<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Thesis">
		<site>mtc-m12.sid.inpe.br 800</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>6qtX3pFwXQZ4PKzA/o5LVN</identifier>
		<repository>sid.inpe.br/deise/2000/11.06.10.12</repository>
		<lastupdate>2016:09.26.18.59.50 sid.inpe.br/banon/2001/04.06.10.52 simone</lastupdate>
		<metadatarepository>sid.inpe.br/banon/2001/04.03.15.39.12</metadatarepository>
		<metadatalastupdate>2023:04.04.18.25.29 sid.inpe.br/banon/2001/04.06.10.52 simone {D 2000}</metadatalastupdate>
		<secondarykey>INPE-7527-TDI/734</secondarykey>
		<label>8839</label>
		<citationkey>Moura:2000:ImMuTM</citationkey>
		<title>Imagens multitemporais TM/Landsat-5 da época de pré-plantio na estimativa de áreas destinadas a cultura de verão</title>
		<alternatetitle>TM/Landsat-5 data from pre crop season to estimate the area to be planted with summer crop</alternatetitle>
		<course>SER-SPG-INPE-MCT-BR</course>
		<year>2000</year>
		<secondarydate>20000904</secondarydate>
		<date>2000-03-21</date>
		<thesistype>Dissertação (Mestrado em Sensoriamento Remoto)</thesistype>
		<secondarytype>TDI</secondarytype>
		<numberofpages>122</numberofpages>
		<numberoffiles>2</numberoffiles>
		<size>531 KiB</size>
		<author>Moura, Valdir,</author>
		<group>SER-SPG-INPE-MCT-BR</group>
		<committee>Formaggio, Antonio Roberto (orientador/presidente),</committee>
		<committee>Epiphanio, José Carlos Neves (orientador),</committee>
		<committee>Novo, Evlyn Márcia de Moraes,</committee>
		<committee>Antunes, Mauro Antonio Homem,</committee>
		<committee>Rocha, Jansle Vieira da,</committee>
		<university>Instituto Nacional de Pesquisas Espaciais (INPE)</university>
		<city>Sao Jose dos Campos</city>
		<transferableflag>1</transferableflag>
		<keywords>agronomia, estatística agrícola, cultura de verão, uso e ocupação da terra, sistemas de informação geográfica (SIG), mapeador tematico (Landsat), crop inventories, land use, thematic mappers (Landsat), geographic information systems.</keywords>
		<abstract>A estimativa das Areas Destinadas a Culturas de Verao (ADCV)e das Areas Plantadas por Cultura por Municipio (APPCM)estao entre as principais variaveis envolvidas na previsao de safras usando sensoriamento remoto. No Brasil, a obtencao destas informacoes e feita de maneira indireta pelo Instituto Brasileiro de Geografia e Estatistica (IBGE)e divulgadas atraves do Levantamento Sistematico de Producao Agricola (LSPA). Devido a dificuldade em adquirir imagens orbitais no verao, em funcao da grande cobertura de nuvens, torna-se necessario trabalhar com dados obtidos nas epocas de pre-plantio, quando se pretende realizar estatisticas agricolas utilizando sensoriamento remoto. No presente trabalho, avaliou-se a utilizacao de dados multitemporais do sensor TM/Landsat-5 obtidos nos meses de julho e setembro de 1998 (epoca de pre-plantio)para a estimativa das ADCVS e APPCM em uma area do Estado de Sao Paulo composta pelos municipios de Hortolandia, Sumare, Nova Odessa, Americana, Santa Barbara d'Oeste, Rio das Pedras, Iracemapolis e Piracicaba. Foram utilizadas tecnicas de geoprocessamento e processamento digital de imagens para o tratamento dos dados disponiveis. Utilizaram-se classificacoes supervisionadas (MAXVER)e nao-supervisionadas (ISOSEG)para os dados em numero digital, reflectancia e imagens NDVI multitemporais, na tentativa de discriminar os talhoes de maior probabilidade de serem cultivados com ADCVS e posteriormente checadas no campo para a obtencao das APPCMS. A exatidao das classificacoes foi avaliada atraves de um sistema de amostragem desenvolvido para a regiao de estudo, e as estimativas de areas foram corrigidas atraves da matriz de erro construida a partir destas avaliacoes. As tecnicas de classificacao utilizadas permitiram uma qualidade classificada como excelente segundo o indice Kappa. Os resultados obtidos mostraram que a metodologia aplicada nesta pesquisa e uma alternativa viavel para determinar com precisao, em nivel municipal, as ADCVS e as APPCM. Porem, houve diferencas significativas entre estes resultados e as estimativas divulgadas pelas entidades oficiais. ABSTRACT: The estimate of the Area of Land to be planted with annual crops and its stratification by municipality are important variables in crop forecast. Nowadays in Brazil, these information are obtained by the Brazilian Institute of Geography and Statistics (IBGE)and published under the report Assessment of the Agricultural Production. Due to the high cloud cover in the main crop growing season (October to March)it is difficult to acquire good orbital images. Thus, one alternative is to work with remote sensing data from dates before the crop growing season. This work presents the use of multitemporal TM/Landsat-5 data gathered on July and September of 1998 (before the summer growing season)in order to estimate the area of land to be planted with summer crops in an area of Sao Paulo State, Brazil. Geographic Information Systems (GIS)and digital image processing techniques were applied for treatment of the available data. Supervised and non-supervised classifications were used for data in digital number and reflectance formats and for the multitemporal Normalized Difference Vegetation Index (NDVI)images. The objective was to discriminate the tracts with higher probability to become planted with summer crops. Classification accuracy's were evaluated using a sampling system developed basically for this study region. The estimated areas were corrected using the error matrix derived from these evaluations. The classification techniques presented an excellent level according to the kappa index. The proportion of crops stratified by municipalities was derived by a field work during the crop growing season. These proportion coefficients were applied onto the area of land to be planted with summer crops (derived from TM/Landsat-5 data). Thus, it was possible to derive the area of each summer crop by municipality. The discrepancies between official statistics and our results were attributed to the sampling and to the stratification procedures. Nevertheless, this methodology can be improved in order to provide good crop area estimatives using remote sensing data, despite the cloud cover during the growing season.</abstract>
		<area>SRE</area>
		<language>pt</language>
		<targetfile>publicacao.pdf</targetfile>
		<usergroup>administrator</usergroup>
		<usergroup>sergio</usergroup>
		<usergroup>simone</usergroup>
		<readergroup>administrator</readergroup>
		<readergroup>sergio</readergroup>
		<readergroup>simone</readergroup>
		<visibility>shown</visibility>
		<rightsholder>originalauthor yes locatedauthor no</rightsholder>
		<copyholder>SID/SCD</copyholder>
		<readpermission>deny from all</readpermission>
		<documentstage>not transferred</documentstage>
		<nexthigherunit>8JMKD3MGPCW/3F3NU5S</nexthigherunit>
		<hostcollection>sid.inpe.br/banon/2001/04.06.10.52</hostcollection>
		<lasthostcollection>sid.inpe.br/banon/2001/04.06.10.52</lasthostcollection>
		<supervisor>Epiphanio, José Carlos Neves,</supervisor>
		<supervisor>Formaggio, Antonio Roberto,</supervisor>
		<url>http://mtc-m12.sid.inpe.br/rep-/sid.inpe.br/deise/2000/11.06.10.12</url>
	</metadata>
</metadatalist>