Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/6789 |
Resumo: | Geoprocessing tools have been increasingly used to support the integrated study of geoecological variables, once they allow fast and efficient analysis. One of the products generated by geoprocessing of great importance do analysis that considerate the real surface of the terrain is the Digital Elevation Model (DEM). The consideration of the real surface is essential for the correct calculation of volumes, areas and distances, parameters of great importance for geomorfological indicators. There are many kinds of methods to generate this models and no consensus about which method has the best results, once it's precision will depend on characteristics of the study area. This work aims to compare the different DEM generation methods for irregular relief areas, using the Pedra Branca massif, RJ, as study area. It has been generated DEMs by two different interpolation methods and grids: one based in rectangular regular grid (TOPOGRID) and the interpolation method of Delaunay constrained, based in triangular irregular network (TIN), both generated in the software ArcGIS 9.2. For the verification of the quality and altimetric precision of these models, it has been utilized a map of declivities generated from the triangular irregular network model. Results show that the more adequate method for the study area is the TOPOGRID. However, it has been noted that this behavior is unequally distributed along its declivities classes, and it's errors are bigger in the great declivities, where the TIN model has been more efficient. |
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Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, BrazilAvaliação de modelos digitais de elevação para estudos geoecológicos no maciço da Pedra Branca, Rio de Janeiro, BrasilGeoprocessing tools have been increasingly used to support the integrated study of geoecological variables, once they allow fast and efficient analysis. One of the products generated by geoprocessing of great importance do analysis that considerate the real surface of the terrain is the Digital Elevation Model (DEM). The consideration of the real surface is essential for the correct calculation of volumes, areas and distances, parameters of great importance for geomorfological indicators. There are many kinds of methods to generate this models and no consensus about which method has the best results, once it's precision will depend on characteristics of the study area. This work aims to compare the different DEM generation methods for irregular relief areas, using the Pedra Branca massif, RJ, as study area. It has been generated DEMs by two different interpolation methods and grids: one based in rectangular regular grid (TOPOGRID) and the interpolation method of Delaunay constrained, based in triangular irregular network (TIN), both generated in the software ArcGIS 9.2. For the verification of the quality and altimetric precision of these models, it has been utilized a map of declivities generated from the triangular irregular network model. Results show that the more adequate method for the study area is the TOPOGRID. However, it has been noted that this behavior is unequally distributed along its declivities classes, and it's errors are bigger in the great declivities, where the TIN model has been more efficient.As ferramentas do geoprocessamento têm sido utilizadas com freqüência cada vez maior para o estudo integrado de variáveis geoecológicas, por permitirem análises mais rápidas e eficientes. Um dos produtos gerados pelo geoprocessamento e de grande importância para análises considerando a superfície real do terreno é o Modelo Digital de Elevação (MDE). A consideração da superfície real é essencial para o cálculo correto de volumes, áreas e distâncias, parâmetros cruciais para uma série de indicadores geomorfológicos. Existem diversos métodos para a geração desses modelos e não há consenso sobre qual deles apresenta maior precisão, uma vez que esta vai depender de características relacionadas à área de estudo. Este trabalho tem como objetivo comparar diferentes métodos para geração de MDE em áreas de relevo acidentado, utilizando como área de estudo o maciço da Pedra Branca, RJ. Foram gerados MDEs através de dois métodos de interpolação e tipo de grades diferentes: o método de interpolação com base em grade regular retangular (TOPOGRID) e o método de interpolação de Delaunay com restrições baseado em grade irregular triangular (TIN), ambos gerados no software ArcGIS 9.2. Para verificar a qualidade e a precisão altimétrica desses modelos, utilizou-se um mapa de declividades gerados a partir do modelo da grade irregular triangular. Os resultados mostram que o método mais adequado para a área estudada como um todo é o TOPOGRID. No entanto esse comportamento foi desigualmente distribuído segundo as classes de declividade, sendo seus erros maiores nas altas declividades, onde o modelo TIN se mostrou mais eficiente.Universidade Federal do Rio de Janeiro2009-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/678910.11137/2009_1_21-33Anuário do Instituto de Geociências; Vol 32, No 1 (2009); 21-33Anuário do Instituto de Geociências; Vol 32, No 1 (2009); 21-331982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/6789/5386Copyright (c) 2009 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSouza, Leandro GomesSousa, Gustavo Mota deCoura, Pedro Henrique FerreiraFernandes, Manoel do Couto2017-01-23T21:49:50Zoai:www.revistas.ufrj.br:article/6789Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-01-23T21:49:50Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil Avaliação de modelos digitais de elevação para estudos geoecológicos no maciço da Pedra Branca, Rio de Janeiro, Brasil |
title |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil |
spellingShingle |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil Souza, Leandro Gomes |
title_short |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil |
title_full |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil |
title_fullStr |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil |
title_full_unstemmed |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil |
title_sort |
Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil |
author |
Souza, Leandro Gomes |
author_facet |
Souza, Leandro Gomes Sousa, Gustavo Mota de Coura, Pedro Henrique Ferreira Fernandes, Manoel do Couto |
author_role |
author |
author2 |
Sousa, Gustavo Mota de Coura, Pedro Henrique Ferreira Fernandes, Manoel do Couto |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Souza, Leandro Gomes Sousa, Gustavo Mota de Coura, Pedro Henrique Ferreira Fernandes, Manoel do Couto |
description |
Geoprocessing tools have been increasingly used to support the integrated study of geoecological variables, once they allow fast and efficient analysis. One of the products generated by geoprocessing of great importance do analysis that considerate the real surface of the terrain is the Digital Elevation Model (DEM). The consideration of the real surface is essential for the correct calculation of volumes, areas and distances, parameters of great importance for geomorfological indicators. There are many kinds of methods to generate this models and no consensus about which method has the best results, once it's precision will depend on characteristics of the study area. This work aims to compare the different DEM generation methods for irregular relief areas, using the Pedra Branca massif, RJ, as study area. It has been generated DEMs by two different interpolation methods and grids: one based in rectangular regular grid (TOPOGRID) and the interpolation method of Delaunay constrained, based in triangular irregular network (TIN), both generated in the software ArcGIS 9.2. For the verification of the quality and altimetric precision of these models, it has been utilized a map of declivities generated from the triangular irregular network model. Results show that the more adequate method for the study area is the TOPOGRID. However, it has been noted that this behavior is unequally distributed along its declivities classes, and it's errors are bigger in the great declivities, where the TIN model has been more efficient. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-06-01 |
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://revistas.ufrj.br/index.php/aigeo/article/view/6789 10.11137/2009_1_21-33 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/6789 |
identifier_str_mv |
10.11137/2009_1_21-33 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/6789/5386 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2009 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2009 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 32, No 1 (2009); 21-33 Anuário do Instituto de Geociências; Vol 32, No 1 (2009); 21-33 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
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1797053544413528064 |