VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS

Detalhes bibliográficos
Autor(a) principal: Girão, Raphael e Silva
Data de Publicação: 2019
Outros Autores: Fernandes, Pedro José Farias, Vicens, Raúl Sanchez, Barbalho, Leonardo Vieira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/42221
Resumo: The aim of the this study is to evaluate the vertical accuracy of the DEMs from the SRTM, ASTER GDEM, Topodata and SRTM EMBRAPA for Rio de Janeiro state based on the PEC and PEC-PCD and to develop two algorithms that allow the automation of the procedures for such evaluation. The choice of the state of Rio de Janeiro for an area to be analyzed is its topographic heterogeneity and that allows a regional evaluation of the DEMs. The vertical accuracy of the DEMs from remote sensing varies spatially, so it is necessary to evaluate the vertical accuracy of the DEMs for each new area to be studied. Therefore the algorithms developed in this study were efficient in the automation of the procedures for such evaluation, consisting in important tools to reduce the evaluation time evaluate and to choose the best DEM for each area. The evaluation of the DEMs showed that the SRTM obtained the best vertical accuracy results for the state of Rio de Janeiro, but the ASTER GDEM was the one that obtained more regular vertical accuracy results regarding the terrain configuration.
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spelling VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS AVALIAÇÃO DA ACURÁCIA VERTICAL DE MODELOS DIGITAIS DE ELEVAÇÃO (MDEs) PARA O ESTADO DO RIO DE JANEIRO ATRAVÉS DE ALGORITMOS DE AUTOMATIZAÇÃOAcurácia VerticalModelos Digitais de ElevaçãoAlgoritmoVertical AcuracyDigital Elevation ModelsAlgorithmThe aim of the this study is to evaluate the vertical accuracy of the DEMs from the SRTM, ASTER GDEM, Topodata and SRTM EMBRAPA for Rio de Janeiro state based on the PEC and PEC-PCD and to develop two algorithms that allow the automation of the procedures for such evaluation. The choice of the state of Rio de Janeiro for an area to be analyzed is its topographic heterogeneity and that allows a regional evaluation of the DEMs. The vertical accuracy of the DEMs from remote sensing varies spatially, so it is necessary to evaluate the vertical accuracy of the DEMs for each new area to be studied. Therefore the algorithms developed in this study were efficient in the automation of the procedures for such evaluation, consisting in important tools to reduce the evaluation time evaluate and to choose the best DEM for each area. The evaluation of the DEMs showed that the SRTM obtained the best vertical accuracy results for the state of Rio de Janeiro, but the ASTER GDEM was the one that obtained more regular vertical accuracy results regarding the terrain configuration.O objetivo do presente estudo é avaliar a acurácia vertical dos MDEs oriundos do SRTM, ASTER GDEM, Topodata e SRTM EMBRAPA para o estado do Rio de Janeiro com base no PEC e no PEC-PCD e, para isso, desenvolver dois algoritmos que permitam, a partir de software livre, a automatização dos procedimentos para tal avaliação. A escolha do estado do Rio de Janeiro como área a ser analisada é justificada por sua heterogeneidade topográfica e por permitir uma avaliação regional dos MDEs. Uma vez que a acurácia vertical dos MDEs oriundos de sensoriamento remoto varia espacialmente, há a necessidade de se avaliar a acurácia vertical dos MDEs para cada nova área a ser estudada, portanto os algoritmos desenvolvidos nesse estudo foram eficientes na automatização dos procedimentos para tal avaliação, consistindo assim, em ferramentas importantes para a redução do tempo de avaliação e escolha do melhor MDE a ser utilizado. A avaliação dos MDEs mostrou que o SRTM obteve os melhores resultados de acurácia vertical para estado do Rio de Janeiro, contudo o ASTER GDEM foi o que obteve resultados de acurácia vertical mais regulares em relação à configuração do terreno.EDUFU - Editora