Comparison between Ikonos-II and Landsat/ETM+ satellites data in the study of coffee areas

Detalhes bibliográficos
Autor(a) principal: Ramirez, Gláucia Miranda
Data de Publicação: 2006
Outros Autores: Junior, Jurandir Zullo, Assad, Eduardo Delgado, Pinto, Hilton Silveira
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.
id EMBRAPA-4_f3aa2e56265eec66345de66ccd7396ab
oai_identifier_str oai:ojs.seer.sct.embrapa.br:article/7189
network_acronym_str EMBRAPA-4
network_name_str Pesquisa Agropecuária Brasileira (Online)
repository_id_str
spelling 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
_version_ 1793416673797079040