Comparison between detailed digital and conventional soil maps of an area with complex geology

Detalhes bibliográficos
Autor(a) principal: Bazaglia Filho,Osmar
Data de Publicação: 2013
Outros Autores: Rizzo,Rodnei, Lepsch,Igo Fernando, Prado,Hélio do, Gomes,Felipe Haenel, Mazza,Jairo Antonio, Demattê,José Alexandre Melo
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=S0100-06832013000500003
Resumo: Since different pedologists will draw different soil maps of a same area, it is important to compare the differences between mapping by specialists and mapping techniques, as for example currently intensively discussed Digital Soil Mapping. Four detailed soil maps (scale 1:10.000) of a 182-ha sugarcane farm in the county of Rafard, São Paulo State, Brazil, were compared. The area has a large variation of soil formation factors. The maps were drawn independently by four soil scientists and compared with a fifth map obtained by a digital soil mapping technique. All pedologists were given the same set of information. As many field expeditions and soil pits as required by each surveyor were provided to define the mapping units (MUs). For the Digital Soil Map (DSM), spectral data were extracted from Landsat 5 Thematic Mapper (TM) imagery as well as six terrain attributes from the topographic map of the area. These data were summarized by principal component analysis to generate the map designs of groups through Fuzzy K-means clustering. Field observations were made to identify the soils in the MUs and classify them according to the Brazilian Soil Classification System (BSCS). To compare the conventional and digital (DSM) soil maps, they were crossed pairwise to generate confusion matrices that were mapped. The categorical analysis at each classification level of the BSCS showed that the agreement between the maps decreased towards the lower levels of classification and the great influence of the surveyor on both the mapping and definition of MUs in the soil map. The average correspondence between the conventional and DSM maps was similar. Therefore, the method used to obtain the DSM yielded similar results to those obtained by the conventional technique, while providing additional information about the landscape of each soil, useful for applications in future surveys of similar areas.
id SBCS-1_1ac4a9ca5c3aaa75b01b815e9f58f61e
oai_identifier_str oai:scielo:S0100-06832013000500003
network_acronym_str SBCS-1
network_name_str Revista Brasileira de Ciência do Solo (Online)
repository_id_str
spelling Comparison between detailed digital and conventional soil maps of an area with complex geologysoil cartographydetailed soil surveyremote sensingsoil-landscape relationshipSince different pedologists will draw different soil maps of a same area, it is important to compare the differences between mapping by specialists and mapping techniques, as for example currently intensively discussed Digital Soil Mapping. Four detailed soil maps (scale 1:10.000) of a 182-ha sugarcane farm in the county of Rafard, São Paulo State, Brazil, were compared. The area has a large variation of soil formation factors. The maps were drawn independently by four soil scientists and compared with a fifth map obtained by a digital soil mapping technique. All pedologists were given the same set of information. As many field expeditions and soil pits as required by each surveyor were provided to define the mapping units (MUs). For the Digital Soil Map (DSM), spectral data were extracted from Landsat 5 Thematic Mapper (TM) imagery as well as six terrain attributes from the topographic map of the area. These data were summarized by principal component analysis to generate the map designs of groups through Fuzzy K-means clustering. Field observations were made to identify the soils in the MUs and classify them according to the Brazilian Soil Classification System (BSCS). To compare the conventional and digital (DSM) soil maps, they were crossed pairwise to generate confusion matrices that were mapped. The categorical analysis at each classification level of the BSCS showed that the agreement between the maps decreased towards the lower levels of classification and the great influence of the surveyor on both the mapping and definition of MUs in the soil map. The average correspondence between the conventional and DSM maps was similar. Therefore, the method used to obtain the DSM yielded similar results to those obtained by the conventional technique, while providing additional information about the landscape of each soil, useful for applications in future surveys of similar areas.Sociedade Brasileira de Ciência do Solo2013-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000500003Revista Brasileira de Ciência do Solo v.37 n.5 2013reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/S0100-06832013000500003info:eu-repo/semantics/openAccessBazaglia Filho,OsmarRizzo,RodneiLepsch,Igo FernandoPrado,Hélio doGomes,Felipe HaenelMazza,Jairo AntonioDemattê,José Alexandre Meloeng2013-12-17T00:00:00Zoai:scielo:S0100-06832013000500003Revistahttp://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:2013-12-17T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Comparison between detailed digital and conventional soil maps of an area with complex geology
title Comparison between detailed digital and conventional soil maps of an area with complex geology
spellingShingle Comparison between detailed digital and conventional soil maps of an area with complex geology
Bazaglia Filho,Osmar
soil cartography
detailed soil survey
remote sensing
soil-landscape relationship
title_short Comparison between detailed digital and conventional soil maps of an area with complex geology
title_full Comparison between detailed digital and conventional soil maps of an area with complex geology
title_fullStr Comparison between detailed digital and conventional soil maps of an area with complex geology
title_full_unstemmed Comparison between detailed digital and conventional soil maps of an area with complex geology
title_sort Comparison between detailed digital and conventional soil maps of an area with complex geology
author Bazaglia Filho,Osmar
author_facet Bazaglia Filho,Osmar
Rizzo,Rodnei
Lepsch,Igo Fernando
Prado,Hélio do
Gomes,Felipe Haenel
Mazza,Jairo Antonio
Demattê,José Alexandre Melo
author_role author
author2 Rizzo,Rodnei
Lepsch,Igo Fernando
Prado,Hélio do
Gomes,Felipe Haenel
Mazza,Jairo Antonio
Demattê,José Alexandre Melo
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Bazaglia Filho,Osmar
Rizzo,Rodnei
Lepsch,Igo Fernando
Prado,Hélio do
Gomes,Felipe Haenel
Mazza,Jairo Antonio
Demattê,José Alexandre Melo
dc.subject.por.fl_str_mv soil cartography
detailed soil survey
remote sensing
soil-landscape relationship
topic soil cartography
detailed soil survey
remote sensing
soil-landscape relationship
description Since different pedologists will draw different soil maps of a same area, it is important to compare the differences between mapping by specialists and mapping techniques, as for example currently intensively discussed Digital Soil Mapping. Four detailed soil maps (scale 1:10.000) of a 182-ha sugarcane farm in the county of Rafard, São Paulo State, Brazil, were compared. The area has a large variation of soil formation factors. The maps were drawn independently by four soil scientists and compared with a fifth map obtained by a digital soil mapping technique. All pedologists were given the same set of information. As many field expeditions and soil pits as required by each surveyor were provided to define the mapping units (MUs). For the Digital Soil Map (DSM), spectral data were extracted from Landsat 5 Thematic Mapper (TM) imagery as well as six terrain attributes from the topographic map of the area. These data were summarized by principal component analysis to generate the map designs of groups through Fuzzy K-means clustering. Field observations were made to identify the soils in the MUs and classify them according to the Brazilian Soil Classification System (BSCS). To compare the conventional and digital (DSM) soil maps, they were crossed pairwise to generate confusion matrices that were mapped. The categorical analysis at each classification level of the BSCS showed that the agreement between the maps decreased towards the lower levels of classification and the great influence of the surveyor on both the mapping and definition of MUs in the soil map. The average correspondence between the conventional and DSM maps was similar. Therefore, the method used to obtain the DSM yielded similar results to those obtained by the conventional technique, while providing additional information about the landscape of each soil, useful for applications in future surveys of similar areas.
publishDate 2013
dc.date.none.fl_str_mv 2013-10-01
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=S0100-06832013000500003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000500003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-06832013000500003
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.37 n.5 2013
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
_version_ 1752126518945906688