A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Geoderma

• Publication date

  2018-03-15

• Fields of study

  Mathematics, Environmental Science

• Identifiers
  DOI 10.1016/J.GEODERMA.2017.11.006
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Characterization of Soil Properties Using Reflectance Spectroscopy

  2018cited by this paper
• Digital Soil Mapping

  2018cited by this paper
• Two preprocessing techniques to reduce model covariables in soil property predictions by Vis-NIR spectroscopy

  2017cited by this paper
• Genesis and properties of wetland soils by VIS-NIR-SWIR as a technique for environmental monitoring.

  2017cited by this paper
• A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra

  2016cited by this paper
• Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features.

  2016cited by this paper
• Bayesian spatial modelling of soil properties and their uncertainty: The example of soil organic matter in Scotland using R-INLA

  2016cited by this paper
• A global spectral library to characterize the world’s soil

  2016cited by this paper
• Soil nitrogen content forecasting based on real-time NIR spectroscopy

  2016cited by this paper
• Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy

  2016cited by this paper
• Assessing uncertainty in soil organic carbon modeling across a highly heterogeneous landscape

  2015cited by this paper
• Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content

  2015cited by this paper
• Reflectance measurements of soils in the laboratory: Standards and protocols

  2015cited by this paper
• Soil pH value, organic matter and macronutrients contents prediction using optical diffuse reflectance spectroscopy

  2015cited by this paper
• Laboratory-based Vis–NIR spectroscopy and partial least square regression with spatially correlated errors for predicting spatial variation of soil organic matter content

  2015cited by this paper
• Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data

  2015cited by this paper
• A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape.

  2015cited by this paper
• Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring

  2015cited by this paper
• Bayesian model averaging employing fixed and flexible priors: The BMS package for R

  2015cited by this paper
• Modelling soil carbon fractions with visible near-infrared (VNIR) and mid-infrared (MIR) spectroscopy

  2015cited by this paper
• The dimensions of soil security

  2014cited by this paper
• Log-transformation and its implications for data analysis

  2014cited by this paper
• Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach

  2014cited by this paper
• R: A language and environment for statistical computing.

  2014cited by this paper
• Revisiting the preprocessing procedures for elemental concentration estimation based on chemcam libs on mars rover

  2014cited by this paper
• Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS)

  2014cited by this paper
• Estimating Soil Organic Carbon Using VIS/NIR Spectroscopy with SVMR and SPA Methods

  2014cited by this paper
• Using model averaging to combine soil property rasters from legacy soil maps and from point data

  2014cited by this paper
• ScottKnott: A Package for Performing the Scott-Knott Clustering Algorithm in R

  2014cited by this paper
• Improving the prediction performance of a large tropical vis‐NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques

  2014cited by this paper
• The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

  2013cited by this paper
• Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy

  2013cited by this paper
• Building a near infrared spectral library for soil organic carbon estimation in the Limpopo National Park, Mozambique

  2012cited by this paper
• A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem

  2012cited by this paper
• Visible and Near-Infrared Diffuse Reflectance Spectroscopy for Prediction of Soil Properties near a Copper Smelter

  2012cited by this paper
• Soil total carbon analysis in Hawaiian soils with visible, near-infrared and mid-infrared diffuse reflectance spectroscopy

  2012cited by this paper
• Optical sensing and chemometric analysis of soil organic carbon – a cost effective alternative to conventional laboratory methods?

  2011cited by this paper
• Soil carbon mapping using on-the-go near infrared spectroscopy, topography and aerial photographs

  2011cited by this paper
• Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

  2010cited by this paper
• Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy

  2010cited by this paper
• Using data mining to model and interpret soil diffuse reflectance spectra.

  2010cited by this paper
• Use of reflectance infrared spectroscopy for monitoring the metal content of the estuarine sediments of the Nerbioi-Ibaizabal River (Metropolitan Bilbao, Bay of Biscay, Basque Country).

  2009cited by this paper
• Predicting soil organic carbon percentage from loss-on-ignition using Bayesian Model Averaging.

  2009cited by this paper
• Bayesian model averaging and model selection: two sides of the same coin when identifying the determinants of trade union density?

