@article{fdi:010073606,
  title = {{D}ata descriptor : {FRY}, a global database of fire patch functional traits derived from space-borne burned area products [{D}ata paper]},
  author = {{L}aurent, {P}. and {M}ouillot, {F}lorent and {Y}ue, {C}. and {C}iais, {P}. and {M}oreno, {M}. {V}. and {N}ogueira, {J}. {M}. {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{V}egetation fires are intrinsic ecosystem disturbances of the {E}arth system. {G}lobal burned area products have been delivered from several space-borne instruments, and have recently provided pixel-level information underpinning fire spread processes. {H}ere we present {FRY}, a global database of fire patches with morphology-based functional traits reconstructed from pixel-based burned areas derived from the {MODIS} and {MERIS} imagery using a flood-fill algorithm. {E}ach fire patch is characterized by the geo-location of its center, area, perimeter, the features of the ellipse fitted over its pixel's spatial distribution, and different indices of patch complexity. {W}e obtained a consistent spatial distribution of global fire patch functional traits between the {MCD}64{A}1 {C}ollection 6 and the {MERIS} fire_cci v4.1 datasets during their overlap period (2005-2011), confirming the robustness of the applied algorithm and the consistency between both products. {T}his database is relevant to a broad spectrum of fire-related applications such as local to global functional pyrodiversity, fire emissions quantification, and the benchmarking of fire modules embedded in dynamic global vegetation models.},
  keywords = {},
  booktitle = {},
  journal = {{S}cientific {D}ata},
  volume = {5},
  numero = {},
  pages = {art. 180132 [12 p.]},
  ISSN = {2052-4463},
  year = {2018},
  DOI = {10.1038/sdata.2018.132},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073606},
}