Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography

Detalhes bibliográficos
Autor(a) principal: Moura-Bueno,Jean Michel
Data de Publicação: 2016
Outros Autores: Dalmolin,Ricardo Simão Diniz, ten Caten,Alexandre, Ruiz,Luis Fernando Chimelo, Ramos,Priscila Vogelei, Dotto,André Carnieletto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ciência do Solo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304
Resumo: ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain features. The objective of this study was to evaluate the quality and limitations of free DEM data and to evaluate a topographic survey (TS) underlying the choice of a more appropriate model, for use in DSMs at a scale of 1:10,000. The study was conducted in an area of 937 ha in the watershed of Lajeado Giruá, in southern Brazil. The DEMs: DEM-TS, DEM-Topographic Map (TM), DEM-ASTER, DEM-SRTM, and DEM-TOPODATA were evaluated with regard to the precision elevation by statistical tests based on field reference points, the root mean square error (RMSE), identification of the number and size of spurious depressions, and the application of the Brazilian Cartographic Accuracy Standards Law (BCASL) to define the scale of each DEM. In addition, the TA derived from each DEM was compared with the TA from DEM-TS, considered to be terrain reality. The results showed that the elevation data of DEM-TS had the best quality (RMSE = 1.93 m), followed by DEM-SRTM (RMSE = 5.95 m), DEM-Topographic Map (RMSE = 8.28 m), DEM-TOPODATA (RMSE = 9.78 m) and DEM-ASTER (RMSE = 15.57 m). The DEM-TS was well-represented at a 1:10,000 scale, while the DEM-Topographic Map and DEM-SRTM fitted 1:50,000, the DEM-TOPODATA 1:50,000 and the DEM-ASTER a 1:100,000 scale. The results of DEM-SRTM and DEM-TOPODATA were closest to terrain reality (DEM-TS) and had the lowest number of spurious depressions and RMSE values for each evaluated attribute, but were inadequate for not fitting detailed scales compatible with small areas. The techniques for the acquisition of elevation data of each DEM and mainly the flat to gently undulating topography were factors that influenced the results. For a DSM at a scale of 1:10,000 in similar areas, the most appropriate model is DEM-TS.
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spelling Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topographyterrain modelingDEM qualityDEM scaleterrain attributessoil mappingABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain features. The objective of this study was to evaluate the quality and limitations of free DEM data and to evaluate a topographic survey (TS) underlying the choice of a more appropriate model, for use in DSMs at a scale of 1:10,000. The study was conducted in an area of 937 ha in the watershed of Lajeado Giruá, in southern Brazil. The DEMs: DEM-TS, DEM-Topographic Map (TM), DEM-ASTER, DEM-SRTM, and DEM-TOPODATA were evaluated with regard to the precision elevation by statistical tests based on field reference points, the root mean square error (RMSE), identification of the number and size of spurious depressions, and the application of the Brazilian Cartographic Accuracy Standards Law (BCASL) to define the scale of each DEM. In addition, the TA derived from each DEM was compared with the TA from DEM-TS, considered to be terrain reality. The results showed that the elevation data of DEM-TS had the best quality (RMSE = 1.93 m), followed by DEM-SRTM (RMSE = 5.95 m), DEM-Topographic Map (RMSE = 8.28 m), DEM-TOPODATA (RMSE = 9.78 m) and DEM-ASTER (RMSE = 15.57 m). The DEM-TS was well-represented at a 1:10,000 scale, while the DEM-Topographic Map and DEM-SRTM fitted 1:50,000, the DEM-TOPODATA 1:50,000 and the DEM-ASTER a 1:100,000 scale. The results of DEM-SRTM and DEM-TOPODATA were closest to terrain reality (DEM-TS) and had the lowest number of spurious depressions and RMSE values for each evaluated attribute, but were inadequate for not fitting detailed scales compatible with small areas. The techniques for the acquisition of elevation data of each DEM and mainly the flat to gently undulating topography were factors that influenced the results. For a DSM at a scale of 1:10,000 in similar areas, the most appropriate model is DEM-TS.Sociedade Brasileira de Ciência do Solo2016-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304Revista Brasileira de Ciência do Solo v.40 2016reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/18069657rbcs20150022info:eu-repo/semantics/openAccessMoura-Bueno,Jean MichelDalmolin,Ricardo Simão Dinizten Caten,AlexandreRuiz,Luis Fernando ChimeloRamos,Priscila VogeleiDotto,André Carnielettoeng2016-06-20T00:00:00Zoai:scielo:S0100-06832016000100304Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0100-0683&lng=es&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||sbcs@ufv.br1806-96570100-0683opendoar:2016-06-20T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
