ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Geo UERJ |
Texto Completo: | https://www.e-publicacoes.uerj.br/geouerj/article/view/16931 |
Resumo: | The vegetation indices are used to investigate the properties of spectral vegetation and can be related to the biophysics parameters. In addition, they can also be used to minimize illumination effects caused by the topographic on spectral response that difficult to distinguish vegetation physiognomy. To evaluate the efficiency of vegetation indices to distinguish the vegetation cover in mountainous area, it was calculated two indices from LANDSAT8/OLI multispectral bands that cover the Tijuca Massif, situated on central zone of Rio de Janeiro city. The results revealed that the both vegetation indices (NDVI and SR) had efficiency to separate water bodies and to discriminate vegetation and non-vegetation classes. However, the urban area, shadows and rocks were mixed, while it was not possible to classify the vegetation physiognomy because of the effect solar illumination on the vegetation indices. The forest located at southern slopes, which received less solar illumination at the time the orbital sensor collected the data, had indices similar to herbaceous vegetation, and in this way it was not possible to separate them. While the forest located at northern and western, which were received more solar illumination, had the most elevated indices and it was not confused with other types of land cover. In conclusion, the indices vegetation (IVDN and SR) were not efficient to minimize the topographic effects to discriminate the vegetation physiognomy. On other hand, the indices showed efficient to demonstrate that watersheds located at protected area had more elevated indices than the basin located near de urban area. |
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ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEFnormalized difference vegetation index (NDVI)simple ratio (SR)vegetation indexremote sensingLANDSAT8/OLIíndice de vegetação da diferença normalizada (IVDN)razão simples (RS)índices de vegetaçãosensoriamento remotoThe vegetation indices are used to investigate the properties of spectral vegetation and can be related to the biophysics parameters. In addition, they can also be used to minimize illumination effects caused by the topographic on spectral response that difficult to distinguish vegetation physiognomy. To evaluate the efficiency of vegetation indices to distinguish the vegetation cover in mountainous area, it was calculated two indices from LANDSAT8/OLI multispectral bands that cover the Tijuca Massif, situated on central zone of Rio de Janeiro city. The results revealed that the both vegetation indices (NDVI and SR) had efficiency to separate water bodies and to discriminate vegetation and non-vegetation classes. However, the urban area, shadows and rocks were mixed, while it was not possible to classify the vegetation physiognomy because of the effect solar illumination on the vegetation indices. The forest located at southern slopes, which received less solar illumination at the time the orbital sensor collected the data, had indices similar to herbaceous vegetation, and in this way it was not possible to separate them. While the forest located at northern and western, which were received more solar illumination, had the most elevated indices and it was not confused with other types of land cover. In conclusion, the indices vegetation (IVDN and SR) were not efficient to minimize the topographic effects to discriminate the vegetation physiognomy. On other hand, the indices showed efficient to demonstrate that watersheds located at protected area had more elevated indices than the basin located near de urban area.Os índices de vegetação são utilizados para investigar as propriedades espectrais da vegetação e podem ser relacionados a parâmetros biofísicos. Também podem ser utilizados para minimizar os efeitos de iluminação causados pela topografia na resposta espectral, o que dificulta a discriminação da fisionomia da vegetação. Para avaliar a eficiência dos índices de vegetação na discriminação da cobertura vegetal em áreas montanhosas, foram calculados dois índices de imagens multiespectrais do LANDSAT8/OLI que cobrem o Maciço da Tijuca, situado na área central da cidade do Rio de Janeiro. Os resultados revelaram que ambos índices (IVDN e RS) foram eficientes para separar os corpos d'água e discriminar as classes de vegetação e não-vegetação. Contudo, a área urbana, sombra e rocha ficaram misturadas, enquanto não foi possível classificar a fisionomia da vegetação devido ao efeito da iluminação nos índices de vegetação. A floresta localizada nas encostas sul, que recebia menor iluminação no momento de coleta dos dados pelo sensor orbital, apresentou índices similares à vegetação herbácea e, desta forma, não foi possível separá-las. Enquanto a floresta localizada nas vertentes norte e oeste, que recebiam menos iluminação solar, apresentaram os maiores índices e não confundiu com outras classes de cobertura da terra. Conclui-se que os índices de vegetação (IVDN e RS) não foram eficientes na minimização dos efeitos topográficos na discriminação da fisionomia da vegetação. Por outro lado, os índices mostraram-se eficientes para demonstrar que as bacias hidrográficas