Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250 https://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019 |
Resumo: | 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. |
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Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil.Satellite imageOptical sensorMultispectralRGB false compositionNDVISensoriamento RemotoSatéliteAgriculturaSatellitesImage analysisImage interpretationTropical agriculturemonitoringAbstract: 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.IEDA DEL’ARCO SANCHES, INPEALFREDO JOSE BARRETO LUIZ, CNPMAB MONTIBELLER, University of TartuB SCHUTZ, INIVAPKLEBER TRABAQUINI, EpagriISAQUE DANIEL ROCHA EBERHARDT, UnBANTONIO ROBERTO FORMAGGIO, INPELUÍS EDUARDO PINHEIRO MAURANO, INPE.SANCHES, I. D.LUIZ, A. J. B.MONTIBELLER, B.SCHULTZ, B.TRABAQUINI, K.EBERHARDT, D. S.FORMAGGIO, A. R.MAURANO, L. E. P.2019-12-07T00:36:54Z2019-12-07T00:36:54Z2019-12-0620192019-12-07T00:36:54Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInternational 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.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250https://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-12-07T00:37:00Zoai:www.alice.cnptia.embrapa.br:doc/1116250Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-12-07T00:37falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-12-07T00:37Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
title |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
spellingShingle |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. SANCHES, I. D. Satellite image Optical sensor Multispectral RGB false composition NDVI Sensoriamento Remoto Satélite Agricultura Satellites Image analysis Image interpretation Tropical agriculture monitoring |
title_short |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
title_full |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
title_fullStr |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
title_full_unstemmed |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
title_sort |
Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. |
author |
SANCHES, I. D. |
author_facet |
SANCHES, I. D. LUIZ, A. J. B. MONTIBELLER, B. SCHULTZ, B. TRABAQUINI, K. EBERHARDT, D. S. FORMAGGIO, A. R. MAURANO, L. E. P. |
author_role |
author |
author2 |
LUIZ, A. J. B. MONTIBELLER, B. SCHULTZ, B. TRABAQUINI, K. EBERHARDT, D. S. FORMAGGIO, A. R. MAURANO, L. E. P. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
SANCHES, I. D. LUIZ, A. J. B. MONTIBELLER, B. SCHULTZ, B. TRABAQUINI, K. EBERHARDT, D. S. FORMAGGIO, A. R. MAURANO, L. E. P. |
dc.subject.por.fl_str_mv |
Satellite image Optical sensor Multispectral RGB false composition NDVI Sensoriamento Remoto Satélite Agricultura Satellites Image analysis Image interpretation Tropical agriculture monitoring |
topic |
Satellite image Optical sensor Multispectral RGB false composition NDVI Sensoriamento Remoto Satélite Agricultura Satellites Image analysis Image interpretation Tropical agriculture monitoring |
description |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-07T00:36:54Z 2019-12-07T00:36:54Z 2019-12-06 2019 2019-12-07T00:36:54Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
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. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250 https://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019 |
identifier_str_mv |
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. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250 https://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503485462413312 |