Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method
Salvato in:
| Autore principale: | |
|---|---|
| Data di pubblicazione: | 2019 |
| Altri autori: | , , , , |
| Natura: | Article |
| Lingua: | eng |
| Fonte: | Repositório Institucional da UnB |
| Download full: | https://repositorio.unb.br/handle/10482/36174 https://doi.org/10.1016/j.dib.2019.104070 |
Riassunto: | Geospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable soil management, environmental assessment, and other research topics that are of vital importance to agriculture and economy. Proximal and Remote sensing technologies enables us to collect, process, and analyze spectral data and to retrieve, synthesize, visualize valuable geospatial information for multidisciplinary uses. We obtained the soil class map provided in this article by processing and analyzing proximal and remote sensed data from soil samples collected in toposequences based on pedomorphogeological relashionships. The soils were classified up to the second categorical level (suborder) of the Brazilian Soil Classification System (SiBCS), as well as in the World Reference Base (WRB) and United States Soil Taxonomy (ST) systems. The raster map has 30 m resolution and its accuracy is 73% (Kappa coefficient of 0.73). The soil legend represents a soil class followed by its topsoil color. |
| _version_ | 1871442362400505856 |
|---|---|
| author | Poppiel, Raúl R. |
| author2 | Lacerda, Marilusa Pinto Coelho Demattê, José A. M. Oliveira Jr., Manuel P. Gallo, Bruna C. Safanelli, José L. |
| author2_role | author author author author author |
| author_browse | Demattê, José A. M. Gallo, Bruna C. Lacerda, Marilusa Pinto Coelho Oliveira Jr., Manuel P. Poppiel, Raúl R. Safanelli, José L. |
| author_facet | Poppiel, Raúl R. Lacerda, Marilusa Pinto Coelho Demattê, José A. M. Oliveira Jr., Manuel P. Gallo, Bruna C. Safanelli, José L. |
| author_role | author |
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| bitstream.url.fl_str_mv | http://repositorio2.unb.br/jspui/bitstream/10482/36174/1/ARTIGO_SoilClassMap.pdf http://repositorio2.unb.br/jspui/bitstream/10482/36174/2/license.txt |
| collection | Repositório Institucional da UnB |
| dc.contributor.author.fl_str_mv | Poppiel, Raúl R. Lacerda, Marilusa Pinto Coelho Demattê, José A. M. Oliveira Jr., Manuel P. Gallo, Bruna C. Safanelli, José L. |
| dc.date.accessioned.fl_str_mv | 2020-01-21T13:09:01Z |
| dc.date.available.fl_str_mv | 2020-01-21T13:09:01Z |
| dc.date.issued.fl_str_mv | 2019 |
| dc.identifier.citation.fl_str_mv | POPPIEL, Raúl R. et al. Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method. Data in Brief, v. 25, 104070, 2019. DOI: https://doi.org/10.1016/j.dib.2019.104070. Disponível em: https://www.sciencedirect.com/science/article/pii/S235234091930424X. Acesso em: 21 jan. 2020. |
| dc.identifier.doi.pt_BR.fl_str_mv | https://doi.org/10.1016/j.dib.2019.104070 |
| dc.identifier.uri.fl_str_mv | https://repositorio.unb.br/handle/10482/36174 |
| dc.language.iso.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier Inc. |
| dc.rights.driver.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositório Institucional da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
| dc.subject.keyword.pt_BR.fl_str_mv | Mapeamento digital do solo Solos - manejo Planejamento agrícola |
| dc.title.pt_BR.fl_str_mv | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| dc.type.driver.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.status.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Geospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable soil management, environmental assessment, and other research topics that are of vital importance to agriculture and economy. Proximal and Remote sensing technologies enables us to collect, process, and analyze spectral data and to retrieve, synthesize, visualize valuable geospatial information for multidisciplinary uses. We obtained the soil class map provided in this article by processing and analyzing proximal and remote sensed data from soil samples collected in toposequences based on pedomorphogeological relashionships. The soils were classified up to the second categorical level (suborder) of the Brazilian Soil Classification System (SiBCS), as well as in the World Reference Base (WRB) and United States Soil Taxonomy (ST) systems. The raster map has 30 m resolution and its accuracy is 73% (Kappa coefficient of 0.73). The soil legend represents a soil class followed by its topsoil color. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | UNB_749cbbc3e7b97dea117f54aefd7c742e |
