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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
06/12/2019 |
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Data da última atualização: |
06/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANCHES, I. D.; LUIZ, A. J. B.; MONTIBELLER, B.; SCHULTZ, B.; TRABAQUINI, K.; EBERHARDT, D. S.; FORMAGGIO, A. R.; MAURANO, L. E. P. |
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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. |
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Título: |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
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Ano de publicação: |
2019 |
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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. |
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DOI: |
https://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Multispectral; NDVI; Optical sensor; RGB false composition; Satellite image. |
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Thesagro: |
Agricultura; Satélite; Sensoriamento Remoto. |
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Thesaurus Nal: |
Image analysis; Image interpretation; monitoring; Satellites; Tropical agriculture. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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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| Registros recuperados : 48 | |
| 7. |  | EPIPHANIO, J. C. N.; GLERIANI, J. M.; FORMAGGIO, A. R.; RUDORFF, B. F. T. Índices de vegetação no sensoriamento remoto da cultura do feijão. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 31, n. 6, p. 445-454, jun. 1996. Título em inglês: Vegetation indices for remote sensing of beans (Phaseolus vulgaris L.).| Biblioteca(s): Embrapa Unidades Centrais. |
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| 13. | | SCHULTZ, B.; FORMAGGIO, A. R.; ATZBERGER, C.; LUIZ, A. J. B.; GOLTZ, E.; MELLO, M. P. Dynamic of sugarcane harvested areas in São Paulo state, Brazil, over the last two decades. GLOBAL LAND PROJECT, OPEN SCIENCE MEETING, 2., 2014, Berlim. Land Transformations: between global challenges and local realities. Proceedings... Berlim: International Geosphere-Biosphere Programme, 2014. p. 512-513.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 14. | | SILVA, G. B. S. da; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; ADAMI, M.; SANO, E. E. Discriminação da cobertura vegetal do Cerrado matogrossense por meio de imagens MODIS. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 2, p. 186-194, fev. 2010 Título em inglês: Discrimination of Cerrado vegetation cover in the state of Mato Grosso using MODIS images.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 16. | | EBERHARDT, I. D. R.; LUIZ, A. J. B.; FORMAGGIO, A. R.; SANCHES, I. D'A. Detecção de áreas agrícolas em tempo quase real com imagens Modis. Pesquisa Agropecuária Brasileira, Brasília, DF., v.50, n.7, p.605-614, jul. 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Unidades Centrais. |
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| 18. | | 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 19. | | TRABAQUINI, K.; SILVA, G. B. S. da; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; GALVÃO, L. S. Dynamics and distribution of anthropic occupation in the Cerrado of Mato Grosso in the period from 1990 to 2008. Geografia, Rio Claro, v. 38, n. 2, p. 209-224, maio/ago. 2013. p. 209-224| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 48 | |
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