Mapping the Soil Frontiers with Legacy Soil Data: An Approach for Covering the Lack of Updated Reference Maps of Minas Gerais, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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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Anuário do Instituto de Geociências (Online) |
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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|| |
_version_ |
1797053535678889984 |