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		<isbn>978-85-17-00088-1</isbn>
		<label>59605</label>
		<citationkey>SimõesAnjLeiNóbLim:2017:AnEsDe</citationkey>
		<title>Análise espaço-temporal e detecção de mudanças da cobertura vegetal na microbacia hidrográfica do Rio Farinhas/PB ? Brasil, utilizando o NDVI</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1004 KiB</size>
		<author>Simões, Ewerton Medeiros,</author>
		<author>Anjos, Denize Monteiro dos,</author>
		<author>Leite, Ana Claudia Caetano Pinheiro,</author>
		<author>Nóbrega, Gisela Formiga Queiroz,</author>
		<author>Lima, Joedla Rodrigues,</author>
		<electronicmailaddress>ewertonscp@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>7345-7351</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>In face of the many techniques used for the monitoring and evaluation of changes in structure, physiognomy and dynamics in forest cover over time highlights the use of Normalized Difference Vegetation Index (NDVI). This index allows us to do analyses, at different scales of the vegetation cover of a given region, being acquired by the ratio between values of reflectance of bands in the near infrared and red. In view of theforegoing, the objective of this study was to map the change of vegetation cover in the watershed of the Rio Farinha, through (NDVI) in the period from 2005 to 2015. In this study were used images of the dry period of the satellites Landsat 5 TM (2005) and Landsat 8 (2015). The values obtained with the NDVI proved to be quite efficient and accurate for the identification of the vegetation cover of the watershed of the Rio Farinha, we can observe a considerable advance in the degradation of the condition of plant cover in the watershed of the study area, between the years analyzed, caused mainly by agricultural activities and mining activities in an unsustainable way in the region, especially on the banks of water bodies. The employment of the software QGIS and the use of images from satellites Landsat 5 and Landsat 8, if configured as important tools for the acquisition and processing of data for environmental monitoring.</abstract>
		<area>SRE</area>
		<type>Paisagens naturais</type>
		<language>pt</language>
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