Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil

Detalhes bibliográficos
Autor(a) principal: Vasconcelos, Bruno Nery Fernandes
Data de Publicação: 2023
Outros Autores: Bravo, João Vitor Meza, Cunha, Jorge Eduardo Ferreira, Fernandes-Filho, Elpídio Inácio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/49327
Resumo: Digital Soil Mapping (DSM) of large areas is a time-consuming and  expensive process, where soil scientists take as many as possible observations to predict soil classes and their attributes. Sometimes, the DSM is made in geographic regions with no updated geographic information, leading the soil scientist to depend on Legacy Soil Data (LSD). However, LSD is not always available at an adequate scale or resolution, forcing soil scientists to find creative solutions. Here we present a method for mapping soil frontiers with no updated reference data. We demonstrate that by combining different LSD sources with adequate predictive environmental covariables, the results could be consistent enough for mapping the soil frontiers of a large geographic region without updated reference data. For doing that, we have adopted the full geographic extension of Minas Gerais  state – Brazil – as a study area. Within its extension, Minas Gerais has heterogeneity in soil classes and soil formation processes, phenomena triggered by such a divergent universe of environmental variables. Minas Gerais has no updated soil maps, making it a relevant study case for this research. Thus, we conclude that the Digital Soil Mapping process could be  enriched by using different sources of Legacy Soil Data, even when there is no updated reference data.
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spelling Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, BrazilDigital soil mappingUnmapped geographic regionsSoil profile descriptionsDigital Soil Mapping (DSM) of large areas is a time-consuming and  expensive process, where soil scientists take as many as possible observations to predict soil classes and their attributes. Sometimes, the DSM is made in geographic regions with no updated geographic information, leading the soil scientist to depend on Legacy Soil Data (LSD). However, LSD is not always available at an adequate scale or resolution, forcing soil scientists to find creative solutions. Here we present a method for mapping soil frontiers with no updated reference data. We demonstrate that by combining different LSD sources with adequate predictive environmental covariables, the results could be consistent enough for mapping the soil frontiers of a large geographic region without updated reference data. For doing that, we have adopted the full geographic extension of Minas Gerais  state – Brazil – as a study area. Within its extension, Minas Gerais has heterogeneity in soil classes and soil formation processes, phenomena triggered by such a divergent universe of environmental variables. Minas Gerais has no updated soil maps, making it a relevant study case for this research. Thus, we conclude that the Digital Soil Mapping process could be  enriched by using different sources of Legacy Soil Data, even when there is no updated reference data.Universidade Federal do Rio de Janeiro2023-05-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/4932710.11137/1982-3908_2023_46_49327Anuário do Instituto de Geociências; v. 46 (2023)Anuário do Instituto de Geociências; Vol. 46 (2023)1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/49327/pdfCopyright (c) 2023 Anuário do Instituto de Geociênciasinfo:eu-repo/semantics/openAccessVasconcelos, Bruno Nery FernandesBravo, João Vitor MezaCunha, Jorge Eduardo FerreiraFernandes-Filho, Elpídio Inácio2023-05-03T10:23:05Zoai:ojs.pkp.sfu.ca:article/49327Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2023-05-03T10:23:05Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
title Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
spellingShingle Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
Vasconcelos, Bruno Nery Fernandes
Digital soil mapping
Unmapped geographic regions
Soil profile descriptions
title_short Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
title_full Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
title_fullStr Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
title_full_unstemmed Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
title_sort Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
author Vasconcelos, Bruno Nery Fernandes
author_facet Vasconcelos, Bruno Nery Fernandes
Bravo, João Vitor Meza
Cunha, Jorge Eduardo Ferreira
Fernandes-Filho, Elpídio Inácio
author_role author
author2 Bravo, João Vitor Meza
Cunha, Jorge Eduardo Ferreira
Fernandes-Filho, Elpídio Inácio
author2_role author
author
author
dc.contributor.author.fl_str_mv Vasconcelos, Bruno Nery Fernandes
Bravo, João Vitor Meza
Cunha, Jorge Eduardo Ferreira
Fernandes-Filho, Elpídio Inácio
dc.subject.por.fl_str_mv Digital soil mapping
Unmapped geographic regions
Soil profile descriptions
topic Digital soil mapping
Unmapped geographic regions
Soil profile descriptions
description Digital Soil Mapping (DSM) of large areas is a time-consuming and  expensive process, where soil scientists take as many as possible observations to predict soil classes and their attributes. Sometimes, the DSM is made in geographic regions with no updated geographic information, leading the soil scientist to depend on Legacy Soil Data (LSD). However, LSD is not always available at an adequate scale or resolution, forcing soil scientists to find creative solutions. Here we present a method for mapping soil frontiers with no updated reference data. We demonstrate that by combining different LSD sources with adequate predictive environmental covariables, the results could be consistent enough for mapping the soil frontiers of a large geographic region without updated reference data. For doing that, we have adopted the full geographic extension of Minas Gerais  state – Brazil – as a study area. Within its extension, Minas Gerais has heterogeneity in soil classes and soil formation processes, phenomena triggered by such a divergent universe of environmental variables. Minas Gerais has no updated soil maps, making it a relevant study case for this research. Thus, we conclude that the Digital Soil Mapping process could be  enriched by using different sources of Legacy Soil Data, even when there is no updated reference data.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/49327
10.11137/1982-3908_2023_46_49327
url https://revistas.ufrj.br/index.php/aigeo/article/view/49327
identifier_str_mv 10.11137/1982-3908_2023_46_49327
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/49327/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2023 Anuário do Instituto de Geociências
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Anuário do Instituto de Geociências
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; v. 46 (2023)
Anuário do Instituto de Geociências; Vol. 46 (2023)
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv anuario@igeo.ufrj.br||
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