1. Identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | marte.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Repositório | dpi.inpe.br/marte@80/2008/06.19.13.48 |
Última Atualização | 2008:06.19.13.48.52 (UTC) administrator |
Repositório de Metadados | dpi.inpe.br/marte@80/2008/06.19.13.48.53 |
Última Atualização dos Metadados | 2018:06.06.02.48.09 (UTC) administrator |
ISBN | 978-85-17-00055-3 |
Chave de Citação | PitalugaRochSilv:1993:PaAmÁr |
Título | Painel de amostras de áreas para pesquisa agropecuária do Estado de São Paulo |
Formato | Printed, On-line. |
Ano | 1993 |
Data de Acesso | 09 maio 2024 |
Tipo Secundário | CN |
Número de Arquivos | 1 |
Tamanho | 466 KiB |
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2. Contextualização | |
Autor | 1 Pitaluga, Elvira Nóbrega 2 Rocha, Regina Celia Larangeira 3 Silva, Vilma Sirimarco Monteiro da |
Afiliação | 1 Instituto Brasileiro de Geografia e Estatística (IBGE). Diretoria de Geociências. 2 Instituto Brasileiro de Geografia e Estatística (IBGE). Diretoria de Geociências. 3 Instituto Brasileiro de Geografia e Estatística (IBGE). Diretoria de Geociências. |
Editor | Cunha, Roberto Pereira da Dias, Luiz Alberto Vieira |
Nome do Evento | Simpósio Brasileiro de Sensoriamento Remoto, 7 (SBSR). |
Localização do Evento | Curitiba |
Data | 10-14 maio 1993 |
Editora (Publisher) | Instituto Nacional de Pesquisas Espaciais (INPE) |
Cidade da Editora | São José dos Campos |
Volume | 4 |
Páginas | 233-238 |
Título do Livro | Anais |
Organização | Instituto Nacional de Pesquisas Espaciais (INPE) |
Histórico (UTC) | 2008-06-19 13:48:54 :: erich@sid.inpe.br -> administrator :: 2009-06-02 19:11:09 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:50:50 :: erich@sid.inpe.br -> marciana :: 2011-02-16 12:51:05 :: marciana -> administrator :: 1993 2018-06-06 02:48:09 :: administrator -> :: 1993 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Resumo | The Crop Forecasting Project is part of the program for improvement the brazilian agricultural statistical data. Its main objective is to improve the quality of the data needed for planning the agricultural sector in the country. This Project has been trying to establish an efficient data collection system based upon an stratified area sample design. The frame from where the sample is selected was constructed according to a land use stratification methodology, which subdivided the frame into count units and segments (sample unit), with the use of visual interpretation techniques, data analysis and cartographic documentation. Because of its versatility the area sampling frame is considered basic for the selection of sample of segments. Its main objective is to simplify the process of determination the sample units, allowing that the investigation of the sample data be done in a very efficient way, increasing the precision of its results. The survey which has been carried on since ] 987, includes the Distrito Federal and the States of Paraná, Santa Catarina and São Paulo. Because it was the last work done, the sampling frame constructed for the State of São Paulo incorporated all of the methodological experience acquired on this period and that's was the reason for choosing for presentation. Among others changes it is possible to emphasize that for the first time it was treated separately big fields from small ones in the agricultural strata with the aim of enhancing the farming structuring. Ali of the stratification work was done in a municipal basis and because of that the data collection supervisors were asked to draw on municipios maps the spacial distribution of crops in each particular area of work. Appart from that field trips for data checking were done with the objective of identifying spectral signatures on sattelite images, scale 1: 100.000, color composition, channels 3, 4 and 5 with blue, green and red filters, respectively. With this methodology it was possible to define the strata according to the intensity use of the agriculture, pasture or forest land. The field work consisted on the investigation of 658 sample segments, with the sample allocated to the strata according to probability proportion to the size of the stratum (number of segments). The principIes variables investigated during the two years where the survey was carried on were: planted area; to be planted and harvested area, including the obtained and expected yield for 13 principal crops in the State of São Paulo. International experience has been proved that this system of data collection is the most effective when considering time, costs and precision of results. |
Área | SRE |
Tipo | Monitoramento e Inventário de Recursos Renováveis e Meio Ambiente |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/dpi.inpe.br/marte@80/2008/06.19.13.48 |
URL dos dados zipados | http://urlib.net/zip/dpi.inpe.br/marte@80/2008/06.19.13.48 |
Idioma | pt |
Arquivo Alvo | 233-238.pdf |
Grupo de Usuários | erich@sid.inpe.br administrator |
Visibilidade | shown |
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5. Fontes relacionadas | |
Repositório Espelho | dpi.inpe.br/marte@80/2007/10.17.19.59 |
Acervo Hospedeiro | dpi.inpe.br/banon/2003/12.10.19.30 |
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6. Notas | |
Campos Vazios | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group identifier issn keywords label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype |
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