Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico

Detalhes bibliográficos
Autor(a) principal: Cruz-Cárdenas,Gustavo
Data de Publicação: 2011
Outros Autores: Ortiz-Solorio,Carlos Alberto, Ojeda-Trejo,Enrique, Martínez-Montoya,Juan Felipe, Sotelo-Ruiz,Erasto Domingo, Licona-Vargas,Atenogenes Leobardo
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=S0100-06832011000300003
Resumo: Map units directly related to properties of soil-landscape are generated by local soil classes. Therefore to take into consideration the knowledge of farmers is essential to automate the procedure. The aim of this study was to map local soil classes by computer-assisted cartography (CAC), using several combinations of topographic properties produced by GIS (digital elevation model, aspect, slope, and profile curvature). A decision tree was used to find the number of topographic properties required for digital cartography of the local soil classes. The maps produced were evaluated based on the attributes of map quality defined as precision and accuracy of the CAC-based maps. The evaluation was carried out in Central Mexico using three maps of local soil classes with contrasting landscape and climatic conditions (desert, temperate, and tropical). In the three areas the precision (56 %) of the CAC maps based on elevation as topographical feature was higher than when based on slope, aspect and profile curvature. The accuracy of the maps (boundary locations) was however low (33 %), in other words, further research is required to improve this indicator.
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spelling Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexicodecision treedigital elevation modelmap qualityMap units directly related to properties of soil-landscape are generated by local soil classes. Therefore to take into consideration the knowledge of farmers is essential to automate the procedure. The aim of this study was to map local soil classes by computer-assisted cartography (CAC), using several combinations of topographic properties produced by GIS (digital elevation model, aspect, slope, and profile curvature). A decision tree was used to find the number of topographic properties required for digital cartography of the local soil classes. The maps produced were evaluated based on the attributes of map quality defined as precision and accuracy of the CAC-based maps. The evaluation was carried out in Central Mexico using three maps of local soil classes with contrasting landscape and climatic conditions (desert, temperate, and tropical). In the three areas the precision (56 %) of the CAC maps based on elevation as topographical feature was higher than when based on slope, aspect and profile curvature. The accuracy of the maps (boundary locations) was however low (33 %), in other words, further research is required to improve this indicator.Sociedade Brasileira de Ciência do Solo2011-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832011000300003Revista Brasileira de Ciência do Solo v.35 n.3 2011reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/S0100-06832011000300003info:eu-repo/semantics/openAccessCruz-Cárdenas,GustavoOrtiz-Solorio,Carlos AlbertoOjeda-Trejo,EnriqueMartínez-Montoya,Juan FelipeSotelo-Ruiz,Erasto DomingoLicona-Vargas,Atenogenes Leobardoeng2011-09-27T00:00:00Zoai:scielo:S0100-06832011000300003Revistahttp://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:2011-09-27T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
title Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
spellingShingle Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
Cruz-Cárdenas,Gustavo
decision tree
digital elevation model
map quality
title_short Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
title_full Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
title_fullStr Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
title_full_unstemmed Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
title_sort Computer-assisted cartography using topographic properties: precision and accuracy of local soil maps in central Mexico
author Cruz-Cárdenas,Gustavo
author_facet Cruz-Cárdenas,Gustavo
Ortiz-Solorio,Carlos Alberto
Ojeda-Trejo,Enrique
Martínez-Montoya,Juan Felipe
Sotelo-Ruiz,Erasto Domingo
Licona-Vargas,Atenogenes Leobardo
author_role author
author2 Ortiz-Solorio,Carlos Alberto
Ojeda-Trejo,Enrique
Martínez-Montoya,Juan Felipe
Sotelo-Ruiz,Erasto Domingo
Licona-Vargas,Atenogenes Leobardo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cruz-Cárdenas,Gustavo
Ortiz-Solorio,Carlos Alberto
Ojeda-Trejo,Enrique
Martínez-Montoya,Juan Felipe
Sotelo-Ruiz,Erasto Domingo
Licona-Vargas,Atenogenes Leobardo
dc.subject.por.fl_str_mv decision tree
digital elevation model
map quality
topic decision tree
digital elevation model
map quality
description Map units directly related to properties of soil-landscape are generated by local soil classes. Therefore to take into consideration the knowledge of farmers is essential to automate the procedure. The aim of this study was to map local soil classes by computer-assisted cartography (CAC), using several combinations of topographic properties produced by GIS (digital elevation model, aspect, slope, and profile curvature). A decision tree was used to find the number of topographic properties required for digital cartography of the local soil classes. The maps produced were evaluated based on the attributes of map quality defined as precision and accuracy of the CAC-based maps. The evaluation was carried out in Central Mexico using three maps of local soil classes with contrasting landscape and climatic conditions (desert, temperate, and tropical). In the three areas the precision (56 %) of the CAC maps based on elevation as topographical feature was higher than when based on slope, aspect and profile curvature. The accuracy of the maps (boundary locations) was however low (33 %), in other words, further research is required to improve this indicator.
publishDate 2011
dc.date.none.fl_str_mv 2011-06-01
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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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832011000300003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832011000300003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-06832011000300003
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 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.35 n.3 2011
reponame:Revista Brasileira de Ciência do Solo (Online)
instname:Sociedade Brasileira de Ciência do Solo (SBCS)
instacron:SBCS
instname_str Sociedade Brasileira de Ciência do Solo (SBCS)
instacron_str SBCS
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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