Resultado da Pesquisa
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1 referência encontrada buscando em 17 dentre 17 Arquivos.
Data e hora local de busca: 23/04/2024 23:28.
1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TUEK52
Repositóriosid.inpe.br/mtc-m21c/2019/09.02.17.15   (acesso restrito)
Última Atualização2019:09.02.17.15.40 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/09.02.17.15.40
Última Atualização dos Metadados2020:01.06.11.42.18 (UTC) administrator
Chave SecundáriaINPE--PRE/
ISSN16821750
Chave de CitaçãoSanchesLMSTEFM:2019:CaStSo
TítuloUnderstanding the dynamic of tropical agriculture for remote sensing applications: A case study of southeastern Brazil
Ano2019
Data de Acesso23 abr. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho8982 KiB
2. Contextualização
Autor1 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 Curriculo1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JGJQ
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2
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7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
8 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 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 Autor1 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
EditorRay, S. S.
Navalgund, R.
Justice, C.
Nome do EventoISPRS-GEOGLAM-ISRS Joint International Workshop on Earth Observations for Agricultural Monitoring
Localização do EventoNew Delhi, India
Data18-20 Feb.
Editora (Publisher)International Society for Photogrammetry and Remote Sensing
Páginas149-156
Título do LivroProceedings
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
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveSatellite image
Optical sensor
Multispectral
RGB false composition
NDVI
Monitoring
ResumoThe 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.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvosanches_understanding.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy 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
7. Controle da descrição
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