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		<isbn>978-85-17-00088-1</isbn>
		<label>59935</label>
		<citationkey>AlbaMarTabTraPer:2017:GeApMa</citationkey>
		<title>Geotecnologias aplicadas no mapeamento da susceptibilidade de ocorrência de incêndios</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>707 KiB</size>
		<author>Alba, Elisiane,</author>
		<author>Marchesan, Juliana,</author>
		<author>Tabarelli, Cristina,</author>
		<author>Tramontina, Juliana,</author>
		<author>Pereira, Rudiney Soares,</author>
		<electronicmailaddress>lisi_alba@hotmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>3838-3845</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>This study aimed zoning of the areas of greatest susceptibility to the occurrence of fires in Taim Ecological Station by Landsat 8 images, considering the integrated effect of static and dynamic variables. As static variables were used the declivity and the distance from roads, while the temperature and the use and land cover comprise the dynamic variables. The variables were classified as low, moderate and high susceptibility to occurrence of fire, being subsequently assigned weights ranging from one to three. Thematic maps were integrated using a weighted mathematical equation, resulting in spatial representation of the fire risk zoning. With the results of this study, can identify the areas most prone to fires, thus it was found that the 5668.83 ha (55.73% of total area) showed low susceptibility to occurrence of fires in the study area, while areas with high risk of fire occupy 4326.03 ha, covering 42.53%. This study shows that the areas of highest risk of fires are located in the central part of the Taim Ecological Station and next to the roads, thus these sites require more attention and resources to combat possible outbreaks of fires. The use of geotechnology facilitates decision making and fire prevention strategies to ensure the preservation of biodiversity existing.</abstract>
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		<type>Risco ambiental</type>
		<language>pt</language>
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