| identifier_str_mv | POPPIEL, Raúl R. et al. Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method. Data in Brief, v. 25, 104070, 2019. DOI: https://doi.org/10.1016/j.dib.2019.104070. Disponível em: https://www.sciencedirect.com/science/article/pii/S235234091930424X. Acesso em: 21 jan. 2020. |
| instacron_str | UNB |
| institution | UNB |
| instname_str | Universidade de Brasília (UnB) |
| language | eng |
| network_acronym_str | UNB |
| network_name_str | Repositório Institucional da UnB |
| oai_identifier_str | oai:repositorio.unb.br:10482/36174 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher.none.fl_str_mv | Elsevier Inc. |
| reponame_str | Repositório Institucional da UnB |
| repository.mail.fl_str_mv | repositorio@unb.br |
| repository.name.fl_str_mv | Repositório Institucional da UnB - Universidade de Brasília (UnB) |
| repository_id_str | |
| spelling | Poppiel, Raúl R.Lacerda, Marilusa Pinto CoelhoDemattê, José A. M.Oliveira Jr., Manuel P.Gallo, Bruna C.Safanelli, José L.2020-01-21T13:09:01Z2020-01-21T13:09:01Z2019POPPIEL, Raúl R. et al. Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method. Data in Brief, v. 25, 104070, 2019. DOI: https://doi.org/10.1016/j.dib.2019.104070. Disponível em: https://www.sciencedirect.com/science/article/pii/S235234091930424X. Acesso em: 21 jan. 2020.https://repositorio.unb.br/handle/10482/36174https://doi.org/10.1016/j.dib.2019.104070Elsevier Inc.© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).info:eu-repo/semantics/openAccessSoil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA methodinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleMapeamento digital do soloSolos - manejoPlanejamento agrícolaGeospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable soil management, environmental assessment, and other research topics that are of vital importance to agriculture and economy. Proximal and Remote sensing technologies enables us to collect, process, and analyze spectral data and to retrieve, synthesize, visualize valuable geospatial information for multidisciplinary uses. We obtained the soil class map provided in this article by processing and analyzing proximal and remote sensed data from soil samples collected in toposequences based on pedomorphogeological relashionships. The soils were classified up to the second categorical level (suborder) of the Brazilian Soil Classification System (SiBCS), as well as in the World Reference Base (WRB) and United States Soil Taxonomy (ST) systems. The raster map has 30 m resolution and its accuracy is 73% (Kappa coefficient of 0.73). The soil legend represents a soil class followed by its topsoil color.Faculdade de Agronomia e Medicina Veterinária (FAV)engreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNBORIGINALARTIGO_SoilClassMap.pdfARTIGO_SoilClassMap.pdfapplication/pdf1051970http://repositorio2.unb.br/jspui/bitstream/10482/36174/1/ARTIGO_SoilClassMap.pdf4c05009a66423a25e5f0a5ea6b9dbeccMD51open accessLICENSElicense.txtlicense.txttext/plain163http://repositorio2.unb.br/jspui/bitstream/10482/36174/2/license.txtba54f8d1c5f5ec8df897ad678916c701MD52open access10482/361742023-09-01 16:16:21.056open accessoai:repositorio.unb.br:10482/36174U3VibWlzc8OjbyBlZmV0aXZhZGEgcG9yIGludGVncmFudGUgZGEgZXF1aXBlIGRvIFJlcG9zaXTDs3JpbyBJbnN0aXR1Y2lvbmFsIGRhIFVuQiBkZSBhY29yZG8gY29tIGxpY2Vuw6dhIGNvbmNlZGlkYSBwZWxvIGF1dG9yIGUvb3UgZGV0ZW50b3IgZG9zIGRpcmVpdG9zIGF1dG9yYWlzLg==Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2023-09-01T19:16:21Repositório Institucional da UnB - Universidade de Brasília (UnB) |
| spellingShingle | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method Poppiel, Raúl R. Mapeamento digital do solo Solos - manejo Planejamento agrícola |
| status_str | publishedVersion |
| title | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| title_full | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| title_fullStr | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| title_full_unstemmed | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| title_short | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| title_sort | Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method |
| topic | Mapeamento digital do solo Solos - manejo Planejamento agrícola |
| url | https://repositorio.unb.br/handle/10482/36174 https://doi.org/10.1016/j.dib.2019.104070 |