spellingShingle Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
Moura-Bueno,Jean Michel
terrain modeling
DEM quality
DEM scale
terrain attributes
soil mapping
title_short Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_full Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_fullStr Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_full_unstemmed Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
title_sort Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
author Moura-Bueno,Jean Michel
author_facet Moura-Bueno,Jean Michel
Dalmolin,Ricardo Simão Diniz
ten Caten,Alexandre
Ruiz,Luis Fernando Chimelo
Ramos,Priscila Vogelei
Dotto,André Carnieletto
author_role author
author2 Dalmolin,Ricardo Simão Diniz
ten Caten,Alexandre
Ruiz,Luis Fernando Chimelo
Ramos,Priscila Vogelei
Dotto,André Carnieletto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Moura-Bueno,Jean Michel
Dalmolin,Ricardo Simão Diniz
ten Caten,Alexandre
Ruiz,Luis Fernando Chimelo
Ramos,Priscila Vogelei
Dotto,André Carnieletto
dc.subject.por.fl_str_mv terrain modeling
DEM quality
DEM scale
terrain attributes
soil mapping
topic terrain modeling
DEM quality
DEM scale
terrain attributes
soil mapping
description ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain features. The objective of this study was to evaluate the quality and limitations of free DEM data and to evaluate a topographic survey (TS) underlying the choice of a more appropriate model, for use in DSMs at a scale of 1:10,000. The study was conducted in an area of 937 ha in the watershed of Lajeado Giruá, in southern Brazil. The DEMs: DEM-TS, DEM-Topographic Map (TM), DEM-ASTER, DEM-SRTM, and DEM-TOPODATA were evaluated with regard to the precision elevation by statistical tests based on field reference points, the root mean square error (RMSE), identification of the number and size of spurious depressions, and the application of the Brazilian Cartographic Accuracy Standards Law (BCASL) to define the scale of each DEM. In addition, the TA derived from each DEM was compared with the TA from DEM-TS, considered to be terrain reality. The results showed that the elevation data of DEM-TS had the best quality (RMSE = 1.93 m), followed by DEM-SRTM (RMSE = 5.95 m), DEM-Topographic Map (RMSE = 8.28 m), DEM-TOPODATA (RMSE = 9.78 m) and DEM-ASTER (RMSE = 15.57 m). The DEM-TS was well-represented at a 1:10,000 scale, while the DEM-Topographic Map and DEM-SRTM fitted 1:50,000, the DEM-TOPODATA 1:50,000 and the DEM-ASTER a 1:100,000 scale. The results of DEM-SRTM and DEM-TOPODATA were closest to terrain reality (DEM-TS) and had the lowest number of spurious depressions and RMSE values for each evaluated attribute, but were inadequate for not fitting detailed scales compatible with small areas. The techniques for the acquisition of elevation data of each DEM and mainly the flat to gently undulating topography were factors that influenced the results. For a DSM at a scale of 1:10,000 in similar areas, the most appropriate model is DEM-TS.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
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=S0100-06832016000100304
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100304
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/18069657rbcs20150022
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv Revista Brasileira de Ciência do Solo v.40 2016
reponame:Revista Brasileira de Ciência do Solo (Online)
instname:Sociedade Brasileira de Ciência do Solo (SBCS)
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instname_str Sociedade Brasileira de Ciência do Solo (SBCS)
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institution SBCS
reponame_str Revista Brasileira de Ciência do Solo (Online)
collection Revista Brasileira de Ciência do Solo (Online)
repository.name.fl_str_mv Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)
repository.mail.fl_str_mv ||sbcs@ufv.br
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