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		<secondarykey>INPE-15895-PRE/10505</secondarykey>
		<isbn>978-85-17-00044-7</isbn>
		<citationkey>GussoAdaForRudRiz:2009:AnSéTe</citationkey>
		<title>Análise de séries temporais EVI/MODIS para a estimativa da área cultivada com soja no Rio Grande do Sul</title>
		<format>DVD, On-line.</format>
		<year>2009</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1131 KiB</size>
		<author>Gusso, Anibal,</author>
		<author>Adami, Marcos,</author>
		<author>Formaggio, Antônio Roberto,</author>
		<author>Rudorff, Bernardo Friedrich Theodor,</author>
		<author>Rizzi, Rodrigo,</author>
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		<group>DSR-OBT-INPE-MCT-BR</group>
		<group>DSR-OBT-INPE-MCT-BR</group>
		<group>DSR-OBT-INPE-MCT-BR</group>
		<group>DSR-OBT-INPE-MCT-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
		<affiliation>Universidade Federal de Pelotas</affiliation>
		<electronicmailaddress>anibal@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>adami@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>formag@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>bernardo@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>rodrigo.rizzi@ufpel.edu.br</electronicmailaddress>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Galvão, Lênio Soares,</editor>
		<e-mailaddress>lise@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)</conferencename>
		<conferencelocation>Natal</conferencelocation>
		<date>25-30 abr. 2009</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>207-213</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>crop area estimates, agriculture, EVI/MODIS, time-series, estimativa de áreas agrícolas, agricultura, EVI/MODIS, séries temporais.</keywords>
		<abstract>Agricultural forecasts estimates of soybean crop need to be accurate and timely in order to be adequately used by decision makers from the agribusiness sector of this commodity.  Although soybean crop is cultivated under high level of agricultural practices its area estimation in Brazil is mainly based on traditional and subjective methods. The main goal of this study was to derive a method to estimate soybean crop area using EVI (Enhanced Vegetation Index) time-series from the MODIS sensor onboard of the Terra satellite. This research was carried out for 223 municipalities in Rio Grande do Sul State during the period of five crop years (2002/03 to 2007/08). The estimated soybean areas, at municipal level, using the EVI time-series, were compared to the official statistics provided by IBGE using regression analysis. Regression analysis and statistics of results are encouraging. The overall results shown a slightly overestimation obtained with this approach. EVI/MODIS estimated area explained 94% of the municipal soybean crop area variation indicating that it has great potential to accurately estimate municipal soybean area with the advantage of providing anticipated information prior to the soybean harvest. This method must be evaluated over another regions.</abstract>
		<area>SRE</area>
		<subject>Agricultura</subject>
		<session>Agricultura</session>
		<type>Agricultura</type>
		<language>pt</language>
		<targetfile>207-213.pdf</targetfile>
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		<usergroup>lise@dpi.inpe.br</usergroup>
		<usergroup>marciana</usergroup>
		<usergroup>erich@sid.inpe.br</usergroup>
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		<readergroup>anibal.gusso@ufrgs.br</readergroup>
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		<sponsor>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)</sponsor>
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