QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE

Detalhes bibliográficos
Autor(a) principal: Caten,Alexandre Ten
Data de Publicação: 2016
Outros Autores: Dalmolin,Ricardo S. D., Boeing,Evandro L., Vitalis,Fernando A., Silva,Walquíria C. Da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000601261
Resumo: ABSTRACT: Relief characterization using a digital terrain model (DTM) is widely applied in erosion, soil and vegetation modeling. However, factors, such as acquisition technology and the spatial resolution of the digital model, affect modeling results. The aim of this study was to characterize noises in a DTM of the entire state of Santa Catarina recently made available through the state's Sustainable Economic Development Secretary and to evaluate different methods of interpolation and smoothing of the original 1 m resolution to a new digital model with a spatial resolution of 15 m. Using the SAGA GIS program, spurious data that appeared as peaks and sinks were removed from the digital model. Of five processing procedures, the following three were used for smoothing: a Gaussian filter, a Lee filter, and mesh denoising. The remaining two were for interpolation: nearest-neighbor, and ordinary kriging. Altimetric reference data were collected in the study area of 11,597 km2 with two dual-frequency GPS RTK receivers located in the Celso Ramos community in the municipality of Frei Rogério (SC). The root mean square error showed that the documented values of the aerial survey report were consistent with the findings of this study. However, the GPS RTK data showed a difference of 1.07 m compared with the original DTM with 1 m spatial resolution. There were pixels with peaks and sinks in the digital model of the Santa Catarina State.
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spelling QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATEdigital elevation modelgeomorphometryslopedigital soil mappingaerial imageryABSTRACT: Relief characterization using a digital terrain model (DTM) is widely applied in erosion, soil and vegetation modeling. However, factors, such as acquisition technology and the spatial resolution of the digital model, affect modeling results. The aim of this study was to characterize noises in a DTM of the entire state of Santa Catarina recently made available through the state's Sustainable Economic Development Secretary and to evaluate different methods of interpolation and smoothing of the original 1 m resolution to a new digital model with a spatial resolution of 15 m. Using the SAGA GIS program, spurious data that appeared as peaks and sinks were removed from the digital model. Of five processing procedures, the following three were used for smoothing: a Gaussian filter, a Lee filter, and mesh denoising. The remaining two were for interpolation: nearest-neighbor, and ordinary kriging. Altimetric reference data were collected in the study area of 11,597 km2 with two dual-frequency GPS RTK receivers located in the Celso Ramos community in the municipality of Frei Rogério (SC). The root mean square error showed that the documented values of the aerial survey report were consistent with the findings of this study. However, the GPS RTK data showed a difference of 1.07 m compared with the original DTM with 1 m spatial resolution. There were pixels with peaks and sinks in the digital model of the Santa Catarina State.Associação Brasileira de Engenharia Agrícola2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000601261Engenharia Agrícola v.36 n.6 2016reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v36n6p1261-1271/2016info:eu-repo/semantics/openAccessCaten,Alexandre TenDalmolin,Ricardo S. D.Boeing,Evandro L.Vitalis,Fernando A.Silva,Walquíria C. Daeng2016-11-29T00:00:00Zoai:scielo:S0100-69162016000601261Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2016-11-29T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
title QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
spellingShingle QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
Caten,Alexandre Ten
digital elevation model
geomorphometry
slope
digital soil mapping
aerial imagery
title_short QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
title_full QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
title_fullStr QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
title_full_unstemmed QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
title_sort QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
author Caten,Alexandre Ten
author_facet Caten,Alexandre Ten
Dalmolin,Ricardo S. D.
Boeing,Evandro L.
Vitalis,Fernando A.
Silva,Walquíria C. Da
author_role author
author2 Dalmolin,Ricardo S. D.
Boeing,Evandro L.
Vitalis,Fernando A.
Silva,Walquíria C. Da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Caten,Alexandre Ten
Dalmolin,Ricardo S. D.
Boeing,Evandro L.
Vitalis,Fernando A.
Silva,Walquíria C. Da
dc.subject.por.fl_str_mv digital elevation model
geomorphometry
slope
digital soil mapping
aerial imagery
topic digital elevation model
geomorphometry
slope
digital soil mapping
aerial imagery
description ABSTRACT: Relief characterization using a digital terrain model (DTM) is widely applied in erosion, soil and vegetation modeling. However, factors, such as acquisition technology and the spatial resolution of the digital model, affect modeling results. The aim of this study was to characterize noises in a DTM of the entire state of Santa Catarina recently made available through the state's Sustainable Economic Development Secretary and to evaluate different methods of interpolation and smoothing of the original 1 m resolution to a new digital model with a spatial resolution of 15 m. Using the SAGA GIS program, spurious data that appeared as peaks and sinks were removed from the digital model. Of five processing procedures, the following three were used for smoothing: a Gaussian filter, a Lee filter, and mesh denoising. The remaining two were for interpolation: nearest-neighbor, and ordinary kriging. Altimetric reference data were collected in the study area of 11,597 km2 with two dual-frequency GPS RTK receivers located in the Celso Ramos community in the municipality of Frei Rogério (SC). The root mean square error showed that the documented values of the aerial survey report were consistent with the findings of this study. However, the GPS RTK data showed a difference of 1.07 m compared with the original DTM with 1 m spatial resolution. There were pixels with peaks and sinks in the digital model of the Santa Catarina State.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000601261
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000601261
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v36n6p1261-1271/2016
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 Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.36 n.6 2016
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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