  2009cited by this paper
• Multi-criteria characterization of recent digital soil mapping and modeling approaches

  2009cited by this paper
• In situ measurements of soil colour, mineral composition and clay content by vis–NIR spectroscopy

  2009cited by this paper
• Review of the most common pre-processing techniques for near-infrared spectra

  2009cited by this paper
• Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements

  2008cited by this paper
• Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra

  2008cited by this paper
• Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis

  2008cited by this paper
• Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy

  2008cited by this paper
• A comparative study between PCR and PLS in simultaneous spectrophotometric determination of diphenylamine, aniline, and phenol: Effect of wavelength selection.

  2007cited by this paper
• The pls Package: Principal Component and Partial Least Squares Regression in R

  2007cited by this paper
• Classification and Regression by randomForest

  2007cited by this paper
• Applications of Support Vector Machines in Chemistry

  2007cited by this paper
• Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties

  2006cited by this paper
• Estimating tropical pasture quality at canopy level using band depth analysis with continuum removal in the visible domain

  2005cited by this paper
• Econometric Computing with HC and HAC Covariance Matrix Estimators

  2004cited by this paper
• The Soil Management Assessment Framework

  2004cited by this paper
• kernlab - An S4 Package for Kernel Methods in R

  2004cited by this paper
• Artificial neural network analysis of laboratory and in situ spectra for the estimation of macronutrients in soils of Lop Buri (Thailand)

  2003cited by this paper
• Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures

  2003cited by this paper
• Four Assumptions of Multiple Regression That Researchers Should Always Test.

  2002cited by this paper
• An introduction to kernel-based learning algorithms

  2001cited by this paper
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction

  2001cited by this paper
• PLS-regression: a basic tool of chemometrics

  2001cited by this paper
• Near-Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties

  2001cited by this paper
• Introduction to Linear Regression Analysis

  2001cited by this paper
• Random Forests

  2001cited by this paper
• Bayesian Classification With Gaussian Processes

  1998cited by this paper
• The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400-2500 nm) during a controlled decomposition process

  1997cited by this paper
• Bayesian Model Selection in Social Research

  1995cited by this paper
• Support-Vector Networks

  1995cited by this paper
• Weighted averaging partial least squares regression (WA-PLS): an improved method for reconstructing environmental variables from species assemblages

  1993cited by this paper
• A logical calculus of the ideas immanent in nervous activity

  1990cited by this paper
• Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra

  1989cited by this paper
• A rapid and precise method for routine determination of organic carbon in soil

  1988cited by this paper
• Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat

  1985cited by this paper
• Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications

  1984cited by this paper
• The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses

  1984cited by this paper
• Characteristic variations in reflectance of surface soils

  1981cited by this paper
• Physiochemical, site, and bidirectional reflectance factor characteristics of uniformly moist soils. [Brazil, Spain and the United States of America]

  1980cited by this paper
• GEOMORPHOLOGY, MINERALOGY AND GENESIS OF FOUR SOILS ON GNEISS IN SOUTHEASTERN BRAZIL

  1980cited by this paper
• A Cluster Analysis Method for Grouping Means in the Analysis of Variance

  1974cited by this paper
• Visible and near infrared spectra of minerals and rocks. II. Carbonates

  1971cited by this paper
• A course in multivariate analysis

  1958cited by this paper
• ISPRS Journal of Photogrammetry and Remote Sensing

  year unknowncited by this paper

• Inversion of low heavy metal content in Soil-Scutellaria baicalensis systems using optimized spectral indices and LSSVM

  2026cites this paper
• Accuracies and costs of prediction and mapping soil properties using proximal sensors: A systematic review

  2026cites this paper
• A deep learning architecture for leaf water potential prediction in Populus euramericana ‘I-214’ from hyperspectral reflectance

  2026cites this paper
• Application of Vis–NIR Spectroscopy and Machine Learning for Assessing Soil Organic Carbon in the Sierra Nevada de Santa Marta, Colombia

  2026cites this paper
• Improved estimation of soil organic matter content in the Yellow River delta using spectral data optimization and environmental variables integration

  2026cites this paper
• Challenges and scale issues for predicting rare earth elements in soils using near-infrared spectroscopy

