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4. | | NOLDIN, J. A.; HERMES, L. C.; FAY, E. F.; EBERHARDT, D. S.; ROSSI, M. A. Persistência do herbicida clomazone no solo e na água quando aplicado na cultura do arroz irrigado, sistema pré-germinado. In:Planta Daninha, Viçosa-MG, v.19, n.3, 2001. p.401-408 Biblioteca(s): Embrapa Meio Ambiente. |
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7. | | SCHULTZ, B.; BERTANI, G.; FORMAGGIO, A. R.; EBERHARDT, D. S.; LUIZ, A. J. B.; ATZBERGER, C. Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images. In: GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS CONFERENCE, 5., 2014, Tessalônica. Proceedings... Tessalônica: Aristotle University of Thessaloniki, 2014. Ref. O.T9 - 085. p. 122. Biblioteca(s): Embrapa Meio Ambiente. |
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8. | | LIMA, M. A. de; EBERHARDT, D. S.; FRIGHETTO, R. T. S.; NOLDIN, J. A.; PESSOA, M. C. P. Y. Preliminary studies on methane mitigation in rice production systems in Santa Catarina, Brazil. In: WORLD CONGRESS OF SOIL SCIENCE, 20., 2014, Jeju Island, South Korea. Soils Embrace Life and Universe. Proceedings... Jeju Island: International Union of Soil Sciences (IUSS), 2014. Ref. O78-5. Biblioteca(s): Embrapa Meio Ambiente. |
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9. | | EBERHARDT, D. S.; LIMA, M. A. de; ANDRADE, S. A. L. de; PESSOA, M. C. P. Y.; NOLDIN, J. A.; OLIVEIRA, L. C. de. Emissão de metano em arroz irrigado em Santa Catarina. In: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 6., 2009, Porto Alegre. Anais... Porto Alegre: Palotti, 2009. p. 163-166 Biblioteca(s): Embrapa Meio Ambiente. |
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10. | | SANCHES, I. D.; LUIZ, A. J. B.; MONTIBELLER, B.; SCHULTZ, B.; TRABAQUINI, K.; EBERHARDT, D. S.; FORMAGGIO, A. R.; MAURANO, L. E. P. Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. 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. Biblioteca(s): Embrapa Meio Ambiente. |
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11. | | LIMA, M. A. de; EBERHARDT, D. S.; PESSOA, M. C. P. Y.; FRIGHETTO, R. T. S.; VALÉRIO NETO, S.; PLEC, D. F.; PINHEIRO, G. F.; OLIVEIRA, D. N. S.; BACAN, M. Emissão de metano em lavouras de arroz irrigado sob sistema pré-germinado. In: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 5.; REUNIÃO DA CULTURADO ARROZ IRRIGADO, 27., 2007, Pelotas. Anais... Pelotas: Embrapa Clima Temperado, 2007. v.2, p.417-419. Biblioteca(s): Embrapa Meio Ambiente. |
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Registros recuperados : 11 | |
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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 |
Circulação/Nível: |
B - 2 |
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
|
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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