Pedological mapping through integration of digital terrain models spectral sensing and photopedology

Detalhes bibliográficos
Autor(a) principal: Demattê,José A. M.
Data de Publicação: 2015
Outros Autores: Rizzo,Rodnei, Botteon,Victor Wilson
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669
Resumo: ABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detailed map. We carried out field survey and soil sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the information from each product to generate the map of the validation site, which was validated by field inspection. Textural classification using satellite imaging ranged from 21-51% of accuracy. Band 5 in the sensor showed the best performance to discriminate between clayey and sandy soils. Aerial photographs provided the best information because, besides their own inherent characteristics, they operate on a larger scale and result in a map with up to 50 polygons, while DEM reached a maximum of 30 polygons. The digital mapping technology generated 45 mapping units. Finally, the mapping efficiently separated the Latosols from the other classes; however, in some cases there was confusion in the identification of Cambisols and litholic Neosols.
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spelling Pedological mapping through integration of digital terrain models spectral sensing and photopedologyAerial photographsDigital terrain modelsSatellite imagesDigital soil mappingABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detailed map. We carried out field survey and soil sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the information from each product to generate the map of the validation site, which was validated by field inspection. Textural classification using satellite imaging ranged from 21-51% of accuracy. Band 5 in the sensor showed the best performance to discriminate between clayey and sandy soils. Aerial photographs provided the best information because, besides their own inherent characteristics, they operate on a larger scale and result in a map with up to 50 polygons, while DEM reached a maximum of 30 polygons. The digital mapping technology generated 45 mapping units. Finally, the mapping efficiently separated the Latosols from the other classes; however, in some cases there was confusion in the identification of Cambisols and litholic Neosols.Universidade Federal do Ceará2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669Revista Ciência Agronômica v.46 n.4 2015reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20150053info:eu-repo/semantics/openAccessDemattê,José A. M.Rizzo,RodneiBotteon,Victor Wilsoneng2015-09-30T00:00:00Zoai:scielo:S1806-66902015000400669Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2015-09-30T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Pedological mapping through integration of digital terrain models spectral sensing and photopedology
title Pedological mapping through integration of digital terrain models spectral sensing and photopedology
spellingShingle Pedological mapping through integration of digital terrain models spectral sensing and photopedology
Demattê,José A. M.
Aerial photographs
Digital terrain models
Satellite images
Digital soil mapping
title_short Pedological mapping through integration of digital terrain models spectral sensing and photopedology
title_full Pedological mapping through integration of digital terrain models spectral sensing and photopedology
title_fullStr Pedological mapping through integration of digital terrain models spectral sensing and photopedology
title_full_unstemmed Pedological mapping through integration of digital terrain models spectral sensing and photopedology
title_sort Pedological mapping through integration of digital terrain models spectral sensing and photopedology
author Demattê,José A. M.
author_facet Demattê,José A. M.
Rizzo,Rodnei
Botteon,Victor Wilson
author_role author
author2 Rizzo,Rodnei
Botteon,Victor Wilson
author2_role author
author
dc.contributor.author.fl_str_mv Demattê,José A. M.
Rizzo,Rodnei
Botteon,Victor Wilson
dc.subject.por.fl_str_mv Aerial photographs
Digital terrain models
Satellite images
Digital soil mapping
topic Aerial photographs
Digital terrain models
Satellite images
Digital soil mapping
description ABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detailed map. We carried out field survey and soil sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the information from each product to generate the map of the validation site, which was validated by field inspection. Textural classification using satellite imaging ranged from 21-51% of accuracy. Band 5 in the sensor showed the best performance to discriminate between clayey and sandy soils. Aerial photographs provided the best information because, besides their own inherent characteristics, they operate on a larger scale and result in a map with up to 50 polygons, while DEM reached a maximum of 30 polygons. The digital mapping technology generated 45 mapping units. Finally, the mapping efficiently separated the Latosols from the other classes; however, in some cases there was confusion in the identification of Cambisols and litholic Neosols.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20150053
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.46 n.4 2015
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
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instname_str Universidade Federal do Ceará (UFC)
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reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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