  2026cites this paper
• Prediction of available soil nitrogen using Vis–NIR and MIR spectroscopy coupled with chemometric and machine learning approaches in inceptisols of India

  2026cites this paper
• Comparative Analysis of Raw and Preprocessed Vis–NIR and MIR Spectra for Soil Property Estimation

  2026cites this paper
• Near infrared spectroscopic determination of soil organic matter based on dung beetle optimizer and support vector machine regression

  2025cites this paper
• Transferring and Spiking of VNIR Models for Soil Property Predictions in Southern India

  2025cites this paper
• Enhancing soil property predictions using spectral fusion: Comparisons between outer product analysis and vector concatenation and among modeling algorithms

  2025cites this paper
• Accurate prediction of kiwifruit soluble solids content using an optimized 1D-CNN model with near-infrared spectroscopy

  2025influential citation
• Assessment of different VisNIR and MIR spectroscopic techniques and the potential of calibration transfer between MIR laboratory and portable instruments to estimate soil properties

  2025cites this paper
• Nondestructive intelligent and portable detection of postharvest translucency and internal browning in pineapples using visible/near-infrared spectroscopy

  2025cites this paper
• Classification of ginseng year based on visible-near infrared hyperspectral images combined with image segmentation

  2025cites this paper
• Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data

  2025cites this paper
• Research on calibration transfer methods in coal quality spectral analysis across instruments and coal types.

  2025cites this paper
• Enhancing the estimation of low-spectral-sensitivity soil properties: a case study of active organic carbon using vis-NIR hyperspectral data

  2025influential citation
• Multi-target active component detection of Panax notoginseng based on ATR-FTIR combined with machine learning

  2025cites this paper
• Prediction of regional cropland soil organic carbon content and distribution using deep learning: a case study of the Northeast China Plain

  2025cites this paper
• Machine learning and soil spectra enable rapid identification of multiple heavy metals at the continental scale

  2025cites this paper
• The detection method of ammonia nitrogen concentration in water bodies based on hyperspectrum

  2025cites this paper
• High-Resolution Reconstruction of Total Organic Carbon Content in Lake Sediments Using Hyperspectral Imaging

  2025cites this paper
• Navigating the Challenges of Spectral Soil Sensing: Key Solutions for Success

  2025cites this paper
• Rapid and simultaneous quantification of four components in Radix Scutellariae by near-infrared spectroscopy combined with chemometrics

  2025cites this paper
• Nano and chemical fertilizer in conjunction with vermicompost as an effective organic fertilizer using support vector regression: uptake of nutrient elements, and enhancing oil content and fatty acids in Portulaca oleracea

  2025cites this paper
• Combining Vis-NIR-SWIR Spectroscopy and Machine Learning to Predict Soil Available Copper and Zinc in Southern Brazil Vineyards

  2025cites this paper
• A Novel Self-Attention Mechanism-Based Dynamic Ensemble Model for Soil Hyperspectral Prediction

  2025cites this paper
• Small Sample Transfer Modeling of Near‐Infrared Spectra for Similar Resin‐Based Carbon Fiber Prepregs via Wavelength Selection and Pretreatment Methods

  2025cites this paper
• A stacking ensemble modeling to map soil lead content: driven by spectral calibration and two-dimensional spectral index with GF-5 hyperspectral data

  2025cites this paper
• Classification and prediction model of ginseng year based on visible-near infrared spectroscopy and machine learning

  2025cites this paper
• Prediction accuracy of pXRF, MIR, and Vis‐NIR spectra for soil properties—A review

  2025cites this paper
• Nearest Neighbor Versus Regression Approach: Effect of Performance Measures, Calibration Set Size, and Sampling Method on Soil Organic Carbon Prediction Using VNIR Lab Spectroscopy

  2025cites this paper
• Hyperspectral inversion of soil organic matter based on improved ensemble learning method.

