Articles | Volume 19, issue 13
https://doi.org/10.5194/bg-19-3317-2022
https://doi.org/10.5194/bg-19-3317-2022
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

Data sets

AMSR2/GCOM-W1 Surface Soil Moisture (LPRM) L3 1 Day 10 km x 10 km Descending V001 R. de Jeu and M. Owe https://doi.org/10.5067/M5DTR2QUYLS2

IMS Daily Northern Hemisphere Snow and Ice Analysis at 4 km Resolution NSIDC https://doi.org/10.7265/N52R3PMC

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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.
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