<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>marte2.sid.inpe.br 802</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP6W34M/3PS44L4</identifier>
		<repository>sid.inpe.br/marte2/2017/10.23.17.10.32</repository>
		<lastupdate>2017:10.23.17.10.32 dpi.inpe.br/marte2/2013/05.17.15.03.06 banon</lastupdate>
		<metadatarepository>sid.inpe.br/marte2/2017/10.23.17.10.33</metadatarepository>
		<metadatalastupdate>2018:06.06.03.02.42 dpi.inpe.br/marte2/2013/05.17.15.03.06 administrator {D 2017}</metadatalastupdate>
		<isbn>978-85-17-00088-1</isbn>
		<label>60150</label>
		<citationkey>SilvaSoPeJuPeSa:2017:AnPaVe</citationkey>
		<title>Análise dos padrões da vegetação e da precipitação no Parque Nacional do Caparaó entre 2001 e 2014</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1212 KiB</size>
		<author>Silva, Rosane Gomes,</author>
		<author>Souza, Kaíse Barbosa de,</author>
		<author>Peluzio, Telma Machado de Oliveira,</author>
		<author>Juvanhol, Ronie Silva,</author>
		<author>Peluzio, João Batista Esteves,</author>
		<author>Santos, Alexandre Rosa dos,</author>
		<electronicmailaddress>rosanegomes.eaa@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>639-645</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Climate variations are main change agent in vegetation dynamics, and the precipitation is one of factors that affect in different ways their growth according to the intensity, duration and distribution. Detection of disturbances in weather patterns, could mean the alteration of natural landscapes in a given area and in its benefits. In this context, the objective of this study was to identify anomalies in behavior patterns of vegetation and precipitation using of remote sensing time series in Caparaó National Park, and its relations to the occurrence of La Niña and El Niño events. Anomalies time series were generated for EVI and NDVI indices of the MODIS sensor and TRMM satellite precipitation between 2001 and 2014. There was a standard of anomaly peaks wich positive and negative values in all series, except for the day 2005/12/03 for NDVI, wich the value was -0.28, extremely out of the patterns found in the NDVI time serie. This can be explained by the El Niño occurrence, low intensity between 2005 and 2006, which results in impacts to the study area in mid-December and January. The use of remote sensing time series is suitable for the study of behavior patterns of vegetation and rainfall. However, in case of maximum pixel composition images, anomalies will be observed if its persistence corresponds the period considered for obtaining of image.</abstract>
		<area>SRE</area>
		<type>Paisagens naturais</type>
		<language>pt</language>
		<targetfile>60150.pdf</targetfile>
		<usergroup>banon</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>urlib.net/www/2011/03.29.20.55</mirrorrepository>
		<nexthigherunit>8JMKD3MGP6W34M/3PMFNUS</nexthigherunit>
		<citingitemlist>sid.inpe.br/marte2/2017/09.25.14.55 3</citingitemlist>
		<hostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</hostcollection>
		<username>banon</username>
		<lasthostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</lasthostcollection>
		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.23.17.10.32</url>
	</metadata>
</metadatalist>