Consulta: subjectFacets:"Pedometrics"
Registros recuperados: 12
Data/hora: 09/06/2024 07:25:35

Outlining precision boundaries among areas with different variability standards using magnetic susceptibility and geomorphic surfaces
Provedor de dados: 70
Autores: Matias,Sammy S. R.; Marques Júnior,José; Siqueira,Diego S.; Pereira,Gener T.
There is an increasing demand for detailed maps that represent in a simplified way the knowledge of the variability of a particular area or region maps. The objective was to outline precision boundaries among areas with different accuracy variability standards using magnetic susceptibility and geomorphic surfaces. The study was conducted in an area of 110 ha, which identified three compartment landscapes based on the geomorphic surfaces model. To determinate pH, organic matter, phosphorus, potassium and magnesium, the total sand and clay, 514 soil samples were collected at depths of 0-0.20 m and 0.60-0.80 m. The sum of base, cationic exchange capacity and base saturation were calculated and the magnetic susceptibility was evaluated in the laboratory using...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Detailed mapping; Pedometrics; Accuracy boundaries.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000400009

Mapeamento de solos do tradicional ao digital.
Provedor de dados: 14
Autores: LIMA, L. A. de S.; NEUMANN, M. R. B; BRAGA, A. R. dos S.; ROIG, H. L.
bitstream/item/116635/1/doc-316.pdf
Tipo: Documentos (INFOTECA-E)
Palavras-chave: Método quantitativo; Pedometria; Mapa digital de solo; Digital soil map; Statistical method; Quantitative method; Pedology; Pedometrics; Soil recognition.; Método Estatístico; Pedologia; Reconhecimento do Solo.; Geostatistics.
Ano: 2013
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1005933

Magnetic susceptibility for characterizing areas with different potentials for sugarcane production
Provedor de dados: 86
Autores: Siqueira,Diego Silva; Marques Júnior,José; Teixeira,Daniel De Bortoli; Matias,Sammy Sidney Rocha; Camargo,Livia Arantes; Pereira,Gener Tadeu.
Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Detailed mapping; Geostatistics; Indirect quantification; Pedometrics; Scaled semivariogram; Spatial correlation.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000901349

Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale
Provedor de dados: 86
Autores: Wolski,Mario Sergio; Dalmolin,Ricardo Simão Diniz; Flores,Carlos Alberto; Moura-Bueno,Jean Michel; Caten,Alexandre ten; Kaiser,Douglas Rodrigo.
Abstract: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies previously conducted in Brazil. A soil survey in a 10 km2 RA, using conventional mapping techniques (scale 1:10,000), was made in order to map a 678 km2 physiographically similar area (scale 1:50,000) using DSM. The decision tree technique was employed to build a predictive extrapolation model based on soil classes and eight terrain attributes in the RA. The validation of DSM by application of field observation points resulted in a 66.1% global accuracy and in 0.36 kappa index. The most...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Landscape stratification; Pedometrics; Predictive soil mapping; Reference area; Terrain attributes.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800633

Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil
Provedor de dados: 86
Autores: Vasques,Gustavo Mattos; Coelho,Maurício Rizzato; Dart,Ricardo Oliveira; Oliveira,Ronaldo Pereira; Teixeira,Wenceslau Geraldes.
Abstract The objective of this work was to compare ordinary kriging with regression kriging to map soil properties at different depths in a tropical dry forest area in Brazil. The 11 soil properties evaluated were: organic carbon content and stock; bulk density; clay, sand, and silt contents; cation exchange capacity; pH; water retention at field capacity and at permanent wilting point; and available water. Samples were taken from 327 sites at 0.0-0.10, 0.10-0.20, and 0.20-0.40-m depths, in a tropical dry forest area of 102 km2. Stepwise linear regression models for particle-size fractions and water retention properties had the best fit. Relief and parent material covariates were selected in 31 of the 33 models (11 properties at three depths) and...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Caatinga; Digital soil mapping; Gamma radiometric survey; Geostatistics; Pedometrics.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000901371

Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
Provedor de dados: 90
Autores: Meier,Martin; Souza,Eliana de; Francelino,Marcio Rocha; Fernandes Filho,Elpídio Inácio; Schaefer,Carlos Ernesto Gonçalves Reynaud.
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data and environmental variables involved in soil mapping. This paper investigated the performance of eight machine learning algorithms for soil mapping in a tropical mountainous area of an official rural settlement in the Zona da Mata region in Brazil. Morphometric maps generated from a digital elevation model, together with Landsat-8 satellite imagery, and climatic maps, were among the set of covariates to be selected by the Recursive Feature Elimination algorithm to predict soil types using machine...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil classification; Machine learning; Pedometrics; Land use planning; Agrarian reform.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100313

