Articles | Volume 22, issue 8
https://doi.org/10.5194/bg-22-2049-2025
https://doi.org/10.5194/bg-22-2049-2025
Research article
 | 
25 Apr 2025
Research article |  | 25 Apr 2025

Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF)

Jiaming Wen, Giulia Tagliabue, Micol Rossini, Francesco Pietro Fava, Cinzia Panigada, Lutz Merbold, Sonja Leitner, and Ying Sun

Viewed

Total article views: 1,475 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,133 182 160 1,475 82 29 47
  • HTML: 1,133
  • PDF: 182
  • XML: 160
  • Total: 1,475
  • Supplement: 82
  • BibTeX: 29
  • EndNote: 47
Views and downloads (calculated since 15 Aug 2024)
Cumulative views and downloads (calculated since 15 Aug 2024)

Viewed (geographical distribution)

Total article views: 1,475 (including HTML, PDF, and XML) Thereof 1,475 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jul 2025
Download
Short summary
Solar-induced chlorophyll fluorescence (SIF), a tiny optical signal emitted from the core photosynthetic machinery, has emerged as a promising tool to evaluate vegetation growth from satellites. We find satellite SIF can capture intra-seasonal (i.e., from days to weeks) vegetation dynamics of dryland ecosystems, while greenness-based vegetation indices cannot. This study generates novel insights for developing effective real-time vegetation monitoring systems to inform climate risk management.
Share
Altmetrics
Final-revised paper
Preprint