Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Espinhaço |
Texto Completo: | https://revistas.ufvjm.edu.br/revista-espinhaco/article/view/172 |
Resumo: | Digital Elevation Models (DEM) make it possible to identify geomorphological results and model the dynamics of processes on the earth's surface. Identifying and analyzing the vertical accuracy of DEMs is relevant to understand the possibilities of using remote sensing products, which are periodically updated in different versions to improve quality. is research compared different DEM, such as NASADEM, TOPODATA, ASTER GDEM and ALOS AW3D30 in the Cerrado biome area, in the lower slopes. e analysis consisted of sampling 1002 homologous points from GNSS control points with high precision, and sampling in a vertical profile in 149 homologous points, towards the mouth-east direction of the Uberabinha river section. Statistical analyzes were performed using RMSE and Box-Plot and line graphs. e results showed that NASADEM was the most accurate vertically (RMSE 3.8) than the other DEMs, with TOPODATA being the least accurate DEM (RMSR 8.81). It was found that vertical accuracy is more related to the (re)processing of the analyzed DEMs than to the type of acquisition of information by sensors, such as the InSar method and photogrammetry |
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Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellitesAvaliação comparativa da precisão vertical de modelos digitais de elevação derivados de satélites globais gratuitosRMSENASADEMASTER GDEMALOS AW3D30TOPODATARMSENASADEMASTER GDEMALOS AW3D30TOPODATADigital Elevation Models (DEM) make it possible to identify geomorphological results and model the dynamics of processes on the earth's surface. Identifying and analyzing the vertical accuracy of DEMs is relevant to understand the possibilities of using remote sensing products, which are periodically updated in different versions to improve quality. is research compared different DEM, such as NASADEM, TOPODATA, ASTER GDEM and ALOS AW3D30 in the Cerrado biome area, in the lower slopes. e analysis consisted of sampling 1002 homologous points from GNSS control points with high precision, and sampling in a vertical profile in 149 homologous points, towards the mouth-east direction of the Uberabinha river section. Statistical analyzes were performed using RMSE and Box-Plot and line graphs. e results showed that NASADEM was the most accurate vertically (RMSE 3.8) than the other DEMs, with TOPODATA being the least accurate DEM (RMSR 8.81). It was found that vertical accuracy is more related to the (re)processing of the analyzed DEMs than to the type of acquisition of information by sensors, such as the InSar method and photogrammetryOs Modelos Digitais de Elevação (MDE) possibilitam identificar resultantes geomorfológicas e modelar a dinâmica dos processos da superfície terrestre. Identificar e analisar a precisão vertical dos MDE é pertinente para compreender as possibilidades de uso de produtos de sensoriamento remoto, os quais estão periodicamente se atualizando em diferentes versões para melhoria da qualidade. A presente pesquisa comparou diferentes MDE, como o NASADEM, TOPODATA, ASTER GDEM e ALOS AW3D30 em área do bioma Cerrado, no trecho inferior de vertentes. A análise consistiu em amostragem de 1002 pontos homólogos a partir de pontos de controle GNSS com alta precisão, e amostragem em um perfil vertical em 149 pontos homólogos, em direção foz-nascente do trecho do rio Uberabinha. As análises estatísticas realizadas foram a partir de RMSE e de gráficos Box-Plot e de linhas. Os resultados mostraram que o NASADEM foi o mais acurado verticalmente (RMSE 3,8) que os demais MDE, sendo o TOPODATA o MDE de menor precisão (RMSR 8,81). Constatou-se que precisão vertical está mais relacionada ao (re) processamento dos MDE analisados do que com o tipo de aquisição das informações pelos sensores, como o método InSar e fotogrametria.UFVJM2021-10-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfhttps://revistas.ufvjm.edu.br/revista-espinhaco/article/view/17210.5281/zenodo.5095061Revista Espinhaço ; Revista Espinhaço #182317-0611reponame:Revista Espinhaçoinstname:Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)instacron:UFVJMporhttps://revistas.ufvjm.edu.br/revista-espinhaco/article/view/172/182Copyright (c) 2022 Revista Espinhaço https://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessLacerda, Heitor CarvalhoLeitão, RodrigoNero, Marcelo AntônioTemba, Plínio da CostaMacedo, Diego Rodrigues2022-07-22T18:48:53Zoai:ojs.pkp.sfu.ca:article/172Revistahttps://revistaespinhaco.com/index.php/revista/indexPUBhttps://revistas.ufvjm.edu.br/revista-espinhaco/oairevista.espinhaco@gmail.com || doug.sathler@gmail.com2317-06112317-0611opendoar:2022-07-22T18:48:53Revista Espinhaço - Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)false |
