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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
06/12/2019 |
Data da última atualização: |
06/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SANCHES, I. D.; LUIZ, A. J. B.; MONTIBELLER, B.; SCHULTZ, B.; TRABAQUINI, K.; EBERHARDT, D. S.; FORMAGGIO, A. R.; MAURANO, L. E. P. |
Afiliação: |
IEDA DEL’ARCO SANCHES, INPE; ALFREDO JOSE BARRETO LUIZ, CNPMA; B MONTIBELLER, University of Tartu; B SCHUTZ, INIVAP; KLEBER TRABAQUINI, Epagri; ISAQUE DANIEL ROCHA EBERHARDT, UnB; ANTONIO ROBERTO FORMAGGIO, INPE; LUÍS EDUARDO PINHEIRO MAURANO, INPE. |
Título: |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42, n. 3, p. 149-156, 2019. Edition of Proceedings of ISPRS-GEOGLAM-ISRS Joint Int. Workshop on Earth Observations for Agricultural Monitoring, 18-20 February 2019, New Delhi, India. |
DOI: |
https://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: 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. MenosAbstract: 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... Mostrar Tudo |
Palavras-Chave: |
Multispectral; NDVI; Optical sensor; RGB false composition; Satellite image. |
Thesagro: |
Agricultura; Satélite; Sensoriamento Remoto. |
Thesaurus Nal: |
Image analysis; Image interpretation; monitoring; Satellites; Tropical agriculture. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206410/1/Luiz-Understanding-Dynamic-2019.pdf
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Marc: |
LEADER 02964naa a2200373 a 4500 001 2116250 005 2019-12-06 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019$2DOI 100 1 $aSANCHES, I. D. 245 $aUnderstanding the dynamic of tropical agriculture for remote sensing applications$ba case study of Southeastern Brazil.$h[electronic resource] 260 $c2019 520 $aAbstract: 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. 650 $aImage analysis 650 $aImage interpretation 650 $amonitoring 650 $aSatellites 650 $aTropical agriculture 650 $aAgricultura 650 $aSatélite 650 $aSensoriamento Remoto 653 $aMultispectral 653 $aNDVI 653 $aOptical sensor 653 $aRGB false composition 653 $aSatellite image 700 1 $aLUIZ, A. J. B. 700 1 $aMONTIBELLER, B. 700 1 $aSCHULTZ, B. 700 1 $aTRABAQUINI, K. 700 1 $aEBERHARDT, D. S. 700 1 $aFORMAGGIO, A. R. 700 1 $aMAURANO, L. E. P. 773 $tInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences$gv. 42, n. 3, p. 149-156, 2019. Edition of Proceedings of ISPRS-GEOGLAM-ISRS Joint Int. Workshop on Earth Observations for Agricultural Monitoring, 18-20 February 2019, New Delhi, India.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio-Norte. |
Data corrente: |
09/09/2022 |
Data da última atualização: |
13/10/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 5 |
Autoria: |
OLIVEIRA, E. G. de; SANTOS, F. J. de S.; OLIVEIRA, V. Q. de; MESQUISTA, P. E. C.; MORAES, M. G. de; SOUSA, R. R. de; GOMES, I. G. R. F. |
Afiliação: |
ELENISE GONÇALVES DE OLIVEIRA, Universidade Federal do Ceará; FRANCISCO JOSE DE SEIXAS SANTOS, CPAMN; VALDEMIR QUEIROZ DE OLIVEIRA, CPAMN; PEDRO EYMARD CAMPOS MESQUISTA, Universidade Federal do Ceará; MANUELLA GAZZINEO DE MORAES, Universidade Federal do Ceará; ROMMEL ROCHA DE SOUSA, Universidade Federal do Ceará; IGOR GABRIEL RODRIGUES FERREIRA GOMES, Universidade Federal do Ceará. |
Título: |
Influence of stocking density on water quality and growth performance in production of juvenile pirarucu, Arapaima gigas, in irrigation canals. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Brazilian Journal of Development, Curitiba, v. 6, n. 2, p. 8725-8743, Feb. 2020. |
Idioma: |
Português |
Conteúdo: |
The pirarucu is reared in cages under intensive systems or ponds under semi-intensive systems. This research evaluates the effect of stocking density on water quality, survival and growth of juvenile pirarucu reared in net pens located in irrigation canals. |
Palavras-Chave: |
Canais de irrigação; Densidade de estocagem; Hapas. |
Thesagro: |
Pirarucu. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146285/1/InfluenceStockingDensityWaterQualityBJDv6n2a2020.pdf
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Marc: |
LEADER 01063naa a2200241 a 4500 001 2146285 005 2022-10-13 008 2020 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, E. G. de 245 $aInfluence of stocking density on water quality and growth performance in production of juvenile pirarucu, Arapaima gigas, in irrigation canals.$h[electronic resource] 260 $c2020 520 $aThe pirarucu is reared in cages under intensive systems or ponds under semi-intensive systems. This research evaluates the effect of stocking density on water quality, survival and growth of juvenile pirarucu reared in net pens located in irrigation canals. 650 $aPirarucu 653 $aCanais de irrigação 653 $aDensidade de estocagem 653 $aHapas 700 1 $aSANTOS, F. J. de S. 700 1 $aOLIVEIRA, V. Q. de 700 1 $aMESQUISTA, P. E. C. 700 1 $aMORAES, M. G. de 700 1 $aSOUSA, R. R. de 700 1 $aGOMES, I. G. R. F. 773 $tBrazilian Journal of Development, Curitiba$gv. 6, n. 2, p. 8725-8743, Feb. 2020.
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