1. Identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/3TUEK52 |
Repositório | sid.inpe.br/mtc-m21c/2019/09.02.17.15 (acesso restrito) |
Última Atualização | 2019:09.02.17.15.40 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2019/09.02.17.15.40 |
Última Atualização dos Metadados | 2020:01.06.11.42.18 (UTC) administrator |
Chave Secundária | INPE--PRE/ |
ISSN | 16821750 |
Chave de Citação | SanchesLMSTEFM:2019:CaStSo |
Título | Understanding the dynamic of tropical agriculture for remote sensing applications: A case study of southeastern Brazil |
Ano | 2019 |
Data de Acesso | 23 abr. 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 8982 KiB |
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2. Contextualização | |
Autor | 1 Sanches, Ieda Del'Arco 2 Luiz, Alfredo J. B. 3 Montibeller, B. 4 Schultz, Bruno 5 Trabaquini, Kleber 6 Eberhardt, Isaque Daniel R. 7 Formaggio, Antônio Roberto 8 Maurano, Luís Eduardo Pinheiro |
Identificador de Curriculo | 1 2 3 4 5 6 7 8JMKD3MGP5W/3C9JGJQ |
Grupo | 1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 2 3 4 5 6 7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 8 DIDPI-CGOBT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 3 University of Tartu 4 Geoambiente Sensoriamento Remoto 5 Empresa de Pesquisa Agropecuária e Extensão Rural (EPAGRI) 6 Universidade de Brasília (UnB) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 ieda.sanches@inpe.br 2 alfredo.luiz@embrapa.br 3 bruno.montibeller@ut.ee 4 bruno.schultz@geoambiente.com.br 5 klebertrabaquini@epagri.sc.gov.br 6 isaquedanielre@hotmail.com 7 formag@dsr.inpe.br 8 luis.maurano@inpel.br |
Editor | Ray, S. S. Navalgund, R. Justice, C. |
Nome do Evento | ISPRS-GEOGLAM-ISRS Joint International Workshop on Earth Observations for Agricultural Monitoring |
Localização do Evento | New Delhi, India |
Data | 18-20 Feb. |
Editora (Publisher) | International Society for Photogrammetry and Remote Sensing |
Páginas | 149-156 |
Título do Livro | Proceedings |
Histórico (UTC) | 2019-09-02 17:17:35 :: simone -> administrator :: 2019 2019-09-03 20:29:07 :: administrator -> simone :: 2019 2019-12-06 19:47:55 :: simone -> administrator :: 2019 2020-01-06 11:42:18 :: administrator -> simone :: 2019 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Satellite image Optical sensor Multispectral RGB false composition NDVI Monitoring |
Resumo | The agricultural activity can greatly benefit from remote sensing technology (RS). Optical passive RS has been vastly explored for agricultural mapping and monitoring, in despite of cloud cover issue. This is observed even in the tropics, where frequency of clouds is very high. However, more studies are needed to better understand the high dynamism of tropical agriculture and its impact on the use of passive RS. In tropical countries, such as in Brazil, the use of current agricultural technologies, associated with favourable climate, allow the planting period to be wide and to have plants of varying phenological cycles. In this context, the main objective of the current study is to better understand the dynamics of a selected area in Southeast of São Paulo state, and its impact on the use of orbital passive RS. For that purpose, data (from field and satellite) from 55 agricultural fields, including annual, semi-perennial and perennial crops and silviculture, were acquired between July 2014 and December 2016. Field campaigns were conducted in a monthly base to gather information about the condition of the crops along their development (data available in a website). Field data corresponding to the 2014-2015 crop year were associated with a time series of Landsat-8/OLI RGB false-colour compositions images and MODIS/Terra NDVI profiles. The type of information that can be extracted (such as specie identification, crop management practices adopted, date of harvest, type o production system used etc) by combining passive remote sensing data with field data is discussed in the paper. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Understanding the dynamic... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Understanding the dynamic... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | sanches_understanding.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
Lista de Itens Citando | sid.inpe.br/bibdigital/2013/09.09.15.05 1 |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition format isbn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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