@article{laurentFRYGlobalDatabase2018,
  title = {{{FRY}}, a Global Database of Fire Patch Functional Traits Derived from Space-Borne Burned Area Products},
  author = {Laurent, Pierre and Mouillot, Florent and Yue, Chao and Ciais, Philippe and Moreno, M. Vanesa and Nogueira, Joana M. P.},
  date = {2018-07-10},
  journaltitle = {Scientific Data},
  volume = {5},
  pages = {180132},
  issn = {2052-4463},
  doi = {10.1038/sdata.2018.132},
  url = {https://doi.org/10.1038/sdata.2018.132},
  urldate = {2019-05-28},
  abstract = {Vegetation fires are intrinsic ecosystem disturbances of the Earth system. Global burned area products have been delivered from several space-borne instruments, and have recently provided pixel-level information underpinning fire spread processes. Here 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. Each 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. We obtained a consistent spatial distribution of global fire patch functional traits between the MCD64A1 Collection 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. This 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 = {~INRMM-MiD:z-84WKX6GA,burnt-area,fractal,functional-traits,global-scale,open-data,wildfires},
  langid = {english}
}

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P."],"bibdata":{"bibtype":"article","type":"article","title":"FRY, a Global Database of Fire Patch Functional Traits Derived from Space-Borne Burned Area Products","author":[{"propositions":[],"lastnames":["Laurent"],"firstnames":["Pierre"],"suffixes":[]},{"propositions":[],"lastnames":["Mouillot"],"firstnames":["Florent"],"suffixes":[]},{"propositions":[],"lastnames":["Yue"],"firstnames":["Chao"],"suffixes":[]},{"propositions":[],"lastnames":["Ciais"],"firstnames":["Philippe"],"suffixes":[]},{"propositions":[],"lastnames":["Moreno"],"firstnames":["M.","Vanesa"],"suffixes":[]},{"propositions":[],"lastnames":["Nogueira"],"firstnames":["Joana","M.","P."],"suffixes":[]}],"date":"2018-07-10","journaltitle":"Scientific Data","volume":"5","pages":"180132","issn":"2052-4463","doi":"10.1038/sdata.2018.132","url":"https://doi.org/10.1038/sdata.2018.132","urldate":"2019-05-28","abstract":"Vegetation fires are intrinsic ecosystem disturbances of the Earth system. Global burned area products have been delivered from several space-borne instruments, and have recently provided pixel-level information underpinning fire spread processes. Here 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. Each 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. We obtained a consistent spatial distribution of global fire patch functional traits between the MCD64A1 Collection 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. This 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":"~INRMM-MiD:z-84WKX6GA,burnt-area,fractal,functional-traits,global-scale,open-data,wildfires","langid":"english","bibtex":"@article{laurentFRYGlobalDatabase2018,\n title = {{{FRY}}, a Global Database of Fire Patch Functional Traits Derived from Space-Borne Burned Area Products},\n author = {Laurent, Pierre and Mouillot, Florent and Yue, Chao and Ciais, Philippe and Moreno, M. Vanesa and Nogueira, Joana M. P.},\n date = {2018-07-10},\n journaltitle = {Scientific Data},\n volume = {5},\n pages = {180132},\n issn = {2052-4463},\n doi = {10.1038/sdata.2018.132},\n url = {https://doi.org/10.1038/sdata.2018.132},\n urldate = {2019-05-28},\n abstract = {Vegetation fires are intrinsic ecosystem disturbances of the Earth system. 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This 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.},\n keywords = {~INRMM-MiD:z-84WKX6GA,burnt-area,fractal,functional-traits,global-scale,open-data,wildfires},\n langid = {english}\n}\n\n","author_short":["Laurent, P.","Mouillot, F.","Yue, C.","Ciais, P.","Moreno, M. V.","Nogueira, J. M. 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