da Universidade Federal de Uberlândia2019-08-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/4222110.14393/RCG207042221Caminhos de Geografia; Vol. 20 No. 70 (2019): Junho; 72-92Caminhos de Geografia; Vol. 20 Núm. 70 (2019): Junho; 72-92Caminhos de Geografia; v. 20 n. 70 (2019): Junho; 72-921678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/42221/26614Copyright (c) 2019 Raphael e Silva Girão, Pedro José Farias Fernandes, Raúl Sanchez Vicens, Leonardo Vieira Barbalhoinfo:eu-repo/semantics/openAccessGirão, Raphael e SilvaFernandes, Pedro José FariasVicens, Raúl SanchezBarbalho, Leonardo Vieira2019-08-28T14:15:58Zoai:ojs.www.seer.ufu.br:article/42221Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2019-08-28T14:15:58Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
AVALIAÇÃO DA ACURÁCIA VERTICAL DE MODELOS DIGITAIS DE ELEVAÇÃO (MDEs) PARA O ESTADO DO RIO DE JANEIRO ATRAVÉS DE ALGORITMOS DE AUTOMATIZAÇÃO
title VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
spellingShingle VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
Girão, Raphael e Silva
Acurácia Vertical
Modelos Digitais de Elevação
Algoritmo
Vertical Acuracy
Digital Elevation Models
Algorithm
title_short VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
title_full VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
title_fullStr VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
title_full_unstemmed VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
title_sort VERTICAL ACCURACY EVALUATION OF DIGITAL ELEVATION MODELS (DEMS) FOR THE STATE OF RIO DE JANEIRO THROUGH AUTOMATION ALGORITHMS
author Girão, Raphael e Silva
author_facet Girão, Raphael e Silva
Fernandes, Pedro José Farias
Vicens, Raúl Sanchez
Barbalho, Leonardo Vieira
author_role author
author2 Fernandes, Pedro José Farias
Vicens, Raúl Sanchez
Barbalho, Leonardo Vieira
author2_role author
author
author
dc.contributor.author.fl_str_mv Girão, Raphael e Silva
Fernandes, Pedro José Farias
Vicens, Raúl Sanchez
Barbalho, Leonardo Vieira
dc.subject.por.fl_str_mv Acurácia Vertical
Modelos Digitais de Elevação
Algoritmo
Vertical Acuracy
Digital Elevation Models
Algorithm
topic Acurácia Vertical
Modelos Digitais de Elevação
Algoritmo
Vertical Acuracy
Digital Elevation Models
Algorithm
description The aim of the this study is to evaluate the vertical accuracy of the DEMs from the SRTM, ASTER GDEM, Topodata and SRTM EMBRAPA for Rio de Janeiro state based on the PEC and PEC-PCD and to develop two algorithms that allow the automation of the procedures for such evaluation. The choice of the state of Rio de Janeiro for an area to be analyzed is its topographic heterogeneity and that allows a regional evaluation of the DEMs. The vertical accuracy of the DEMs from remote sensing varies spatially, so it is necessary to evaluate the vertical accuracy of the DEMs for each new area to be studied. Therefore the algorithms developed in this study were efficient in the automation of the procedures for such evaluation, consisting in important tools to reduce the evaluation time evaluate and to choose the best DEM for each area. The evaluation of the DEMs showed that the SRTM obtained the best vertical accuracy results for the state of Rio de Janeiro, but the ASTER GDEM was the one that obtained more regular vertical accuracy results regarding the terrain configuration.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/42221
10.14393/RCG207042221
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/42221
identifier_str_mv 10.14393/RCG207042221
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/42221/26614
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 EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 20 No. 70 (2019): Junho; 72-92
Caminhos de Geografia; Vol. 20 Núm. 70 (2019): Junho; 72-92
Caminhos de Geografia; v. 20 n. 70 (2019): Junho; 72-92
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
_version_ 1797067016555724800

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