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

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Cited articles

Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate change on wildfire across western US forests, P. Natl. Acad. Sci. USA, 113, 11770–11775, https://doi.org/10.1073/pnas.1607171113, 2016. 
Albini, F. A.: Dynamics and modeling of vegetation fires: observations, in: Fire in the environment: the ecological, atmospheric, and climatic importance of vegetation fires, edited by: Crutzen, P. J. and Goldammer, J. G., John Wiley & Sons, Chichester, England, 39–52, 1993. 
Alexander, M. E. and Cruz, M. G.: Crown fire dynamics in conifer forests, in: Synthesis of knowledge of extreme fire behavior, USDA Forest Service, Pacific Northwest Research Station, General technical report PNW-GTR-854, 1, 107–142, 2011. 
Ambadan, J. T., Oja, M., Gedalof, Z. E., and Berg, A. A.: Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk, Remote Sens., 12, 1543, https://doi.org/10.3390/rs12101543, 2020. 
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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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