Boundary between Soil and Saprolite in Alisols in the South of Brazil
Provedor de dados: 90
Autores: Pedron,Fabrício de Araújo; Oliveira,Rodrigo Bomicieli de; Dalmolin,Ricardo Simão Diniz; Azevedo,Antonio Carlos de; Kilca,Ricardo Vargas.
Despite numerous studies conducted on the lower limit of soil and its contact with saprolite layers, a great deal of work is left to standardize identification and annotation of these variables in the field. In shallow soils, the appropriately noting these limits or contacts is essential for determining their behavior and potential use. The aims of this study were to identify and define the field contact and/or transition zone between soil and saprolite in profiles of an Alisol derived from fine sandstone and siltstone/claystone in subtropical southern Brazil and to subsequently validate the field observations through a multivariate analysis of laboratory analytical data. In the six Alisol profiles evaluated, the sequence of horizons found was A, Bt, C,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Pedology; Soil classification; Soil morphology; Pedometrics.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000300643

Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil
Provedor de dados: 90
Autores: Ramos,Priscila Vogelei; Dalmolin,Ricardo Simão Diniz; Marques Júnior,José; Siqueira,Diego Silva; Almeida,Jaime Antonio de; Moura-Bueno,Jean Michel.
ABSTRACT The interest in new techniques to support digital soil mapping (DSM) is increasing. Numerous studies pointed out that the measure of magnetic susceptibility (MS) can be extremely useful in the identification of properties related with factors and processes of soil formation, applied to soil mapping. This study addressed the effectiveness of magnetic soil susceptibility to identify and facilitate the distinction of different pedogenic environments of a representative hillslope in the highland Planalto Médio in the state of Rio Grande do Sul (RS), Brazil. In a 350-ha area in the municipality of Santo Augusto, RS, a representative transect was selected, trenches opened for soil characterization and 29 grid points marked at regular distances of 50 m,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Pedometrics; Geomorphology; Detailed mapping.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100301

AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R
Provedor de dados: 90
Autores: Dotto,André Carnieletto; Dalmolin,Ricardo Simão Diniz; Caten,Alexandre ten; Gris,Diego José; Ruiz,Luis Fernando Chimelo.
ABSTRACT Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology. This paper describes the implementation of a Graphical User Interface (GUI) using R named AlradSpectra. It contains several tools to process spectroscopic data and generate models to predict soil properties. The GUI was developed to accomplish tasks such as perform a large range of spectral preprocessing techniques, implement several multivariate calibration methods, generate statistics assessment and graphical output, validate the models using independent dataset, and predict unknown variables using...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: GUI; R environment; Multivariate calibration; Spectral preprocessing; Pedometrics.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100303

Digital soil mapping: strategy for data pre-processing
Provedor de dados: 90
Autores: Caten,Alexandre ten; Dalmolin,Ricardo Simão Diniz; Ruiz,Luis Fernando Chimelo.
The region of greatest variability on soil maps is along the edge of their polygons, causing disagreement among pedologists about the appropriate description of soil classes at these locations. The objective of this work was to propose a strategy for data pre-processing applied to digital soil mapping (DSM). Soil polygons on a training map were shrunk by 100 and 160 m. This strategy prevented the use of covariates located near the edge of the soil classes for the Decision Tree (DT) models. Three DT models derived from eight predictive covariates, related to relief and organism factors sampled on the original polygons of a soil map and on polygons shrunk by 100 and 160 m were used to predict soil classes. The DT model derived from observations 160 m away...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Choropleth map; Pedometrics; Soil survey; Decision tree.
Ano: 2012
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832012000400003

Open legacy soil survey data in Brazil: geospatial data quality and how to improve it
Provedor de dados: 63
Autores: Samuel-Rosa,Alessandro; Dalmolin,Ricardo Simão Diniz; Moura-Bueno,Jean Michel; Teixeira,Wenceslau Geraldes; Alba,José Maria Filippini.
ABSTRACT: 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...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Free Brazilian Repository for Open Soil Data; PronaSolos; Pedometrics; Soil data recovery; Digital soil mapping.
Ano: 2020
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000101401

Bibliometric Analysis for Pattern Exploration in Worldwide Digital Soil Mapping Publications
Provedor de dados: 42
Autores: CANCIAN,LUCIANO C.; DALMOLIN,RICARDO S.D.; CATEN,ALEXANDRE T.
Abstract Bibliometric analyses provide a clear understanding of the scientific performance and relate them with standards of the global scientific production. Soil science is an outstanding and developing field among environmental sciences. Knowledge about soil characteristics and their distribution in the environment has been enriched by the use of new geotechnologies, resulting in what is known as digital soil mapping. Thus, the objective of this work was to characterize the scientific production in digital soil mapping in Brazil and in the world, in the period from 1996 to 2017, in databases such as Scopus and Web of Science. In the general context of increasing numbers of papers, the journal Geoderma published the highest number of related papers....
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Pedometrics; Soil science; Soil meta-analysis; Soil survey.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000703911