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European Journal of Soil Science, ISSN 1351-0754, 2019
In digital soil mapping, machine learning (ML) techniques are being used to infer a relationship between a soil property and the covariates. The information... 
mapping | random forest | variable selection | pedometrics | soil science
Journal Article
Geoderma, ISSN 0016-7061, 08/2018, Volume 324, pp. 138 - 147
Simple and ordinary kriging assume a constant mean and variance of the soil variable of interest. This assumption is often implausible because the mean and/or... 
Uncertainty assessment | Pedometrics | REML | Kriging | Geostatistics | Non-stationarity | SOIL SCIENCE | CLASSIFICATION | OPTIMIZATION | Geology | Analysis | Statistical methods
Journal Article
Geoderma, ISSN 0016-7061, 01/2020, Volume 358, p. 113997
Soil horizonation has traditionally relied upon morphological description, field sampling, and laboratory analysis as a means of establishing key diagnostic... 
Pedology | Pedometrics | Elemental data | Proximal sensors | Soil profile description | SOIL SCIENCE | DEPTH FUNCTIONS
Journal Article
Revista Brasileira de Ciencia do Solo, ISSN 0100-0683, 05/2015, Volume 39, Issue 3, pp. 643 - 653
Journal Article
Geoderma, ISSN 0016-7061, 2009, Volume 152, Issue 3, pp. 195 - 207
The history of digital soil mapping and modeling (DSMM) is marked by adoption of new mapping tools and techniques, data management systems, innovative delivery... 
Soils | Digital soil modeling | Quantitative methods | Pedometrics | Digital soil mapping | PEDOTRANSFER FUNCTIONS | LANDSCAPE | CLAY CONTENT | FIELD | SPATIAL VARIABILITY | INFRARED-SPECTROSCOPY | ORGANIC-CARBON CONTENT | WATER-RETENTION | PREDICTION | CATEGORICAL VARIABLES | SOIL SCIENCE | Soil science | Geology | Analysis | Water quality
Journal Article
Science of the Total Environment, ISSN 0048-9697, 11/2019, Volume 693, p. 133463
The demand for information on the soil resource to support the establishment of public policies for land use and management has grown exponentially in the last... 
Cluster analysis | Support vector machines | Soil magnetism | Pedometrics | Soil classification | SUSCEPTIBILITY | CLASSIFICATION | REGION | VARIABILITY | ENVIRONMENTAL SCIENCES | AREA | MAPS | TREE | SPATIAL-DISTRIBUTION
Journal Article
Geoderma, ISSN 0016-7061, 12/2019, Volume 355, p. 113913
Machine learning techniques are widely employed to generate digital soil maps. The map accuracy is partly determined by the number and spatial locations of the... 
Spatial simulated annealing | k-means | Random forest | LUCAS | Uncertainty assessment | Pedometrics | Conditioned Latin Hypercube | Spatial coverage | Optimal design | FIELDS | SCHEME | SOIL SCIENCE | CONSTRAINED OPTIMIZATION
Journal Article
Agronomia Colombiana, ISSN 0120-9965, 2015, Volume 33, Issue 1, pp. 99 - 106
Journal Article
by Demattê, José A.M and Dotto, André Carnieletto and Paiva, Ariane F.S and Sato, Marcus V and Dalmolin, Ricardo S.D and de Araújo, Maria do Socorro B and da Silva, Elisângela B and da Silva, Airon J and da Silva, Rafael C and da Silva, Marcelo Z and Nanni, Marcos R and ten Caten, Alexandre and Noronha, Norberto C and Lacerda, Marilusa P.C and de Araújo Filho, José Coelho and Rizzo, Rodnei and Bellinaso, Henrique and Francelino, Márcio R and Schaefer, Carlos E.G.R and Vicente, Luiz E and dos Santos, Uemeson J and de Sá Barretto Sampaio, Everardo V and Menezes, Rômulo S.C and de Souza, Sara F and de Souza, José João L.L and Abrahão, Walter A.P and Coelho, Ricardo M and Grego, Célia R and Lani, João L and Fernandes, Antonio R and Gonçalves, Deyvison A.M and Silva, Sérgio H.G and de Menezes, Michele D and Curi, Nilton and Couto, Eduardo G and dos Anjos, Lúcia H.C and Ceddia, Marcos B and Pinheiro, Érika F.M and Grunwald, Sabine and Vasques, Gustavo M and Marques Júnior, José and Barreto, Marcos C. de Vasconcelos and Nóbrega, Gabriel N and Valladares, Gustavo S and Viana, João Herbert M and da Silva Terra, Fabricio and Horák-Terra, Ingrid and Fiorio, Peterson R and Frade Júnior, Elizio F and Lima, Raimundo H.C and Alba, José M. Filippini and de Souza Junior, Valdomiro S and Brefin, Maria De Lourdes Mendonça Santos and Ruivo, Maria De Lourdes P and Ferreira, Tiago O and Brait, Marny A and Caetano, Norton R and Bringhenti, Idone and de Sousa Mendes, Wanderson and Safanelli, José L and Guimarães, Clécia C.B and Poppiel, Raul R and e Souza, Arnaldo Barros and Quesada, Carlos A and do Couto, Hilton T. Zarate
Geoderma, ISSN 0016-7061, 11/2019, Volume 354, p. 113793
The present study was developed in a joint partnership with the Brazilian pedometrics community to standardize and evaluate spectra within the 350–2500 nm... 
