PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING

Detalhes bibliográficos
Autor(a) principal: Peluzio, Telma Machado de Oliveira
Data de Publicação: 2013
Outros Autores: Santos, Alexandre Rosa dos, Fiedler, Nilton César, Bauer, Maristela de Oliveira, Garcia, Giovanni de Oliveira, Simão, João Batista Pavesi, Peluzio, João Batista Esteves
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/9298
Resumo: http://dx.doi.org/10.5902/198050989298This study evaluated the result of different methodologies in determining the use and occupancy of land using digital aerial photographs with spatial resolution of 1m (scenario 01) and satellite imagery with a spatial resolution of 0.5 m ( scenario 02), photo-interpreted screen, on a scale of 1:2.000 mapping, watershed ‘Horizonte’ stream, in Alegre, ES state. We used the global performance indices and Kappa index for determining the average error between the sets and t test at 5% probability to assess the degree of significance in the process of image interpretation between scenarios 01 and 02. We identified 27 classes of land use for scenarios 01 and 02. The classes of pasture (599.62 and 442.43 ha) and forest fragmentation (319.45 and 258.07 ha) respectively, occupying the largest areas in the two scenarios, composing 69.80% for scenario 01 and 53.04% for scenario 02 of the total area. There was a positive variation of 6.67% in the DG scenario in scenarios 01 and 02. However, the K shows that the scenario 02 has a lower rate of errors of omission and commission of 2.09%, but does not present significance by the statistical analysis presented at 5% level by t test.
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spelling PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGINGComparação fotointerpretativa entre aerofoto e imagem de satéliteenvironmental conservationremote sensinggeographic information systemspreservação ambientalfotointerpretaçãosistemas de informações geográficashttp://dx.doi.org/10.5902/198050989298This study evaluated the result of different methodologies in determining the use and occupancy of land using digital aerial photographs with spatial resolution of 1m (scenario 01) and satellite imagery with a spatial resolution of 0.5 m ( scenario 02), photo-interpreted screen, on a scale of 1:2.000 mapping, watershed ‘Horizonte’ stream, in Alegre, ES state. We used the global performance indices and Kappa index for determining the average error between the sets and t test at 5% probability to assess the degree of significance in the process of image interpretation between scenarios 01 and 02. We identified 27 classes of land use for scenarios 01 and 02. The classes of pasture (599.62 and 442.43 ha) and forest fragmentation (319.45 and 258.07 ha) respectively, occupying the largest areas in the two scenarios, composing 69.80% for scenario 01 and 53.04% for scenario 02 of the total area. There was a positive variation of 6.67% in the DG scenario in scenarios 01 and 02. However, the K shows that the scenario 02 has a lower rate of errors of omission and commission of 2.09%, but does not present significance by the statistical analysis presented at 5% level by t test.http://dx.doi.org/10.5902/198050989298Este estudo objetivou avaliar o uso de diferentes metodologias na determinação do uso e ocupação da terra utilizando aerofotos digitais, com resolução espacial de 1 m (cenário 01) e imagens de satélite, com resolução espacial de 0,5 m (cenário 02), fotointerpretadas em tela, na escala cartográfica de 1:2.000, da bacia hidrográfica do córrego Horizonte, Alegre-ES. Utilizaram-se os índices de desempenho global e índice Kappa para determinação do erro médio entre os cenários e teste t a 5 % de probabilidade para avaliar o grau de significância no processo de fotointerpretação entre os cenários 01 e 02. Foram identificadas 27 classes de uso da terra para os cenários 01 e 02. As classes de pastagem (599,62 e 442,43 ha) e fragmento florestal (319,45 e 258,07 ha) respectivamente, ocupando maiores áreas nos dois cenários, compondo 69,80 % para o cenário 01 e 53,04 % para o cenário 02 das áreas totais. Verificou-se uma variação positiva do DG em 6,67 % do cenário 01 em relação ao cenário 02. Entretanto o K demonstra que o cenário 02 possui uma menor taxa entre os erros de omissão e comissão em 2,09 %, não apresentado