  2025cites this paper
• Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy

  2025cites this paper
• Authenticity identification of Pinellia ternata based on hyperspectral imaging combined with spectral-texture multimodal data fusion strategy

  2025cites this paper
• Multi-spectral evaluation of total nitrogen, phosphorus and potassium content in soil using Vis-NIR spectroscopy based on a modified support vector machine with whale optimization algorithm

  2025cites this paper
• Restoration age enhances soil organic carbon sequestration primarily through plant-derived carbon in a coastal wetland

  2025cites this paper
• Data Fusion of Visible-Near-Infrared and Mid-Infrared Spectra for Predicting Key Soil Properties across Different Soil Layers

  2025cites this paper
• Quantification techniques of soil organic carbon: an appraisal

  2025cites this paper
• Predicting nickel concentration in soil using fractional-order derivative and visible-near-infrared spectroscopy indices

  2024cites this paper
• Organic carbon estimation in a regional soil Vis-NIR database supported by unsupervised learning and chemometrics techniques

  2024cites this paper
• Remote Sensing of Depth-Induced Variations in Soil Organic Carbon Stocks Distribution Within Different Vegetated Landscapes

  2024cites this paper
• Hyperspectral Sensing for High-Throughput Chloride Detection in Grapevines

  2024cites this paper
• An integrated CBLA-Net with fractional discrete wavelet transform and frequency-based CARS to predict heavy metal elements by XRF.

  2024cites this paper
• Improved classification of soil As contamination at continental scale: resolving class imbalances using machine learning approach.

  2024cites this paper
• Mapping Sub-surface Distribution of Soil Organic Carbon Stocks in South Africa’s Arid and Semi-Arid Landscapes: Implications for Land Management and Climate Change Mitigation

  2024cites this paper
• Geographic authentication of Argentinian teas by combining one-class models and discriminant methods for modeling near infrared spectra

  2024cites this paper
• A Deep Learning Approach for Chromium Detection and Characterization from Soil Hyperspectral Data

  2024cites this paper
• Modeling Risk Assessment of Soil Heavy Metal Pollution using Partial Least Squares and Fuzzy Logic: A Case Study of a Gully Type Coal-Based Solid Waste Dumpsite.

  2024cites this paper
• Rapid detection of fertilizer information based on Raman spectroscopy and machine learning.

  2024cites this paper
• Developing Vis-NIR libraries to predict cation exchange capacity (CEC) and pH in Australian sugarcane soil

  2024cites this paper
• Synergistic retrieval of mangrove vital functional traits using field hyperspectral and satellite data

  2024cites this paper
• Feature Variable Selection Based on VIS-NIR Spectra and Soil Moisture Content Prediction Model Construction

  2024cites this paper
• A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm

  2024cites this paper
• Estimating the Soil Copper Content of Urban Land in a Megacity Using Piecewise Spectral Pretreatment

  2024cites this paper
• Predictive modeling of milk adulteration with urea content using the gray wolf optimization algorithm and long and short-term memory network model

  2024cites this paper
• Comparison of field and imaging spectroscopy to optimize soil organic carbon and nitrogen estimation in field laboratory conditions

  2024cites this paper
• Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale

  2024cites this paper
• Spectral Data-Driven Prediction of Soil Properties Using LSTM-CNN-Attention Model

  2024cites this paper
• Potential of Hyperspectral Data Combined With Optimal Band Combination Algorithm for Estimating Soil Organic Carbon Content in Lakeside Oasis

  2024cites this paper
• Estimation of Leaf Water Content of a Fruit Tree by In Situ Vis-NIR Spectroscopy Using Multiple Machine Learning Methods in Southern Xinjiang, China

  2024cites this paper
• Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery

  2024cites this paper
• A new algorithmic approach for predicting the particle size distribution of dispersed soil suspensions using an automated optical settling column

  2024cites this paper
• Spectral Data Processing for Field-Scale Soil Organic Carbon Monitoring

  2024cites this paper
• Relationships between Soil Moisture and Visible–NIR Soil Reflectance: A Review Presenting New Analyses and Data to Fill the Gaps

  2024cites this paper
• Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Algorithms and Chemometric Algorithms

  2024cites this paper
• Developing of calibration model for acetic acid, flavonoid, and capsaicin content from fresh red chilies using combination Vis-NIR spectral descriptors, machine learning and their stacking ensemble learning

  2024cites this paper
• Non-Destructive Identification of Virgin Cashmere and Chemically Modified Wool Fibers Based on Fractional Order Derivative and Improved Wavelength Extraction Algorithm Using NIR Spectroscopy and Chemometrics

