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An Interpolation Approach for Soil Properties Based on Bayesian Compressed Sensing and Sparse Dictionaries
38/38 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 38 checked references that resolve
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Application of Continuous Wavelet Transform in Examining Soil Spatial Variation: A Review
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From wireless sensors to field mapping: Anatomy of an application for precision agriculture
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
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Geostatistical Stochastic Simulation of Soil Water Content in a Forested Area of South Italy
resolves10.1016/j.geoderma.2020.114227
Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy
resolves10.1016/j.catena.2009.08.001
Using sequential Gaussian simulation to assess the field-scale spatial uncertainty of soil water content
resolves10.1190/1.3157250
Transform-domain sparsity regularization for inverse problems in geosciences
resolves10.1016/j.advwatres.2011.09.002
Sparse geologic dictionaries for subsurface flow model calibration: Part I. Inversion formulation
resolves10.1016/j.advwatres.2011.10.005
Sparse geologic dictionaries for subsurface flow model calibration: Part II. Robustness to uncertainty
resolves10.1016/j.envsoft.2011.07.004
Application of machine learning methods to spatial interpolation of environmental variables
resolves10.1016/j.advwatres.2010.06.005
A sparse Bayesian framework for conditioning uncertain geologic models to nonlinear flow measurements
resolves10.1016/j.catena.2013.09.006
A tutorial guide to geostatistics: Computing and modelling variograms and kriging
resolves10.1007/s10457-018-0244-4
Spatial variability and simulation of soil organic carbon under different land use systems: geostatistical approach
resolves10.1109/ACCESS.2020.3048415
Machine Learning Applications for Precision Agriculture: A Comprehensive Review
resolves10.1109/JOE.2020.2974270
A Kriged Compressive Sensing Approach to Reconstruct Acoustic Fields From Measurements Collected by Underwater Vehicles
resolves10.1016/j.enggeo.2017.10.019
Interpolation of spatially varying but sparsely measured geo-data: A comparative study
resolves10.1680/jgeot.16.P.143
Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling
resolves10.1139/cgj-2015-0545
Interpretation of soil property profile from limited measurement data: a compressive sampling perspective
resolves10.1016/j.chemosphere.2010.09.053
Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis
resolves10.1016/j.enggeo.2018.09.022
Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling
resolves10.1139/cgj-2018-0286
Determination of efficient sampling locations in geotechnical site characterization using information entropy and Bayesian compressive sampling
resolves10.1016/j.ymssp.2018.04.042
Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing
resolves10.1016/j.enggeo.2020.105670
Fast non-parametric simulation of 2D multi-layer cone penetration test (CPT) data without pre-stratification using Markov Chain Monte Carlo simulation
resolves10.1016/S1002-0160(20)60021-2
Simulating soil erodibility in southeastern China using a sequential Gaussian algorithm
The 19 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedref3
no DOI — not checkedAssessing models for prediction of some soil chemical properties from portable X-ray fluorescence (pXRF) spectrometry data in Brazilian Coastal Plains
no DOI — not checkedref6
no DOI — not checkedAdaptive sparseness for supervised learning
no DOI — not checkedThe Elements of Statistical Learning : Data Mining , Inference and Prediction Probability Theory : The Logic of Science The Fundamentals of Risk Measurement Mathematicians , pure and applied , think there is something weirdly different about
no DOI — not checkedUncertainty Quantification of Random Fields Based on Spatially Sparse Data by Synthesizing Bayesian Compressive Sensing and Stochastic Harmonic Function
no DOI — not checkedSoil organic carbon prediction with terrain derivatives using geostatistics and sequential Gaussian simulation
no DOI — not checkedA discrete imaging formulation for history matching complex geologic facies
no DOI — not checkedSparse geologic dictionaries for field-scale history matching application
no DOI — not checkedref32
no DOI — not checkedEfficient implementation of the K-SVD algorithm using batch orthogonal matching pursuit
no DOI — not checkedRegression Shrinkage and Selection Via the Lasso
no DOI — not checkedSparse Bayesian Learning and the Relevance Vector Machine
no DOI — not checkedMachine learning for digital soil mapping: Applications, challenges and suggested solutions
no DOI — not checkedref46
no DOI — not checkedref47
no DOI — not checkedStatistical Interpolation of Spatially Varying but Sparsely Measured 3D Geo-Data Using Compressive Sensing and Variational Bayesian Inference
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