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| Registros recuperados : 222 | |
| 148. |  | FILIPPINI ALBA, J. M.; CRUZ, L. E. C.; DUCATI, J. R.; MORAES, J. O.; CUNHA, H. N. Espectrorradiometria na agricultura de precisão: estudo de caso em solos de terras baixas, Capão do Leão-RS, Brasil. In: CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO - ConBAP, 2018, Curitiba. Proceedings... Curitiba: ConBAP, 2018. p. 1-3| Biblioteca(s): Embrapa Clima Temperado. |
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| 150. | | CRIZEL, G. R.; ROMBALDI, C. V.; MIELE, A.; FILIPPINI ALBA, J. M.; FLORES, C. A.; GIRARDI, C. L. Fluorescência da clorofila para avaliar antocianinas em uvas cv. Merlot. In:CONGRESSO LATINO-AMERICANO DE VITICULTURA E ENOLOGIA, 15., 2015, Bento Gonçalves, RS. p 223. XV CLAVE - CBVE 2015| Biblioteca(s): Embrapa Uva e Vinho. |
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| 153. | | FLORES, C. A.; FILIPPINI ALBA, J. M.; LEVIEN, H. F.; ZARNOTT, D. H.; MIELE, A.; PAVAN, C. Levantamento detalhado dos solos e a viticultura de precisão. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. [Uberlândia]: SBCS: UFU, ICIAG, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Clima Temperado; Embrapa Uva e Vinho. |
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| 158. | | GARRASTAZU, M. C.; HASENACK, H.; WEBER, E.; FLORES, C. A.; SEVERO, C. R. S.; FILIPPINI ALBA, J. M. Estruturação de base cartográfica e temática em SIG. In: FLORES, C. A.; ALBA, J. M. F.; WREGE, M. S. (Ed.). Zoneamento agroclimático do eucalipto para o Estado do Rio Grande do Sul e edafoclimático na Região do Corede Sul - RS. Pelotas: Embrapa Clima Temperado, 2009. p. 33-40| Biblioteca(s): Embrapa Clima Temperado; Embrapa Florestas. |
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| 160. | | CUNHA, H. N. da; NÓBREGA, M. R. R.; FIORI, D.; FILIPPINI ALBA, J. M.; MIURA, A. K.; SALDANHA, D. L. Mapeamento de áreas de preservação permanente de topo de morro na bacia hidrográfica do Alto Camaquã, RS, nos termos da resolução CONAMA de 2002 (revogado) e do Novo Código Florestal de 2012. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 6826-6832| Biblioteca(s): Embrapa Clima Temperado. |
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| Registros recuperados : 222 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
08/11/2019 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; MOURA-BRUNO, J. M.; TEIXEIRA, W. G.; FILIPPINI ALBA, J. M. |
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Afiliação: |
ALESSANDRO SAMUEL-ROSA, UTFPR; RICARDO SIMÃO DINIZ DALMOLIN, UFSM; JEAN MICHEL MOURA-BUENO, UFSM; WENCESLAU GERALDES TEIXEIRA, CNPS; JOSE MARIA FILIPPINI ALBA, CPACT. |
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Título: |
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Scientia Agricola, v. 77, n. 1, e20170430, 2020. |
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DOI: |
https://doi.org/10.1590/1678-992X-2017-0430 |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosSpatial 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... Mostrar Tudo |
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Palavras-Chave: |
Digital soil mapping; Free Brazilian Repository for Open Soil Data; Mapeamento digital do solo; Pedometrics; PronaSolos; Soil data recovery. |
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Thesagro: |
Base de Dados; Solo. |
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Thesaurus NAL: |
Databases; Soil. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204430/1/Open-legacy-soil-survey-data-in-Brazil-2020.pdf
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Marc: |
LEADER 02659naa a2200301 a 4500
001 2114070
005 2021-11-11
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1678-992X-2017-0430$2DOI
100 1 $aSAMUEL-ROSA, A.
245 $aOpen legacy soil survey data in Brazil$bgeospatial data quality and how to improve it.$h[electronic resource]
260 $c2020
520 $aSpatial 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.
650 $aDatabases
650 $aSoil
650 $aBase de Dados
650 $aSolo
653 $aDigital soil mapping
653 $aFree Brazilian Repository for Open Soil Data
653 $aMapeamento digital do solo
653 $aPedometrics
653 $aPronaSolos
653 $aSoil data recovery
700 1 $aDALMOLIN, R. S. D.
700 1 $aMOURA-BRUNO, J. M.
700 1 $aTEIXEIRA, W. G.
700 1 $aFILIPPINI ALBA, J. M.
773 $tScientia Agricola$gv. 77, n. 1, e20170430, 2020.
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