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		<doi>10.37002/biodiversidadebrasileira.v10i1.1563</doi>
		<citationkey>MartinsNoguSetzMore:2019:ApCoDi</citationkey>
		<title>Fire Patterns in the Brazilian Cerrado: an Approach Comparing Different Input Datasets in the Fire Risk Modelling</title>
		<year>2019</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>135 KiB</size>
		<author>Martins, Guilherme,</author>
		<author>Nogueira, Joana,</author>
		<author>Setzer, Alberto Waingort,</author>
		<author>Morelli, Fabiano,</author>
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		<group>DIDPI-CGOBT-INPE-MCTIC-GOV-BR</group>
		<group></group>
		<group>DIDSA-CGCPT-INPE-MCTIC-GOV-BR</group>
		<group>DIDPI-CGOBT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<conferencename>International Wildland Fire Ecology and Fire Management Congress, 7</conferencename>
		<conferencelocation>Brasília, DF</conferencelocation>
		<date>2019</date>
		<booktitle>Anais</booktitle>
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		<contenttype>External Contribution</contenttype>
		<versiontype>publisher</versiontype>
		<keywords>Fire modelling, fire season, savannas, Brazil, land use.</keywords>
		<abstract>Emissions  from  vegetation  fires  are  relevant  in  the  atmosphere-biosphere interaction.  Nevertheless,  fire  is  still  intensely  used  as  a  tool  in  land  management, modifying natural fire patterns in fire-prone ecosystems. The Brazilian Cerrado has shown increased anthropogenic fire ignitions, especially due to deforestation that removed ~50% of its original cover and unusual droughts. Fire risk (FR) models using meteorological and vegetation parameters have been used to estimate fire patterns at biome level. Theaim of this study was to evaluate the performance of INPEs FR model using different climate and land  cover  (LC)  datasets  (versions  0  and  1)  to  estimate  FR  patterns  in  the  Cerrado. Meteorological datasets from CoSch and MCD12Q1-IGBP V006 land cover data represent v0  while  v1  is  composed  by  IMERG  and  Mapbiomas  v3.0  datasets.  The  analyses  were performed in the wet (W: November-March) and dry (D: May-September) seasons from 2015 to 2018 at 1km of spatial resolution. The versions were compared using the seasonal predominance  of  FR  (PFR)  and  evaluated  in  five  categories:  minimum,  FR<=0.15; low,  0.15<FR<=0.40;  medium,  0.40<FR<=0.70;  high,  0.70<FR<=0.95  and critical,  0.95<FR<=1.0.  The  main  fire  pattern  differences  between  v0  and  v1  were observed  in  D,  when the PFR remains high during all season according to v0, while v1classifies critical PFR from July to September. In W, differences were not observed, except for November, classified as low PFR by v0 and minimum PFR in v1. These differences can berelated to the higher LC spatial resolution and definition of vegetation types in v1 such as woody savannas; v1 is based on Landsat medium resolution spectral images (~30m) while v0 uses MODIS low resolution (~500m). Concerning precipitation, the  information  has  a  higher  spatial  consistency  using  10  km  of  spatial  resolution  in  v1 while  v0  uses  25  km  of  spatial  resolution.  With  new  Mapbiomas  editions  and  revisions released every year, INPEs FR will be updated accordingly, allowing a realistic temporal modeling  of  the  vegetation;  including  terrain  data  in  this  condition  will  allow  a  new  FR product at 30m resolution for protected areas our next goal.</abstract>
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		<language>en</language>
		<targetfile>1563-Texto do Artigo-6511-1-10-20200401.pdf</targetfile>
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