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		<isbn>978-85-17-00088-1</isbn>
		<label>59576</label>
		<citationkey>PereiraLohmDepp:2017:EsCaEs</citationkey>
		<title>Monitoramento de incêndios utilizando imagens Landsat 8: Um estudo de caso para o estado do Tocantins</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>698 KiB</size>
		<author>Pereira, Gabriel Henrique de Almeida,</author>
		<author>Lohmann, Marciel,</author>
		<author>Deppe, Flávio,</author>
		<electronicmailaddress>pereira.gha@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>2700-2707</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Remote Sensing is a powerful tool for environmental monitoring because it allows continuous data collection of an area and/or phenomenon identification. Remote Sensing has been used for land use and land cover monitoring, deforestation, crop forecast, weather forecast, reservoirs monitoring, and others. Another application is fire monitoring. As a demonstration of this application, this work addresses the monitoring of fire via the use of Landsat 8 satellite images. It is presented a case of fire in the State of Tocantins, Brazil, in 2014. It was possible to follow fire evolution in a period of 16 days, the Landsat 8 satellites temporal resolution. On the first date the fire had 2km of diameter and increased until around 10km of diameter on the second date. Over the pixels identified as fire a characterization and analysis was built using the spectral response according to the bands of Landsat 8 sensors.</abstract>
		<area>SRE</area>
		<type>Monitoramento de queimadas</type>
		<language>pt</language>
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