Digital elevation models evaluation for geoecological studies in Pedra Branca massif, Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Souza, Leandro Gomes
Data de Publicação: 2009
Outros Autores: Sousa, Gustavo Mota de, Coura, Pedro Henrique Ferreira, Fernandes, Manoel do Couto
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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spelling 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
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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
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dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/6789/5386
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http://creativecommons.org/licenses/by/4.0
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rights_invalid_str_mv Copyright (c) 2009 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
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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
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