Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia

Detalhes bibliográficos
Autor(a) principal: Copatti, Alesandro
Data de Publicação: 2020
Outros Autores: Mendes, Deborah, Oliveira, Ana Paula Garcia, Dalmas, Fabricio Bau, Paranhos Filho, Antonio Conceição
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/9519
Resumo: The SRTM synthetic aperture interferometric radar data have great potential for studies involving altimetry, since, in addition to being freely available on the internet, they are also geocoded, facilitating their treatment in Geographic Information System. However, the SRTM data has some usage limitations, including the Canopy Effect, a consequence of the model considering the top of the vegetation as a relief feature. Another limitation, no less important, especially for the use of these data in flat areas, refers to the vertical precision of these data, since in the area of this study, located in the Pantanal, a difference of only one meter has an important significance. The present work aims to evaluate the altimetry data from SRTM, TOPODATA and GLS data; to analyze the vertical accuracy, by comparing the data of these sensors with the altitude data of the geodesic landmarks of the Brazilian Institute of Geography and Statistics; and apply Moving Average Low Pass Filter to correct the "Canopy Effect" of SRTM data. The study area chosen to carry out all these analyzes is included between the Pantanais do Negro and Nhecolância. The applied methodology was developed in a free platform GIS environment: GRASS-GIS, Quantum GIS and SPRING. The SRTM data used allowed us to assess the altimetric difference between the Pantanal do Negro and Nhecolândia. Filters applied to SRTM data substantially reduced the main features associated with the canopy effect of vegetation.
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spelling Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e NhecolândiaAplicación de filtros de paso bajo en modelos de elevación digital para evaluar la diferencia altimétrica entre los Pantanais do Negro y NhecolândiaAplicação de filtros passa-baixa em modelos digitais de elevação para avaliação da diferença altimétrica entre os Pantanais do Negro e NhecolândiaFree geotechnologyUnits for conservation of natureAltimetry.Geotecnologias LivresUnidades de Conservação da NaturezaAltimetria.Geotecnologías libresUnidades de conservación de la naturalezaAltimetría.The SRTM synthetic aperture interferometric radar data have great potential for studies involving altimetry, since, in addition to being freely available on the internet, they are also geocoded, facilitating their treatment in Geographic Information System. However, the SRTM data has some usage limitations, including the Canopy Effect, a consequence of the model considering the top of the vegetation as a relief feature. Another limitation, no less important, especially for the use of these data in flat areas, refers to the vertical precision of these data, since in the area of this study, located in the Pantanal, a difference of only one meter has an important significance. The present work aims to evaluate the altimetry data from SRTM, TOPODATA and GLS data; to analyze the vertical accuracy, by comparing the data of these sensors with the altitude data of the geodesic landmarks of the Brazilian Institute of Geography and Statistics; and apply Moving Average Low Pass Filter to correct the "Canopy Effect" of SRTM data. The study area chosen to carry out all these analyzes is included between the Pantanais do Negro and Nhecolância. The applied methodology was developed in a free platform GIS environment: GRASS-GIS, Quantum GIS and SPRING. The SRTM data used allowed us to assess the altimetric difference between the Pantanal do Negro and Nhecolândia. Filters applied to SRTM data substantially reduced the main features associated with the canopy effect of vegetation.Los datos del radar interferométrico de apertura sintética SRTM tienen un gran potencial para estudios de altimetría, ya que además de estar disponibles gratuitamente en Internet, también están geocodificados, facilitando su tratamiento en el Sistema de Información Geográfica. Sin embargo, los datos de SRTM tienen algunas limitaciones de uso, incluido el efecto dosel, una consecuencia de que el modelo considera la parte superior de la vegetación como una característica de relieve. Otra limitación, no menos importante, especialmente para el uso de estos datos en áreas planas, se refiere a la precisión vertical de estos datos, ya que en el área de este estudio, ubicada en el Pantanal, una diferencia de solo un metro tiene un significado importante. El presente trabajo tiene como objetivo evaluar los datos altimétricos de SRTM, TOPODATA y GLS; analizar la precisión vertical, comparando los datos de estos sensores con los datos de altitud de los hitos geodésicos del Instituto Brasileño de Geografía y Estadística; y aplique el filtro de paso bajo de media móvil para corregir el "efecto de dosel" de los datos SRTM. El área de estudio elegida para realizar todos estos análisis se incluye entre Pantanais do Negro y Nhecolância. La metodología aplicada se desarrolló en un entorno GIS de plataforma libre: GRASS-GIS, Quantum GIS y SPRING. Los datos de SRTM utilizados nos permitieron evaluar la diferencia altimétrica entre el Pantanal do Negro y Nhecolândia. Los filtros aplicados a los datos de SRTM redujeron sustancialmente las principales características asociadas con el efecto de dosel de la vegetación.Os dados do radar interferométrico de abertura sintética SRTM apresentam grande potencialidade para estudos que envolvam a altimetria, uma vez que, além de estarem disponíveis gratuitamente na internet, também estão geocodificados, facilitando seu tratamento em Sistema de informações geográficas. Entretanto os dados SRTM apresentam algumas limitações de uso, entre elas o Efeito Dossel, consequência do modelo considerar o topo da vegetação como feição de relevo. Outra limitação, não menos importante, especialmente para a utilização desses dados em áreas