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		<isbn>978-85-17-00088-1</isbn>
		<label>59952</label>
		<citationkey>LageBapt:2017:AvExÁr</citationkey>
		<title>Avaliação da Expansão de Áreas Urbanas Brasileiras e seus Impactos Socioambientais por meio da Integração dos índices NTL e NDVI</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1432 KiB</size>
		<author>Lage, Cíntia Alvim,</author>
		<author>Baptista, Gustavo Macedo de Mello,</author>
		<electronicmailaddress>cintia.alvim92@gmail.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>8094-8101</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The present study aims to analyze the growth of urban sprawl in the metropolitan areas of São Paulo, Rio de Janeiro and Belo Horizonte, using data from the Defense Meteorological Satellite and the Operational Linescan System sensor, combined with NDVI data from the MOD13A3 sensor. Scenes from 2001 to 2013 were acquired for the three metropolitan regions and by means of processing methods, had its urban sprawl analyzed. The saturation originated from the urban lights was corrected with the VANUI index, which correlates vegetation data with the nighttime light. The results showed a tendency of growth on all the studied sites, especially in the case of the metropolitan area of Belo Horizonte. This study can help predict future changes in the landscape as well as to use nighttime light data as a tool for more studies to come. The nighttime light data showed itself to be useful in studies concerned urban areas, when applied with the VANUI index.</abstract>
		<area>SRE</area>
		<type>Urbanização</type>
		<language>pt</language>
		<targetfile>59952.pdf</targetfile>
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		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.16.37</url>
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