situadas em áreas protegidas apresentaram índices mais elevados do que as bacias localizadas próximas às áreas urbanas.Universidade do Estado do Rio de Janeiro2018-06-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.e-publicacoes.uerj.br/geouerj/article/view/1693110.12957/geouerj.2018.16931Geo UERJ; n. 32 (2018): Jan/Jun; e169311981-90211415-7543reponame:Geo UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJporhttps://www.e-publicacoes.uerj.br/geouerj/article/view/16931/24726Copyright (c) 2018 Geo UERJinfo:eu-repo/semantics/openAccessFrancisco, Cristiane NunesGruber, Nina Cardoso2022-02-20T22:02:51Zoai:ojs.www.e-publicacoes.uerj.br:article/16931Revistahttps://www.e-publicacoes.uerj.br/index.php/geouerjPUBhttps://www.e-publicacoes.uerj.br/index.php/geouerj/oaitunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com1981-90211415-7543opendoar:2022-02-20T22:02:51Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
title |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
spellingShingle |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF Francisco, Cristiane Nunes normalized difference vegetation index (NDVI) simple ratio (SR) vegetation index remote sensing LANDSAT8/OLI índice de vegetação da diferença normalizada (IVDN) razão simples (RS) índices de vegetação sensoriamento remoto |
title_short |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
title_full |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
title_fullStr |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
title_full_unstemmed |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
title_sort |
ÍNDICES DE VEGETAÇÃO OBTIDOS DE IMAGENS MULTIESPECTRAIS APLICADOS NA DISCRIMINAÇÃO DA COBERTURA VEGETAL EM RELEVO MONTANHOSO / VEGETATION RATES OBTAINED FROM MULTISPECTRIC IMAGES APPLIED IN THE DISCRIMINATION OF VEGETABLE COVERAGE IN MOUNTAIN RELIEF |
author |
Francisco, Cristiane Nunes |
author_facet |
Francisco, Cristiane Nunes Gruber, Nina Cardoso |
author_role |
author |
author2 |
Gruber, Nina Cardoso |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Francisco, Cristiane Nunes Gruber, Nina Cardoso |
dc.subject.por.fl_str_mv |
normalized difference vegetation index (NDVI) simple ratio (SR) vegetation index remote sensing LANDSAT8/OLI índice de vegetação da diferença normalizada (IVDN) razão simples (RS) índices de vegetação sensoriamento remoto |
topic |
normalized difference vegetation index (NDVI) simple ratio (SR) vegetation index remote sensing LANDSAT8/OLI índice de vegetação da diferença normalizada (IVDN) razão simples (RS) índices de vegetação sensoriamento remoto |
description |
The vegetation indices are used to investigate the properties of spectral vegetation and can be related to the biophysics parameters. In addition, they can also be used to minimize illumination effects caused by the topographic on spectral response that difficult to distinguish vegetation physiognomy. To evaluate the efficiency of vegetation indices to distinguish the vegetation cover in mountainous area, it was calculated two indices from LANDSAT8/OLI multispectral bands that cover the Tijuca Massif, situated on central zone of Rio de Janeiro city. The results revealed that the both vegetation indices (NDVI and SR) had efficiency to separate water bodies and to discriminate vegetation and non-vegetation classes. However, the urban area, shadows and rocks were mixed, while it was not possible to classify the vegetation physiognomy because of the effect solar illumination on the vegetation indices. The forest located at southern slopes, which received less solar illumination at the time the orbital sensor collected the data, had indices similar to herbaceous vegetation, and in this way it was not possible to separate them. While the forest located at northern and western, which were received more solar illumination, had the most elevated indices and it was not confused with other types of land cover. In conclusion, the indices vegetation (IVDN and SR) were not efficient to minimize the topographic effects to discriminate the vegetation physiognomy. On other hand, the indices showed efficient to demonstrate that watersheds located at protected area had more elevated indices than the basin located near de urban area. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-18 |
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://www.e-publicacoes.uerj.br/geouerj/article/view/16931 10.12957/geouerj.2018.16931 |
url |
https://www.e-publicacoes.uerj.br/geouerj/article/view/16931 |
identifier_str_mv |
10.12957/geouerj.2018.16931 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.e-publicacoes.uerj.br/geouerj/article/view/16931/24726 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Geo UERJ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Geo UERJ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
dc.source.none.fl_str_mv |
Geo UERJ; n. 32 (2018): Jan/Jun; e16931 1981-9021 1415-7543 reponame:Geo UERJ instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UERJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UERJ |
institution |
UERJ |
reponame_str |
Geo UERJ |
collection |
Geo UERJ |
repository.name.fl_str_mv |
Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
tunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com |
_version_ |
1799317528244125696 |