Vis-NIR-SWIR spectroscopy | Spectral sensing | Proximal sensing | Pedometrics | REGRESSION | QUALITY | CLASSIFICATION | ORGANIC-CARBON CONTENT | QUANTITATIVE-ANALYSIS | PREDICTION | SOIL SCIENCE | MODELS | NIR | SELECTION | REFLECTANCE SPECTROSCOPY
Journal Article
Geoderma, ISSN 0016-7061, 11/2019, Volume 354, p. 113840
Assessment and monitoring of soil resources is needed for ensuring environmental sustainability of rice production in sub-Saharan Africa (SSA). Diffuse... 
Pedometrics | Soil fertility | Chemometrics | Partial least-squares regression | Rice | ATTRIBUTES | CARBON | SPECTRAL LIBRARIES | PARAMETERS | PREDICTION | SOIL SCIENCE | EXCHANGEABLE ALUMINUM | INDICATORS | NIR | SORPTION INDEX
Journal Article
South African Journal of Plant and Soil, ISSN 0257-1862, 08/2018, Volume 35, Issue 4, pp. 269 - 279
This work applies pedometric tools to analyse soil property information relevant to morphological characterisation and soil classification. The objective of... 
soil depth functions | soil properties | AQP package | pedometrics
Journal Article
Geoderma, ISSN 0016-7061, 05/2018, Volume 318, pp. 123 - 136
Assessments of soils by reflectance spectroscopy have potential to facilitate and optimize soil survey, classification, and mapping of large areas. Visible and... 
Reflectance spectroscopy | Soil spectral behavior | Soil survey | Pedometrics | Digital soil mapping | SOIL SCIENCE | PROFILES | DISCRIMINATION | FIELD | OXIDES | DIFFUSE-REFLECTANCE SPECTROSCOPY | BRAZIL
Journal Article
Geoderma, ISSN 0016-7061, 09/2018, Volume 326, pp. 22 - 41
Appropriate scale, justifiably reliable, categorical and continuous spatial soil information is urgently needed to address environmental problems and ensure... 
Regression kriging | Accuracy | Pedometrics | Digital soil mapping | Soil spatial predictions models | REGIONAL-SCALE | TERRAIN ATTRIBUTES | GEOSTATISTICAL MODELS | ORGANIC-MATTER | SPATIAL PREDICTION | VARIABILITY | INTERPOLATION | GEOGRAPHICALLY WEIGHTED REGRESSION | CATEGORICAL VARIABLES | SOIL SCIENCE | HORIZON DEPTH
Journal Article
Catena, ISSN 0341-8162, 04/2016, Volume 139, pp. 232 - 240
Soil texture is an essential and extremely variable physical property that strongly influences many other soil properties that are highly relevant for... 
Grain size | Pedometrics | Digital soil mapping | Granulometric composition | Landsat dataset | MATTER | FIELD | WATER RESOURCES | MODEL | SOIL SCIENCE | GEOSCIENCES, MULTIDISCIPLINARY | SPECTROSCOPY | PARTICLE-SIZE FRACTIONS | ORGANIC-CARBON | SPECTRAL REFLECTANCE | STOCKS | SCALE | Silt | Earth resources technology satellites | Analysis | Usage | Remote sensing
Journal Article
Geoderma, ISSN 0016-7061, 07/2017, Volume 298, pp. 78 - 91
As countries of Eastern Europe look to advance their agricultural markets through large scale agronomic production, high resolution mapping of soil resources... 
Catena | Romania | Pedometrics | Proximal sensors | INFRARED REFLECTANCE SPECTROSCOPY | FIELD | X-RAY-FLUORESCENCE | ORGANIC-MATTER | SOIL SCIENCE | CARBON STOCK | PETROLEUM-CONTAMINATED SOILS | NIR | PREDICTIONS | RAPID IDENTIFICATION | CLAY | Soils | Carbon content | Information management | Sensors | Analysis | X-ray spectroscopy
Journal Article