@Article{LaurentMoYuCiMoNo:2018:FRGlDa,
               author = "Laurent, Pierre and Mouillot, Florent and Yue, Chao and Ciais, 
                         Philippe and Moreno, M. Vanesa and Nogueira, Joana Messias 
                         Pereira",
          affiliation = "{Laboratoire des Sciences du Climat et de l'Environnement} and 
                         {Universit{\'e} de Montpellier} and {Laboratoire des Sciences du 
                         Climat et de l'Environnement} and {Laboratoire des Sciences du 
                         Climat et de l'Environnement} and {Universit{\'e} de Montpellier} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Data Descriptor: FRY, a global database of fire patch functional 
                         traits derived from space-borne burned area products",
              journal = "Scientific Data",
                 year = "2018",
               volume = "5",
                pages = "e180132",
                month = "July",
             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.",
                  doi = "10.1038/sdata.2018.132",
                  url = "http://dx.doi.org/10.1038/sdata.2018.132",
                 issn = "2052-4436",
             language = "en",
           targetfile = "laurent_data.pdf",
        urlaccessdate = "05 maio 2024"
}