  2024cites this paper
• Towards Sustainable and Dynamic Modeling Analysis in Korean Pine Nuts: An Online Learning Approach with NIRS

  2024cites this paper
• Machine-Learning-Assisted Fast Determination of the Combustion Characteristics of Municipal Solid Waste

  2024cites this paper
• In Vitro Glucose Measurement from NIR and MIR Spectroscopy: Comprehensive Benchmark of Machine Learning and Filtering Chemometrics

  2024cites this paper
• Kelulut stingless bee honey stored under different thermal conditions: Non-destructive assessment

  2024cites this paper
• Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation

  2024cites this paper
• Enhanced 3-D asynchronous correlation data preprocessing method for Raman spectroscopy of Chinese handmade paper.

  2024cites this paper
• Combining mid-infrared spectroscopy and machine learning to estimate nutrient content in plant tissues of yerba mate (Ilex paraguariensis A. St. Hil.)

  2024cites this paper
• Estimation of Soil Organic Carbon Content Using Visible and Near-Infrared Spectroscopy in the Red River Delta, Vietnam

  2024cites this paper
• Characteristics of spatial variability and hyperspectral estimation of soil organic matter in tensile fissure zone of mine area

  2024cites this paper
• Can we use a mid-infrared fine-ground soil spectral library to predict non-fine-ground spectra?

  2024cites this paper
• Spectral-Based Machine Learning Enables Rapid and Large-Scale Adsorption Capacity Prediction of Heavy Metals in Soil

  2024cites this paper
• Prediction of heavy metals in polluted mangrove soils in Brazil with the highest reported levels of mercury using near-infrared spectroscopy

  2023influential citation
• Estimate of carbon stock in the soil via diffuse reflectance spectroscopy (vis/nir) air and orbital remote sensing

  2023cites this paper
• On-the-Go Vis-NIR Spectroscopy for Field-Scale Spatial-Temporal Monitoring of Soil Organic Carbon

  2023cites this paper
• A modified radial basis function network integrating Mahalanobis distance and LASSO for soil mapping

  2023cites this paper
• New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models.

  2023cites this paper
• PROJECTION OF CLIMATE CHANGE IMPACTS ON NET PRIMARY PRODUCTIVITY OF THE LEGAL AMAZON – BRAZIL

  2023cites this paper
• Inversion of soil heavy metals in metal tailings area based on different spectral transformation and modeling methods

  2023cites this paper
• A CNN model for predicting soil properties using VIS–NIR spectral data

  2023cites this paper
• Diffuse reflectance spectroscopy (DRS) for rapid soil testing and soil quality assessment in smallholder farms

  2023cites this paper
• A Review on Soil Nitrogen Sensing Technologies: Challenges, Progress and Perspectives

  2023cites this paper
• Vis-NIR Spectroscopy for Soil Organic Carbon Assessment: Meta-Analysis

  2023cites this paper
• Predicting key soil properties from Vis-NIR spectra by applying dual-wavelength indices transformations and stacking machine learning approaches

  2023cites this paper
• Comparison of various chemometric methods on visible and near-infrared spectral analysis for wood density prediction among different tree species and geographical origins

  2023influential citation
• Within and among farm variability of coffee quality of smallholders in southwest Ethiopia

  2023cites this paper
• The Use of Infrared Spectroscopy for the Quantification of Bioactive Compounds in Food: A Review

  2023cites this paper
• Monitoring impacts of soil bund on spatial variation of teff and finger millet yield with Sentinel-2 and spectroradiometric data in Ethiopia

  2023cites this paper
• Exploring the optimal model for assessing SOC and TN in Zanthoxylum bungeanum forest on the Loess Plateau using VNIR spectroscopy

  2023cites this paper
• An interlaboratory comparison of mid-infrared spectra acquisition: Instruments and procedures matter

  2023cites this paper
• An integrated solar-induced chlorophyll fluorescence model for more accurate soil organic carbon content estimation in an Alpine agricultural area

  2023cites this paper
• Effects of different spectral processing methods on soil organic matter prediction based on VNIR-SWIR spectroscopy in karst areas, Southwest China

  2023cites this paper