significância pela análise estatística em nível de 5 % pelo teste t.Universidade Federal de Santa Maria2013-06-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/929810.5902/198050989298Ciência Florestal; Vol. 23 No. 2 (2013); 537-544Ciência Florestal; v. 23 n. 2 (2013); 537-5441980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/9298/pdf_1Peluzio, Telma Machado de OliveiraSantos, Alexandre Rosa dosFiedler, Nilton CésarBauer, Maristela de OliveiraGarcia, Giovanni de OliveiraSimão, João Batista PavesiPeluzio, João Batista Estevesinfo:eu-repo/semantics/openAccess2017-04-17T18:12:18Zoai:ojs.pkp.sfu.ca:article/9298Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-04-17T18:12:18Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
Comparação fotointerpretativa entre aerofoto e imagem de satélite
title PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
spellingShingle PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
Peluzio, Telma Machado de Oliveira
environmental conservation
remote sensing
geographic information systems
preservação ambiental
fotointerpretação
sistemas de informações geográficas
title_short PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
title_full PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
title_fullStr PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
title_full_unstemmed PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
title_sort PHOTO INTERPRETIVE COMPARISON BETWEEN AERIAL PHOTOGRAPHY AND SATELLITE IMAGING
author Peluzio, Telma Machado de Oliveira
author_facet Peluzio, Telma Machado de Oliveira
Santos, Alexandre Rosa dos
Fiedler, Nilton César
Bauer, Maristela de Oliveira
Garcia, Giovanni de Oliveira
Simão, João Batista Pavesi
Peluzio, João Batista Esteves
author_role author
author2 Santos, Alexandre Rosa dos
Fiedler, Nilton César
Bauer, Maristela de Oliveira
Garcia, Giovanni de Oliveira
Simão, João Batista Pavesi
Peluzio, João Batista Esteves
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Peluzio, Telma Machado de Oliveira
Santos, Alexandre Rosa dos
Fiedler, Nilton César
Bauer, Maristela de Oliveira
Garcia, Giovanni de Oliveira
Simão, João Batista Pavesi
Peluzio, João Batista Esteves
dc.subject.por.fl_str_mv environmental conservation
remote sensing
geographic information systems
preservação ambiental
fotointerpretação
sistemas de informações geográficas
topic environmental conservation
remote sensing
geographic information systems
preservação ambiental
fotointerpretação
sistemas de informações geográficas
description http://dx.doi.org/10.5902/198050989298This study evaluated the result of different methodologies in determining the use and occupancy of land using digital aerial photographs with spatial resolution of 1m (scenario 01) and satellite imagery with a spatial resolution of 0.5 m ( scenario 02), photo-interpreted screen, on a scale of 1:2.000 mapping, watershed ‘Horizonte’ stream, in Alegre, ES state. We used the global performance indices and Kappa index for determining the average error between the sets and t test at 5% probability to assess the degree of significance in the process of image interpretation between scenarios 01 and 02. We identified 27 classes of land use for scenarios 01 and 02. The classes of pasture (599.62 and 442.43 ha) and forest fragmentation (319.45 and 258.07 ha) respectively, occupying the largest areas in the two scenarios, composing 69.80% for scenario 01 and 53.04% for scenario 02 of the total area. There was a positive variation of 6.67% in the DG scenario in scenarios 01 and 02. However, the K shows that the scenario 02 has a lower rate of errors of omission and commission of 2.09%, but does not present significance by the statistical analysis presented at 5% level by t test.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-28
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://periodicos.ufsm.br/cienciaflorestal/article/view/9298
10.5902/198050989298
url https://periodicos.ufsm.br/cienciaflorestal/article/view/9298
identifier_str_mv 10.5902/198050989298
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/9298/pdf_1
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 23 No. 2 (2013); 537-544
Ciência Florestal; v. 23 n. 2 (2013); 537-544
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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