dc.title.none.fl_str_mv |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites Avaliação comparativa da precisão vertical de modelos digitais de elevação derivados de satélites globais gratuitos |
title |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites |
spellingShingle |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites Lacerda, Heitor Carvalho RMSE NASADEM ASTER GDEM ALOS AW3D30 TOPODATA RMSE NASADEM ASTER GDEM ALOS AW3D30 TOPODATA |
title_short |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites |
title_full |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites |
title_fullStr |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites |
title_full_unstemmed |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites |
title_sort |
Comparative evaluation of the vertical accuracy of digital elevation models derived from free global satellites |
author |
Lacerda, Heitor Carvalho |
author_facet |
Lacerda, Heitor Carvalho Leitão, Rodrigo Nero, Marcelo Antônio Temba, Plínio da Costa Macedo, Diego Rodrigues |
author_role |
author |
author2 |
Leitão, Rodrigo Nero, Marcelo Antônio Temba, Plínio da Costa Macedo, Diego Rodrigues |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Lacerda, Heitor Carvalho Leitão, Rodrigo Nero, Marcelo Antônio Temba, Plínio da Costa Macedo, Diego Rodrigues |
dc.subject.por.fl_str_mv |
RMSE NASADEM ASTER GDEM ALOS AW3D30 TOPODATA RMSE NASADEM ASTER GDEM ALOS AW3D30 TOPODATA |
topic |
RMSE NASADEM ASTER GDEM ALOS AW3D30 TOPODATA RMSE NASADEM ASTER GDEM ALOS AW3D30 TOPODATA |
description |
Digital Elevation Models (DEM) make it possible to identify geomorphological results and model the dynamics of processes on the earth's surface. Identifying and analyzing the vertical accuracy of DEMs is relevant to understand the possibilities of using remote sensing products, which are periodically updated in different versions to improve quality. is research compared different DEM, such as NASADEM, TOPODATA, ASTER GDEM and ALOS AW3D30 in the Cerrado biome area, in the lower slopes. e analysis consisted of sampling 1002 homologous points from GNSS control points with high precision, and sampling in a vertical profile in 149 homologous points, towards the mouth-east direction of the Uberabinha river section. Statistical analyzes were performed using RMSE and Box-Plot and line graphs. e results showed that NASADEM was the most accurate vertically (RMSE 3.8) than the other DEMs, with TOPODATA being the least accurate DEM (RMSR 8.81). It was found that vertical accuracy is more related to the (re)processing of the analyzed DEMs than to the type of acquisition of information by sensors, such as the InSar method and photogrammetry |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo avaliado pelos Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufvjm.edu.br/revista-espinhaco/article/view/172 10.5281/zenodo.5095061 |
url |
https://revistas.ufvjm.edu.br/revista-espinhaco/article/view/172 |
identifier_str_mv |
10.5281/zenodo.5095061 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufvjm.edu.br/revista-espinhaco/article/view/172/182 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Revista Espinhaço https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Revista Espinhaço https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFVJM |
publisher.none.fl_str_mv |
UFVJM |
dc.source.none.fl_str_mv |
Revista Espinhaço ; Revista Espinhaço #18 2317-0611 reponame:Revista Espinhaço instname:Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) instacron:UFVJM |
instname_str |
Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) |
instacron_str |
UFVJM |
institution |
UFVJM |
reponame_str |
Revista Espinhaço |
collection |
Revista Espinhaço |
repository.name.fl_str_mv |
Revista Espinhaço - Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM) |
repository.mail.fl_str_mv |
revista.espinhaco@gmail.com || doug.sathler@gmail.com |
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