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		<doi>10.1038/sdata.2018.132</doi>
		<issn>2052-4436</issn>
		<citationkey>LaurentMoYuCiMoNo:2018:FRGlDa</citationkey>
		<title>Data Descriptor: FRY, a global database of fire patch functional traits derived from space-borne burned area products</title>
		<year>2018</year>
		<month>July</month>
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		<author>Laurent, Pierre,</author>
		<author>Mouillot, Florent,</author>
		<author>Yue, Chao,</author>
		<author>Ciais, Philippe,</author>
		<author>Moreno, M. Vanesa,</author>
		<author>Nogueira, Joana Messias Pereira,</author>
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		<group>CGCPT-CGCPT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Laboratoire des Sciences du Climat et de l'Environnement</affiliation>
		<affiliation>Université de Montpellier</affiliation>
		<affiliation>Laboratoire des Sciences du Climat et de l'Environnement</affiliation>
		<affiliation>Laboratoire des Sciences du Climat et de l'Environnement</affiliation>
		<affiliation>Université de Montpellier</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>pierre.laurent@lsce.ipsl.fr</electronicmailaddress>
		<electronicmailaddress>florent.mouillot@cefe.cnrs.fr</electronicmailaddress>
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		<electronicmailaddress>joana.nogueira_funcate@inpe.br</electronicmailaddress>
		<journal>Scientific Data</journal>
		<volume>5</volume>
		<pages>e180132</pages>
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		<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.</abstract>
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		<language>en</language>
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