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soil mapping

Digital elevation model quality on digital soil mapping prediction accuracy

Digital elevation model quality on digital soil mapping prediction accuracy

... digital soil mapping (DSM) are commonly selected based on measures and indicators (quality criteria) that are thought to reflect how well a given DEM represents the terrain ...157 soil observations ...

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COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING

COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING

... of soil class was described by Chagas et ...digital soil mapping in Brazil, and mainly with a view to the selection of predictors, soil sampling techniques, evaluation of prediction methods ...

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Digital soil mapping using reference area and artificial neural networks

Digital soil mapping using reference area and artificial neural networks

... Digital soil mapping is an alternative for the recognition of soil classes in areas where pedological surveys are not ...digital soil map using artificial neural networks (ANN) and ...

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Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography

Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography

... ABSTRACT: Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs ...

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Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping

Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping

... digital soil mapping (DSM) are derived from digital elevation models (DEMs), which can be used to characterize the environment on a number of detailed scales (ten Caten et ...the soil classes that ...

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AN APPROPRIATE DATA SET SIZE FOR DIGITAL SOIL MAPPING IN ERECHIM, RIO GRANDE DO SUL, BRAZIL

AN APPROPRIATE DATA SET SIZE FOR DIGITAL SOIL MAPPING IN ERECHIM, RIO GRANDE DO SUL, BRAZIL

... Digital Soil Mapping ...The soil-landscape relationship was obtained from reambulation of the studied area and the alignment of the units in the 1:50,000 scale topographic ...factors soil ...

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Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area

Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area

... digital soil mapping (DSM) are being used for different soil mapping ...to soil data and environmental variables involved in soil ...for soil mapping in a tropical ...

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Predicting Runoff Risks by Digital Soil Mapping

Predicting Runoff Risks by Digital Soil Mapping

... detailed soil information can be acquired through digital soil mapping approaches ...of soil types and properties in a raster ...within soil class rather than considering soils vary ...

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DIGITAL SOIL MAPPING APPROACH BASED ON FUZZY LOGIC AND FIELD EXPERT KNOWLEDGE

DIGITAL SOIL MAPPING APPROACH BASED ON FUZZY LOGIC AND FIELD EXPERT KNOWLEDGE

... represent soil types and can be viewed as a non-linear transformation of environmental variables based on expert knowledge of a soil-landscape model (ZHU et ...in soil property prediction should be ...

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Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale

Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale

... The DSM-chart was validated using 595 points, sampled in the field through observation of profiles and random drilling, along with soil identification up to the second SiBCS categorical level. An error matrix was ...

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Digital Soil Mapping of Soil Properties in the “Mar de Morros” Environment Using Spectral Data

Digital Soil Mapping of Soil Properties in the “Mar de Morros” Environment Using Spectral Data

... predict soil properties from their spectra, this study aimed to predict the organic carbon (OC), clay, and extractable P contents from the MIR, Vis-NIR, and Vis-NIR-MIR using different preprocessing methods ...

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Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti

Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti

... digital soil mapping (McBratney et ...single soil components (LP, GL, FL) and soil associations NV and VX showed a fair contribution of the covariates CNW and elevation, indicating ...

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Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica

Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica

... Digital Soil Mapping (DSM) technique were laid by McBratney et ...of soil properties and classes, from observations, knowledge and covariate-related environmental ...improved soil studies and ...

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SOIL MOISTURE ASSESSED BY DIGITAL MAPPING TECHNIQUES AND ITS FIELD VALIDATION

SOIL MOISTURE ASSESSED BY DIGITAL MAPPING TECHNIQUES AND ITS FIELD VALIDATION

... The correlations between terrain attributes and field data are important in verifying the accuracy of these digital representations of the landscape and in determining the appropriate size of the cells that make up the ...

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Mapeamento de solos em duas sub-bacias hidrográficas usando dados legados e sua extrapolação para áreas similares do entorno

Mapeamento de solos em duas sub-bacias hidrográficas usando dados legados e sua extrapolação para áreas similares do entorno

... The soil maps that were generated based on BP methods showed lower accuracy compared to the PM method in VBW and greater in ...conventional soil mapping that included sites in transitional zones ...

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Mapping Soil Cation Exchange Capacity in a Semiarid Region through Predictive Models and Covariates from Remote Sensing Data

Mapping Soil Cation Exchange Capacity in a Semiarid Region through Predictive Models and Covariates from Remote Sensing Data

... in soil surveys, such as information related to soil-landscape relationships, makes it possible to achieve a good cost-benefit ratio and quality of ...digital mapping of soil properties ...

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Comissão 1.3 - Pedometria MultiPle GeoteChnoloGiCal tools aPPlied to diGital MaPPinG of troPiCal soils

Comissão 1.3 - Pedometria MultiPle GeoteChnoloGiCal tools aPPlied to diGital MaPPinG of troPiCal soils

... final soil classification of each sampling point was: (1) soil samples were grouped based on visual patterns of spectral curves; (2) quantitative data of physical and chemical soil properties ...

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Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil

Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil

... digital soil mapping, and have been compared in some studies for mapping various soil ...when mapping the depth to soft layers (peat or unripe clay) in a 97-ha area in the ...(2007), ...

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SoilGrids1km--global soil information based on automated mapping.

SoilGrids1km--global soil information based on automated mapping.

... deserts and bare rock areas it is perfectly valid to assume a 0 value for soil organic carbon, but it is not as straightforward to estimate soil pH for shifting sand areas for example. For the present, we ...

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EVALUATION OF STATISTICAL AND GEOSTATISTICAL MODELS OF DIGITAL SOIL PROPERTIES MAPPING IN TROPICAL MOUNTAIN REGIONS

EVALUATION OF STATISTICAL AND GEOSTATISTICAL MODELS OF DIGITAL SOIL PROPERTIES MAPPING IN TROPICAL MOUNTAIN REGIONS

... between soil properties and the factors that influence their variability are the basis of digital soil ...of soil properties evaluated in this work are statistical (multiple linear regression-MLR) ...

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