Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/7189 |
Resumo: | The objective of this work was to assess the impact of the better spatial and radiometric resolutions of the Ikonos-II panchromatic image, for the identification of coffee (Coffea arabica) planting areas, in comparison with a Landsat/ETM+ image. The area of study is situated in the city of Pedregulho, State of São Paulo, Brazil, where 50 coffee fields were selected. Information about plants features, like height, age, spacing and variety were collected. Images allowed the identification of coffee areas with different field features, and the calibrated Ikonos-II image showed the best results. Considering the areas with similar field features, images from both satellites were not efficient in the coffee identification. The atmospheric and radiometric corrections applied on the Ikonos-II image did not improve the analyses results. More than half of the identified areas in the Ikonos-II image could be found in the Landsat/ETM+ image (68%). The significant correlation between Landsat/ETM+ band 4 and Ikonos-II panchromatic channel shows a link between both satellite images. |
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Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areasComparação de dados dos satélites Ikonos-II e Landsat/ETM+ no estudo de áreas cafeeirasCoffea arabica; remote sensing; panchromatic imageCoffea arabica; sensoriamento remoto; imagem pancromáticaThe objective of this work was to assess the impact of the better spatial and radiometric resolutions of the Ikonos-II panchromatic image, for the identification of coffee (Coffea arabica) planting areas, in comparison with a Landsat/ETM+ image. The area of study is situated in the city of Pedregulho, State of São Paulo, Brazil, where 50 coffee fields were selected. Information about plants features, like height, age, spacing and variety were collected. Images allowed the identification of coffee areas with different field features, and the calibrated Ikonos-II image showed the best results. Considering the areas with similar field features, images from both satellites were not efficient in the coffee identification. The atmospheric and radiometric corrections applied on the Ikonos-II image did not improve the analyses results. More than half of the identified areas in the Ikonos-II image could be found in the Landsat/ETM+ image (68%). The significant correlation between Landsat/ETM+ band 4 and Ikonos-II panchromatic channel shows a link between both satellite images.O objetivo deste trabalho foi avaliar o impacto do aumento da resolução espacial e radiométrica da imagem pancromática do Ikonos-II na identificação de plantios de café (Coffea arabica), em comparação com as imagens do Landsat/ETM+. A área de estudo está localizada no Município de Pedregulho, SP, onde foram selecionados 50 talhões com plantios de café, e foram levantados dados referentes à altura, idade, espaçamento e variedade de cada talhão. As imagens permitiram a identificação de talhões com características diferentes em campo, tendo-se destacado a imagem do Ikonos-II, que apresentou melhor desempenho. Para os talhões com características iguais em campo, as imagens analisadas não se mostraram eficientes, independentemente do satélite utilizado. As correções atmosféricas e radiométricas, na imagem do Ikonos-II, não proporcionaram ganho efetivo nas análises realizadas. A maioria dos talhões identificados na imagem do Ikonos-II pode ser localizada na imagem do Landsat/ETM+ (68%). A correlação significativa entre a banda 4 do Landsat/ETM+ e o canal pancromático do Ikonos-II indica uma forma de ligação entre as imagens dos dois satélites.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraRamirez, Gláucia MirandaJunior, Jurandir ZulloAssad, Eduardo DelgadoPinto, Hilton Silveira2006-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7189Pesquisa Agropecuaria Brasileira; v.41, n.4, abr. 2006; 661-666Pesquisa Agropecuária Brasileira; v.41, n.4, abr. 2006; 661-6661678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7189/4234info:eu-repo/semantics/openAccess2014-09-29T17:53:49Zoai:ojs.seer.sct.embrapa.br:article/7189Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-29T17:53:49Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas Comparação de dados dos satélites Ikonos-II e Landsat/ETM+ no estudo de áreas cafeeiras |
title |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas |
spellingShingle |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas Ramirez, Gláucia Miranda Coffea arabica; remote sensing; panchromatic image Coffea arabica; sensoriamento remoto; imagem pancromática |
title_short |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas |
title_full |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas |
title_fullStr |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas |
title_full_unstemmed |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas |
title_sort |
Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas |
author |
Ramirez, Gláucia Miranda |
author_facet |
Ramirez, Gláucia Miranda Junior, Jurandir Zullo Assad, Eduardo Delgado Pinto, Hilton Silveira |
author_role |
author |
author2 |
Junior, Jurandir Zullo Assad, Eduardo Delgado Pinto, Hilton Silveira |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Ramirez, Gláucia Miranda Junior, Jurandir Zullo Assad, Eduardo Delgado Pinto, Hilton Silveira |
dc.subject.por.fl_str_mv |
Coffea arabica; remote sensing; panchromatic image Coffea arabica; sensoriamento remoto; imagem pancromática |
topic |
Coffea arabica; remote sensing; panchromatic image Coffea arabica; sensoriamento remoto; imagem pancromática |
description |
The objective of this work was to assess the impact of the better spatial and radiometric resolutions of the Ikonos-II panchromatic image, for the identification of coffee (Coffea arabica) planting areas, in comparison with a Landsat/ETM+ image. The area of study is situated in the city of Pedregulho, State of São Paulo, Brazil, where 50 coffee fields were selected. Information about plants features, like height, age, spacing and variety were collected. Images allowed the identification of coffee areas with different field features, and the calibrated Ikonos-II image showed the best results. Considering the areas with similar field features, images from both satellites were not efficient in the coffee identification. The atmospheric and radiometric corrections applied on the Ikonos-II image did not improve the analyses results. More than half of the identified areas in the Ikonos-II image could be found in the Landsat/ETM+ image (68%). The significant correlation between Landsat/ETM+ band 4 and Ikonos-II panchromatic channel shows a link between both satellite images. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-04-01 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7189 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/7189 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7189/4234 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.41, n.4, abr. 2006; 661-666 Pesquisa Agropecuária Brasileira; v.41, n.4, abr. 2006; 661-666 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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