Biogeosciences
Biogeosciences
BG
Articles | Volume 19, issue 13
Articles | Volume 19, issue 13
https://doi.org/10.5194/bg-19-3317-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-3317-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 13
Research article
 | 
15 Jul 2022
Research article |  | 15 Jul 2022

Monitoring post-fire recovery of various vegetation biomes using multi-wavelength satellite remote sensing

Emma Bousquet, Arnaud Mialon, Nemesio Rodriguez-Fernandez, Stéphane Mermoz, and Yann Kerr

Viewed

Total article views: 5,149 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,700 1,332 117 5,149 152 121 149
  • HTML: 3,700
  • PDF: 1,332
  • XML: 117
  • Total: 5,149
  • Supplement: 152
  • BibTeX: 121
  • EndNote: 149
Views and downloads (calculated since 11 Nov 2021)
Cumulative views and downloads (calculated since 11 Nov 2021)

Viewed (geographical distribution)

Total article views: 5,149 (including HTML, PDF, and XML) Thereof 5,047 with geography defined and 102 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Apr 2026
Download
Short summary
Pre- and post-fire values of four climate variables and four vegetation variables were analysed at the global scale, in order to observe (i) the general fire likelihood factors and (ii) the vegetation recovery trends over various biomes. The main result of this study is that L-band vegetation optical depth (L-VOD) is the most impacted vegetation variable and takes the longest to recover over dense forests. L-VOD could then be useful for post-fire vegetation recovery studies.
Read more
Share
Altmetrics
Final-revised paper
Preprint