Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images

Detalhes bibliográficos
Autor(a) principal: Hernandez Filho, Pedro
Data de Publicação: 1998
Outros Autores: Ponzoni, Flávio Jorge, Pereira, Madalena Niero
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/5058
Resumo: TM/Landsat temporal images (dry and wet seasons) and HRV/SPOT images from a dry season, in analogical and digital presentation forms, were used in a physiognomic vegetation and land use mapping in part of Alto Taquari (MS) river basin. The images were available in form of color compositions (TM3B, TM4G and TM5R bands, and HRV1B, HRV2G and HRV3R bands). Visual interpretation was carried out considering the following vegetation and land use classes: Grassland, Savanna (Cerrado), Woodland (Cerradão), Savanna and aluvial forest, Aluvial forest, Disturbed formation, Cultivated pasture, Field crops, and Water bodies. The performance evaluation of TM and HRV products has shown a small superiority of HRV images, compared to TM images. The digital image processing was carried out over the Pedro Gomes topographic chart area, considering only the TM images. Principal component technique was applied in order to generate new images. These two new images were used in the Maxver digital classification procedure. The result of that classification was also transferred to the GIS and compared with visual thematic map through Kappa (KHAT) statistical parameter. The results have shown low similarity between these maps.
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spelling Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT imagesMapeamento da fitofisionomia e do uso da terra de parte da bacia do Alto Taquari mediante o uso de imagens TM/Landsat e HRV/SPOTvegetation mapping; remote sensingmapeamento de vegetação; sensoriamento remotoTM/Landsat temporal images (dry and wet seasons) and HRV/SPOT images from a dry season, in analogical and digital presentation forms, were used in a physiognomic vegetation and land use mapping in part of Alto Taquari (MS) river basin. The images were available in form of color compositions (TM3B, TM4G and TM5R bands, and HRV1B, HRV2G and HRV3R bands). Visual interpretation was carried out considering the following vegetation and land use classes: Grassland, Savanna (Cerrado), Woodland (Cerradão), Savanna and aluvial forest, Aluvial forest, Disturbed formation, Cultivated pasture, Field crops, and Water bodies. The performance evaluation of TM and HRV products has shown a small superiority of HRV images, compared to TM images. The digital image processing was carried out over the Pedro Gomes topographic chart area, considering only the TM images. Principal component technique was applied in order to generate new images. These two new images were used in the Maxver digital classification procedure. The result of that classification was also transferred to the GIS and compared with visual thematic map through Kappa (KHAT) statistical parameter. The results have shown low similarity between these maps.Imagens TM/Landsat referentes a duas épocas do ano e HRV/SPOT foram utilizadas nos mapeamentos fitofisionômico e de uso da terra de parte da bacia do Alto Taquari (MS). Imagens analógicas foram dispostas sob a forma de composições coloridas (TM3B, TM4R e TM5G; HRV1B, HRV2R e HRV3G). Estas imagens foram interpretadas visualmente, procurando-se identificar os seguintes itens: 1) Campo; 2) Cerrado; 3) Cerradão; 4) Cerrado + mata aluvial; 5) mata aluvial; 6) formação alterada; 7) áreas destinadas à agropecuária; 8) culturas agrícolas implantadas; e 9) espelho d'água. A avaliação dos desempenhos dos dois produtos revelou uma ligeira superioridade dos produtos HRV/SPOT em relação aos produtos TM/Landsat. A área referente a uma das folhas topográficas (Pedro Gomes) foi considerada no processamento das imagens digitais TM/Landsat. Aplicou-se a técnica de componentes principais para a elaboração de duas novas imagens. Seguiu-se a classificação digital pelo algoritmo Maxver (Máxima Verossimilhança), cujo resultado foi introduzido no banco de dados mencionado sob a forma de um Plano de Informação (PI). O PI referente à interpretação visual da folha Pedro Gomes foi então comparado com o PI desta mesma folha, elaborado a partir da classificação digital pela estatística Kappa. Os resultados indicaram pouca similaridade entre os dois PIs.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraHernandez Filho, PedroPonzoni, Flávio JorgePereira, Madalena Niero1998-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/5058Pesquisa Agropecuaria Brasileira; v.33, n. especial, out. 1998; 1755-1762Pesquisa Agropecuária Brasileira; v.33, n. especial, out. 1998; 1755-17621678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/5058/7210info:eu-repo/semantics/openAccess2015-01-22T20:09:12Zoai:ojs.seer.sct.embrapa.br:article/5058Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2015-01-22T20:09:12Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
Mapeamento da fitofisionomia e do uso da terra de parte da bacia do Alto Taquari mediante o uso de imagens TM/Landsat e HRV/SPOT
title Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
spellingShingle Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
Hernandez Filho, Pedro
vegetation mapping; remote sensing
mapeamento de vegetação; sensoriamento remoto
title_short Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
title_full Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
title_fullStr Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
title_full_unstemmed Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
title_sort Phytophysiognomic and land use mapping of partial Alto Taquari basin using TM/Landsat and HRV/SPOT images
author Hernandez Filho, Pedro
author_facet Hernandez Filho, Pedro
Ponzoni, Flávio Jorge
Pereira, Madalena Niero
author_role author
author2 Ponzoni, Flávio Jorge
Pereira, Madalena Niero
author2_role author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Hernandez Filho, Pedro
Ponzoni, Flávio Jorge
Pereira, Madalena Niero
dc.subject.por.fl_str_mv vegetation mapping; remote sensing
mapeamento de vegetação; sensoriamento remoto
topic vegetation mapping; remote sensing
mapeamento de vegetação; sensoriamento remoto
description TM/Landsat temporal images (dry and wet seasons) and HRV/SPOT images from a dry season, in analogical and digital presentation forms, were used in a physiognomic vegetation and land use mapping in part of Alto Taquari (MS) river basin. The images were available in form of color compositions (TM3B, TM4G and TM5R bands, and HRV1B, HRV2G and HRV3R bands). Visual interpretation was carried out considering the following vegetation and land use classes: Grassland, Savanna (Cerrado), Woodland (Cerradão), Savanna and aluvial forest, Aluvial forest, Disturbed formation, Cultivated pasture, Field crops, and Water bodies. The performance evaluation of TM and HRV products has shown a small superiority of HRV images, compared to TM images. The digital image processing was carried out over the Pedro Gomes topographic chart area, considering only the TM images. Principal component technique was applied in order to generate new images. These two new images were used in the Maxver digital classification procedure. The result of that classification was also transferred to the GIS and compared with visual thematic map through Kappa (KHAT) statistical parameter. The results have shown low similarity between these maps.
publishDate 1998
dc.date.none.fl_str_mv 1998-12-01
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/5058
url https://seer.sct.embrapa.br/index.php/pab/article/view/5058
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/5058/7210
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.33, n. especial, out. 1998; 1755-1762
Pesquisa Agropecuária Brasileira; v.33, n. especial, out. 1998; 1755-1762
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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