<?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/3PS44MP</identifier>
		<repository>sid.inpe.br/marte2/2017/10.23.17.11.18</repository>
		<lastupdate>2017:10.23.17.11.18 dpi.inpe.br/marte2/2013/05.17.15.03.06 banon</lastupdate>
		<metadatarepository>sid.inpe.br/marte2/2017/10.23.17.11.19</metadatarepository>
		<metadatalastupdate>2018:06.06.03.02.45 dpi.inpe.br/marte2/2013/05.17.15.03.06 administrator {D 2017}</metadatalastupdate>
		<isbn>978-85-17-00088-1</isbn>
		<label>59222</label>
		<citationkey>IlhaPago:2017:AvDeÍn</citationkey>
		<title>Avaliação do desempenho dos índices de vegetação NDVI e SAVI no bioma Caatinga, a partir de imagens do satélite Landsat 8</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>953 KiB</size>
		<author>Ilha, Daniel Brondani,</author>
		<author>Pagotto, Mariana Alves,</author>
		<electronicmailaddress>daniel.ilha@ibama.gov.br</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>677-684</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The vegetation of the Caatinga biome presents seasonal variations, where the climate is characterized by a seasonality in precipitation levels. These variations can be recognized through the interpretation of vegetation indices. The objective of this study was to evaluate the vegetation index by calculating the Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI), in the Caatinga biome of Sergipe state, detecting the seasonal variation and the spectral behavior of vegetated areas -, in different densities of vegetation cover.  Sensor OLI images of the Landsat satellite 8, during January, April, July, August and October of 2015, was used.  A Geographic Information System (GIS) of six sample plots were placed, using a 5x5 pixels for each category: pasture, caatinga vegetation dense and caatinga vegetation altered. The values of the NDVI and SAVI indices were calculated from the pixels mean of the parcels. The results showed highest values of NDVI and SAVI in the months with higher precipitation and lower values in periods of drought. The density of the vegetation cover influenced the values of NDVI and SAVI, with higher values in areas with high vegetation density when compared with lower vegetation density. Moreover, the vegetation of the study area was better discriminated by SAVI index.</abstract>
		<area>SRE</area>
		<type>Floresta e outros tipos de vegetação</type>
		<language>pt</language>
		<targetfile>59222.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/marte2/2017/10.23.17.11.18</url>
	</metadata>
</metadatalist>