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		<isbn>978-85-17-00088-1</isbn>
		<label>60108</label>
		<citationkey>FerreiraMart:2017:AvRiIn</citationkey>
		<title>Avaliação do risco de incêndio florestal (RIF) através de modelagem de dados espaciais</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Ferreira, Jânio Marcos Rodrigues,</author>
		<author>Martins, Marcos Henrique,</author>
		<electronicmailaddress>marcos.henrique.martins@usp.br</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>328-335</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Environmental management is intimately connected to geospatial analysis on account of the growing need to plan short and long term actions that depend on a number of cartographic information. However, the amount of information oftentimes hinders rapid decision-making, which is absolutely necessary to control certain environmental incidents such as forest fires. This study aimed to calculate forest fire risk within a certain area of the city of São Paulo with the aid of a flow chart developed in ArcGIS 10.2 Model Builder. The results obtained show high accuracy and precision, indicating the potential of the new tool developed in this work. Therefore, it is important to reiterate here the necessity of making use of theories and methods in geo-processing with regard to environment management.</abstract>
		<area>SRE</area>
		<type>Modelagem espacial</type>
		<language>pt</language>
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