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		<isbn>978-85-17-00088-1</isbn>
		<label>59508</label>
		<citationkey>SantosBaptMour:2017:SaÍnVe</citationkey>
		<title>Sazonalidade do Índice de Vegetação por Diferença Normalizada (NDVI) a partir de dados do sensor OLI em área de Caatinga e Pastagem</title>
		<format>Internet</format>
		<year>2017</year>
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		<author>Santos, Cloves Vilas Boas dos,</author>
		<author>Baptista, Gustavo Macedo de Mello,</author>
		<author>Moura, Magna Soelma Beserra de,</author>
		<electronicmailaddress>clovesvilasboas@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>6679-6685</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Remote Sensing has been used in surveys with greater frequency to allow the analysis of the surface without the contact with the targets, allowing to identify biophysical conditions of the vegetation and understanding its photosynthetic dynamics. This study aimed to analyze the seasonal behavior of the Normalized Difference Vegetation Index (NDVI) in the Caatinga area. The study was carried out in an area with predominance of Caatinga and Pasture, in Petrolina-PE. We used 14 multispectral images of the OLI sensor representing rainy and dry periods between 2013 and 2015. NDVI was determined using the red and infrared bands. Precipitation (P) was recorded through a micrometeorological station in order to understand the relationship between NDVI and the occurrence of rainfall in the region. The results showed seasonal variations throughout the studied period, with higher NDVI values in January / 2014 for the Caatinga area reaching 0.628, and in June / 2014 for Pasture reaching 0.333. The lowest indexes occurred before the rainy season, with 0.313 in September / 2014 in the Caatinga and 0.128 in October / 2013 in the Pasture. The NDVI and P ratio in the studied areas showed similarity between May / 2013 and June / 2014, and January / 2015, differing in September / 2014 and between August and November / 2015, when the lowest precipitation values . This is justified by the reduction of the photosynthetic activity of the plants in this period, with the absence of water in the soil. Therefore, with the use of multispectral data it was possible to analyze the photosynthetic dynamics of the vegetation, identifying that this dynamics is related to the rainfall.</abstract>
		<area>SRE</area>
		<type>Landsat OLI</type>
		<language>pt</language>
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