 08 Dec 2025

Biases in estimated vegetation indices from observations under cloudy conditions

Kevin Wolf, Evelyn Jäkel, André Ehrlich, Michael Schäfer, Hannes Feilhauer, Andreas Huth, and Manfred Wendisch

Viewed

Total article views: 4,971 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,872 866 233 4,971 211 276
  • HTML: 3,872
  • PDF: 866
  • XML: 233
  • Total: 4,971
  • BibTeX: 211
  • EndNote: 276
Views and downloads (calculated since 19 May 2025)
Cumulative views and downloads (calculated since 19 May 2025)

Viewed (geographical distribution)

Total article views: 4,971 (including HTML, PDF, and XML) Thereof 4,803 with geography defined and 168 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 29 Aug 2026
Short summary
This paper presents combined atmosphere-vegetation radiative transfer simulations to systematically investigate cloud-induced biases in remotely sensed vegetation indices (VIs) derived from below-cloud measurements. The biases in VIs have been investigated for the general case of two-band VIs, and for the special cases of the normalized difference vegetation index (NDVI), the normalized difference water index (NDWI), and the enhanced vegetation index (EVI).
Share
Altmetrics
Final-revised paper
Preprint