planas, refere-se à precisão vertical desses dados, já que na área deste estudo, situada no Pantanal, uma diferença de apenas um metro tem um significado importante. O presente trabalho possui os objetivos de avaliar os dados de altimetria oriundos dos dados de SRTM, TOPODATA e do GLS; analisar a acurácia vertical, através da comparação dos dados destes sensores com os dados de altitude dos marcos geodésicos do Instituto Brasileiro de Geografia e Estatística; e aplicar Filtro Passa-Baixa de Média Móvel para a correção do "Efeito Dossel" dos dados SRTM. A área de estudo escolhida para realizar todas essas análises está englobada entre os Pantanais do Negro e Nhecolância. A metodologia aplicada foi desenvolvida em ambiente SIG de plataformas gratuitas: GRASS-GIS, Quantum GIS e SPRING. Os dados SRTM utilizados permitiram avaliar a diferença altimétrica entre o Pantanal do Negro e a Nhecolândia. Já os filtros aplicados sobre os dados SRTM diminuíram substancialmente as principais feições associadas ao efeito dossel da vegetação.Research, Society and Development2020-11-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/951910.33448/rsd-v9i11.9519Research, Society and Development; Vol. 9 No. 11; e1729119519Research, Society and Development; Vol. 9 Núm. 11; e1729119519Research, Society and Development; v. 9 n. 11; e17291195192525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/9519/8652Copyright (c) 2020 Alesandro Copatti; Deborah Mendes; Ana Paula Garcia Oliveira; Fabricio Bau Dalmas; Antonio Conceição Paranhos Filhohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCopatti, Alesandro Mendes, Deborah Oliveira, Ana Paula Garcia Dalmas, Fabricio BauParanhos Filho, Antonio Conceição 2020-12-10T23:37:57Zoai:ojs.pkp.sfu.ca:article/9519Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:31:46.922202Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
Aplicación de filtros de paso bajo en modelos de elevación digital para evaluar la diferencia altimétrica entre los Pantanais do Negro y Nhecolândia
Aplicação de filtros passa-baixa em modelos digitais de elevação para avaliação da diferença altimétrica entre os Pantanais do Negro e Nhecolândia
title Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
spellingShingle Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
Copatti, Alesandro
Free geotechnology
Units for conservation of nature
Altimetry.
Geotecnologias Livres
Unidades de Conservação da Natureza
Altimetria.
Geotecnologías libres
Unidades de conservación de la naturaleza
Altimetría.
title_short Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
title_full Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
title_fullStr Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
title_full_unstemmed Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
title_sort Application of low-pass filters in digital elevation models for evaluation of the altimetric difference between Pantanais do Negro e Nhecolândia
author Copatti, Alesandro
author_facet Copatti, Alesandro
Mendes, Deborah
Oliveira, Ana Paula Garcia
Dalmas, Fabricio Bau
Paranhos Filho, Antonio Conceição
author_role author
author2 Mendes, Deborah
Oliveira, Ana Paula Garcia
Dalmas, Fabricio Bau
Paranhos Filho, Antonio Conceição
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Copatti, Alesandro
Mendes, Deborah
Oliveira, Ana Paula Garcia
Dalmas, Fabricio Bau
Paranhos Filho, Antonio Conceição
dc.subject.por.fl_str_mv Free geotechnology
Units for conservation of nature
Altimetry.
Geotecnologias Livres
Unidades de Conservação da Natureza
Altimetria.
Geotecnologías libres
Unidades de conservación de la naturaleza
Altimetría.
topic Free geotechnology
Units for conservation of nature
Altimetry.
Geotecnologias Livres
Unidades de Conservação da Natureza
Altimetria.
Geotecnologías libres
Unidades de conservación de la naturaleza
Altimetría.
description The SRTM synthetic aperture interferometric radar data have great potential for studies involving altimetry, since, in addition to being freely available on the internet, they are also geocoded, facilitating their treatment in Geographic Information System. However, the SRTM data has some usage limitations, including the Canopy Effect, a consequence of the model considering the top of the vegetation as a relief feature. Another limitation, no less important, especially for the use of these data in flat areas, refers to the vertical precision of these data, since in the area of this study, located in the Pantanal, a difference of only one meter has an important significance. The present work aims to evaluate the altimetry data from SRTM, TOPODATA and GLS data; to analyze the vertical accuracy, by comparing the data of these sensors with the altitude data of the geodesic landmarks of the Brazilian Institute of Geography and Statistics; and apply Moving Average Low Pass Filter to correct the "Canopy Effect" of SRTM data. The study area chosen to carry out all these analyzes is included between the Pantanais do Negro and Nhecolância. The applied methodology was developed in a free platform GIS environment: GRASS-GIS, Quantum GIS and SPRING. The SRTM data used allowed us to assess the altimetric difference between the Pantanal do Negro and Nhecolândia. Filters applied to SRTM data substantially reduced the main features associated with the canopy effect of vegetation.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-08
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://rsdjournal.org/index.php/rsd/article/view/9519
10.33448/rsd-v9i11.9519
url https://rsdjournal.org/index.php/rsd/article/view/9519
identifier_str_mv 10.33448/rsd-v9i11.9519
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/9519/8652
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://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 Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 11; e1729119519
Research, Society and Development; Vol. 9 Núm. 11; e1729119519
Research, Society and Development; v. 9 n. 11; e1729119519
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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