Open legacy soil survey data in Brazil: geospatial data quality and how to improve it
| Autor: | Wenceslau Geraldes Teixeira, Alessandro Samuel-Rosa, Jean Michel Moura-Bueno, José Maria Filippini Alba, Ricardo Simão Diniz Dalmolin |
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| Přispěvatelé: | ALESSANDRO SAMUEL-ROSA, UTFPR, RICARDO SIMÃO DINIZ DALMOLIN, UFSM, JEAN MICHEL MOURA-BUENO, UFSM, WENCESLAU GERALDES TEIXEIRA, CNPS, JOSE MARIA FILIPPINI ALBA, CPACT. |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Geospatial analysis Pedometrics Computer science computer.software_genre 01 natural sciences Soil survey Databases Soil Consistency (database systems) Digital soil mapping Spatial reference system PronaSolos soil data recovery lcsh:Agriculture (General) Free Brazilian Repository for Open Soil Data Spatial analysis 04 agricultural and veterinary sciences lcsh:S1-972 Solo digital soil mapping 040103 agronomy & agriculture Soil data recovery 0401 agriculture forestry and fisheries Base de Dados Mapeamento digital do solo Web mapping Data mining computer 010606 plant biology & botany |
| Zdroj: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA Scientia Agricola, Vol 77, Iss 1 Scientia Agricola v.77 n.1 2020 Scientia Agrícola Universidade de São Paulo (USP) instacron:USP Scientia Agricola, Volume: 77, Issue: 1, Article number: e20170430, Published: 01 JUL 2019 |
| ISSN: | 1678-992X |
| DOI: | 10.1590/1678-992x-2017-0430 |
| Popis: | 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. Made available in DSpace on 2019-11-08T18:17:24Z (GMT). No. of bitstreams: 1 OpenlegacysoilsurveydatainBrazil2020.pdf: 839022 bytes, checksum: 5cb6b61a35191c5c9cdf7352de307f97 (MD5) Previous issue date: 2020 |
| Databáze: | OpenAIRE |
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