Open legacy soil survey data in Brazil: geospatial data quality and how to improve it.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114070 https://doi.org/10.1590/1678-992X-2017-0430 |
Resumo: | Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing or incorrect. This paper assesses the quality of the geospatial data of legacy soil observations in Brazil, and evaluates geospatial data sources (survey reports, maps, spatial data infrastructures, web mapping services) and expert knowledge as a means to fix inconsistencies. The analyses included several consistency checks performed on 6,195 observations from the Brazilian Soil Information System. The positional accuracy of geospatial data sources was estimated so as to obtain an indication of the quality for fixing inconsistencies. The coordinates of 20 soil observations, estimated using the web mapping service, were validated with the true coordinates measured in the field. Overall, inconsistencies of different types and magnitudes were found in half of the observations, causing mild to severe misplacements. The involuntary substitution of symbols and numeric characters with similar appearance when recording geospatial data was the most common typing mistake. Among the geospatial data sources, the web mapping service was the most useful, due to operational advantages and lower positional error (~6 m). However, the quality of the description of the observation location controls the accuracy of estimated coordinates. Thus, the error of coordinates estimated using the web mapping service ranged between 30 and 1000 m. This is equivalent to coordinates measured from arc-seconds to arc-minutes, respectively. Under this scenario, the feedback from soil survey experts is crucial to improving the quality of geospatial data. |
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Open legacy soil survey data in Brazil: geospatial data quality and how to improve it.Free Brazilian Repository for Open Soil DataPronaSolosPedometricsSoil data recoveryDigital soil mappingMapeamento digital do soloBase de DadosSoloDatabasesSoilSpatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing or incorrect. This paper assesses the quality of the geospatial data of legacy soil observations in Brazil, and evaluates geospatial data sources (survey reports, maps, spatial data infrastructures, web mapping services) and expert knowledge as a means to fix inconsistencies. The analyses included several consistency checks performed on 6,195 observations from the Brazilian Soil Information System. The positional accuracy of geospatial data sources was estimated so as to obtain an indication of the quality for fixing inconsistencies. The coordinates of 20 soil observations, estimated using the web mapping service, were validated with the true coordinates measured in the field. Overall, inconsistencies of different types and magnitudes were found in half of the observations, causing mild to severe misplacements. The involuntary substitution of symbols and numeric characters with similar appearance when recording geospatial data was the most common typing mistake. Among the geospatial data sources, the web mapping service was the most useful, due to operational advantages and lower positional error (~6 m). However, the quality of the description of the observation location controls the accuracy of estimated coordinates. Thus, the error of coordinates estimated using the web mapping service ranged between 30 and 1000 m. This is equivalent to coordinates measured from arc-seconds to arc-minutes, respectively. Under this scenario, the feedback from soil survey experts is crucial to improving the quality of geospatial data.ALESSANDRO SAMUEL-ROSA, UTFPR; RICARDO SIMÃO DINIZ DALMOLIN, UFSM; JEAN MICHEL MOURA-BUENO, UFSM; WENCESLAU GERALDES TEIXEIRA, CNPS; JOSE MARIA FILIPPINI ALBA, CPACT.SAMUEL-ROSA, A.DALMOLIN, R. S. D.MOURA-BRUNO, J. M.TEIXEIRA, W. G.FILIPPINI ALBA, J. M.2019-11-08T18:17:24Z2019-11-08T18:17:24Z2019-11-0820202019-11-08T18:17:24Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Agricola, v. 77, n. 1, e20170430, 2020.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114070https://doi.org/10.1590/1678-992X-2017-0430enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-11-08T18:17:31Zoai:www.alice.cnptia.embrapa.br:doc/1114070Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-11-08T18:17:31falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-11-08T18:17:31Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
title |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
spellingShingle |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. SAMUEL-ROSA, A. Free Brazilian Repository for Open Soil Data PronaSolos Pedometrics Soil data recovery Digital soil mapping Mapeamento digital do solo Base de Dados Solo Databases Soil |
title_short |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
title_full |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
title_fullStr |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
title_full_unstemmed |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
title_sort |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
author |
SAMUEL-ROSA, A. |
author_facet |
SAMUEL-ROSA, A. DALMOLIN, R. S. D. MOURA-BRUNO, J. M. TEIXEIRA, W. G. FILIPPINI ALBA, J. M. |
author_role |
author |
author2 |
DALMOLIN, R. S. D. MOURA-BRUNO, J. M. TEIXEIRA, W. G. FILIPPINI ALBA, J. M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
ALESSANDRO SAMUEL-ROSA, UTFPR; RICARDO SIMÃO DINIZ DALMOLIN, UFSM; JEAN MICHEL MOURA-BUENO, UFSM; WENCESLAU GERALDES TEIXEIRA, CNPS; JOSE MARIA FILIPPINI ALBA, CPACT. |
dc.contributor.author.fl_str_mv |
SAMUEL-ROSA, A. DALMOLIN, R. S. D. MOURA-BRUNO, J. M. TEIXEIRA, W. G. FILIPPINI ALBA, J. M. |
dc.subject.por.fl_str_mv |
Free Brazilian Repository for Open Soil Data PronaSolos Pedometrics Soil data recovery Digital soil mapping Mapeamento digital do solo Base de Dados Solo Databases Soil |
topic |
Free Brazilian Repository for Open Soil Data PronaSolos Pedometrics Soil data recovery Digital soil mapping Mapeamento digital do solo Base de Dados Solo Databases Soil |
description |
Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing or incorrect. This paper assesses the quality of the geospatial data of legacy soil observations in Brazil, and evaluates geospatial data sources (survey reports, maps, spatial data infrastructures, web mapping services) and expert knowledge as a means to fix inconsistencies. The analyses included several consistency checks performed on 6,195 observations from the Brazilian Soil Information System. The positional accuracy of geospatial data sources was estimated so as to obtain an indication of the quality for fixing inconsistencies. The coordinates of 20 soil observations, estimated using the web mapping service, were validated with the true coordinates measured in the field. Overall, inconsistencies of different types and magnitudes were found in half of the observations, causing mild to severe misplacements. The involuntary substitution of symbols and numeric characters with similar appearance when recording geospatial data was the most common typing mistake. Among the geospatial data sources, the web mapping service was the most useful, due to operational advantages and lower positional error (~6 m). However, the quality of the description of the observation location controls the accuracy of estimated coordinates. Thus, the error of coordinates estimated using the web mapping service ranged between 30 and 1000 m. This is equivalent to coordinates measured from arc-seconds to arc-minutes, respectively. Under this scenario, the feedback from soil survey experts is crucial to improving the quality of geospatial data. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-08T18:17:24Z 2019-11-08T18:17:24Z 2019-11-08 2019-11-08T18:17:24Z 2020 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Scientia Agricola, v. 77, n. 1, e20170430, 2020. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114070 https://doi.org/10.1590/1678-992X-2017-0430 |
identifier_str_mv |
Scientia Agricola, v. 77, n. 1, e20170430, 2020. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114070 https://doi.org/10.1590/1678-992X-2017-0430 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503483418738688 |