@article{fdi:010090501,
  title = {{C}oarse-resolution burned area datasets severely underestimate fire-related forest loss},
  author = {{K}hairoun, {A}. and {M}ouillot, {F}lorent and {C}hen, {W}entao and {C}iais, {P}. and {C}huvieco, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobal coarse -resolution (>= 250 m) burned area ({BA}) products have been used to estimate fire related forest loss, but we hypothesised that a significant part of fire impacts might be undetected because of the underestimation of small fires (<100 ha), especially in the tropics. {I}n this paper, we analysed fire -related forest cover loss in sub{S}aharan {A}frica ({SSA}) for 2016 and 2019 based on a {BA} product generated from {S}entinel -2 data (20 m), which was observed to have significantly lower omission errors than the coarse -resolution {BA} products. {U}sing these higher resolution {BA} datasets, we found that fires contribute to >46 % of total forest losses over {SSA}, more than twice the estimates from coarse -resolution {BA} products. {I}n addition, burned forest areas showed more than twofold likelihood of subsequent loss compared to unburned ones. {I}n moist tropical forests, the most firevulnerable biome, burning had even six times more chance to precede forest loss than unburned areas. {W}e also found that fire -related characteristics, such as fire size and season, and forest fragmentation play a major role in the determination of tree cover fate. {O}ur results reveal that medium -resolution {BA} detects more fires in late fire season, which tend to have higher impact on forests than early season ones. {O}n the other hand, small fires represented the major driver of forest loss after fires and the vast majority of these losses occur in fragmented landscapes near forest edge (<260 m). {T}herefore medium -resolution {BA} products are required to obtain a more accurate evaluation of fire impacts in tropical ecosystems.},
  keywords = {{S}entinel-2 ; {B}urned areas ; {F}ires ; {W}ildfires ; {D}eforestation ; {F}orest loss ; {T}ropics ; {A}frica ; {S}atellite {E}arth {O}bservation ; {AFRIQUE} {SUBSAHARIENNE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{S}cience of the {T}otal {E}nvironment},
  volume = {920},
  numero = {},
  pages = {170599 [20 ]},
  ISSN = {0048-9697},
  year = {2024},
  DOI = {10.1016/j.scitotenv.2024.170599},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090501},
}