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Mapeamento de solos do tradicional ao digital. Infoteca-e
LIMA, L. A. de S.; NEUMANN, M. R. B; BRAGA, A. R. dos S.; ROIG, H. L..
2013
Tipo: Documentos (INFOTECA-E) Palavras-chave: Pedologia; Reconhecimento do solo; Método estatístico; Método quantitativo; Pedometria; Mapa digital de solo; Digital soil map; Statistical method; Quantitative method; Pedology; Pedometrics; Soil recognition; Geostatistics.
Ano: 2013 URL: http://www.infoteca.cnptia.embrapa.br/handle/doc/1005933
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Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. Repositório Alice
SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; MOURA-BRUNO, J. M.; TEIXEIRA, W. G.; FILIPPINI ALBA, J. M..
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...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: 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.
Ano: 2019 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114070
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Soil classification from visible/near-infrared diffuse reflectance spectra at multiple depths. Repositório Alice
VASQUES, G. de M.; DEMATTE, J. A. M.; LOPEZ, L.R.; TERRA, F. da S..
Abstract : Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. We combined principal component (PC) analysis, and multinomial logistic regression to classify 291 soils at the levels of suborder (second highest), and suborder with textural classification (STC), described in the field according to the Brazilian Soil Classification System. Soil visible/near-infrared (400-2500 nm) spectra were collected from three depth...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Multivariate classification; Pedometrics; Spectroscopy.
Ano: 2011 URL: http://www.alice.cnptia.embrapa.br/handle/doc/939003
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