AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT

Detalhes bibliográficos
Autor(a) principal: Robaina,Luís Eduardo de Souza
Data de Publicação: 2020
Outros Autores: Trentin,Romário
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Mercator (Fortaleza. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-22012020000100212
Resumo: Abstract Relief classification methodologies seek to define the parameters that determine those parts of the terrestrial surface that present homogeneous forms and elements. The rapid development of geotechnology has increasingly provided tools and methodologies that assist in studies related to relief. The present work proposes a methodology to classify the relief in three taxonomic levels, using automated processing in a GIS environment. This procedure was applied in a case study of the Santa Maria River basin, in the west of Rio Grande do Sul State, Brazil. The digital data processing employed was the Geographic Information System ArcGIS® and the data from the SRTM 3 arc-second radar (90 meters) was the basis for the Digital Elevation Model. The processing for the first taxon used the amplitude and slope data to define four forms of relief: flat areas, slightly undulating hills, undulating hills, and hills with buttes and larger hills. In the second taxonomic level, ten relief elements were identified: flat, peak, ridge, shoulder, spur, slope, hollow, footslope, valley, and pit. In the third taxonomic level, the slope forms were characterized into eight units using the slope, profile, and curvature plane parameters. It was possible to detect the three proposed levels, the relief forms, relief elements, and slope forms. GIS processing offers a fast and precise definition of the relief forms and elements, and the slope forms, as well as the relationship between the three taxonomic levels.
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spelling AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORTReliefGeomorphons, GeomorphometryHydrographic BasinAbstract Relief classification methodologies seek to define the parameters that determine those parts of the terrestrial surface that present homogeneous forms and elements. The rapid development of geotechnology has increasingly provided tools and methodologies that assist in studies related to relief. The present work proposes a methodology to classify the relief in three taxonomic levels, using automated processing in a GIS environment. This procedure was applied in a case study of the Santa Maria River basin, in the west of Rio Grande do Sul State, Brazil. The digital data processing employed was the Geographic Information System ArcGIS® and the data from the SRTM 3 arc-second radar (90 meters) was the basis for the Digital Elevation Model. The processing for the first taxon used the amplitude and slope data to define four forms of relief: flat areas, slightly undulating hills, undulating hills, and hills with buttes and larger hills. In the second taxonomic level, ten relief elements were identified: flat, peak, ridge, shoulder, spur, slope, hollow, footslope, valley, and pit. In the third taxonomic level, the slope forms were characterized into eight units using the slope, profile, and curvature plane parameters. It was possible to detect the three proposed levels, the relief forms, relief elements, and slope forms. GIS processing offers a fast and precise definition of the relief forms and elements, and the slope forms, as well as the relationship between the three taxonomic levels.Universidade Federal do Ceará2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-22012020000100212Mercator (Fortaleza) v.19 2020reponame:Mercator (Fortaleza. Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.4215/rm2020.e19012info:eu-repo/semantics/openAccessRobaina,Luís Eduardo de SouzaTrentin,Romárioeng2020-08-06T00:00:00Zoai:scielo:S1984-22012020000100212Revistahttp://www.mercator.ufc.brPUBhttps://old.scielo.br/oai/scielo-oai.phpedantas@ufc.br||mercator@ufc.br|| jose.z.candido@gmail.com1984-22011676-8329opendoar:2022-11-23T11:20:39.899589Mercator (Fortaleza. Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
title AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
spellingShingle AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
Robaina,Luís Eduardo de Souza
Relief
Geomorphons, Geomorphometry
Hydrographic Basin
title_short AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
title_full AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
title_fullStr AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
title_full_unstemmed AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
title_sort AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
author Robaina,Luís Eduardo de Souza
author_facet Robaina,Luís Eduardo de Souza
Trentin,Romário
author_role author
author2 Trentin,Romário
author2_role author
dc.contributor.author.fl_str_mv Robaina,Luís Eduardo de Souza
Trentin,Romário
dc.subject.por.fl_str_mv Relief
Geomorphons, Geomorphometry
Hydrographic Basin
topic Relief
Geomorphons, Geomorphometry
Hydrographic Basin
description Abstract Relief classification methodologies seek to define the parameters that determine those parts of the terrestrial surface that present homogeneous forms and elements. The rapid development of geotechnology has increasingly provided tools and methodologies that assist in studies related to relief. The present work proposes a methodology to classify the relief in three taxonomic levels, using automated processing in a GIS environment. This procedure was applied in a case study of the Santa Maria River basin, in the west of Rio Grande do Sul State, Brazil. The digital data processing employed was the Geographic Information System ArcGIS® and the data from the SRTM 3 arc-second radar (90 meters) was the basis for the Digital Elevation Model. The processing for the first taxon used the amplitude and slope data to define four forms of relief: flat areas, slightly undulating hills, undulating hills, and hills with buttes and larger hills. In the second taxonomic level, ten relief elements were identified: flat, peak, ridge, shoulder, spur, slope, hollow, footslope, valley, and pit. In the third taxonomic level, the slope forms were characterized into eight units using the slope, profile, and curvature plane parameters. It was possible to detect the three proposed levels, the relief forms, relief elements, and slope forms. GIS processing offers a fast and precise definition of the relief forms and elements, and the slope forms, as well as the relationship between the three taxonomic levels.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-22012020000100212
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-22012020000100212
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4215/rm2020.e19012
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Mercator (Fortaleza) v.19 2020
reponame:Mercator (Fortaleza. Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Mercator (Fortaleza. Online)
collection Mercator (Fortaleza. Online)
repository.name.fl_str_mv Mercator (Fortaleza. Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv edantas@ufc.br||mercator@ufc.br|| jose.z.candido@gmail.com
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