Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties

2005/05/06 by Raphael A. Viscarra Rossel, R.A. Viscarra Rossel, D.J.J. Walvoort +6 · 36 citations
Environmental Science · Chemistry · Agricultural and Biological Sciences · #Soil Geostatistics and Mapping #Spectroscopy and Chemometric Analyses #Soil Carbon and Nitrogen Dynamics

paper · doi:10.1016/j.geoderma.2005.03.007

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• Mid‐infrared spectroscopy applied to a multi‐level cave system (Montmaurin, SW France): An innovative method for assessing sediment provenance
• Physico‐Chemical Processes Influence the Effects of Residue and Nutrient Addition on Aggregate Stability of a Dispersive Sub‐Surface Soil in the Wheatbelt of Southeastern Australia
• SoilX: Calibration-Free Comprehensive Soil Sensing Through Contrastive Cross-Component Learning
• Estimating soil carbon sequestration potential with mid-IR spectroscopy and explainable machine learning
• Multivariate regional deep learning prediction of soil properties from near-infrared, mid-infrared and their combined spectra
• Evaluating visible near-infrared spectroscopy in context of a repeated sampling survey across the European Union
• The use of visible and near‐infrared spectroscopy for in‐situ characterization of agricultural soil fertility: A proposition of best practice by comparing scanning positions and spectrometers
• Identification of Uranium Minerals in Natural U-Bearing Rocks Using Infrared Reflectance Spectroscopy
• Choosing the appropriate methodology to monitor soil organic carbon (SOC) in croplands: aligning methods with evolving monitoring reporting verification (MRV) frameworks
• Comparison of laser-induced breakdown spectroscopy, colour sensing, as well as visible, near-infrared, and mid-infrared spectroscopy to predict soil properties
• Improved soil carbonate determination by FT-IR and X-ray analysis. [europepmc]
• Soil type recognition as improved by genetic algorithm-based variable selection using near infrared spectroscopy and partial least squares discriminant analysis. [europepmc]
• Evaluating the utility of mid-infrared spectral subspaces for predicting soil properties. [europepmc]
• Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils. [europepmc]
• Desert soil clay content estimation using reflectance spectroscopy preprocessed by fractional derivative. [europepmc]
• Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy. [europepmc]
• Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon. [europepmc]
• Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils. [europepmc]
• Quantitative estimation of soil salinity by means of different modeling methods and visible-near infrared (VIS-NIR) spectroscopy, Ebinur Lake Wetland, Northwest China. [europepmc]
• Predicting Spatial Variations in Soil Nutrients with Hyperspectral Remote Sensing at Regional Scale. [europepmc]
• Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging. [europepmc]
• Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy. [europepmc]
• How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal. [europepmc]
• Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles. [europepmc]
• Assessing Soil Organic Matter Content in a Coal Mining Area through Spectral Variables of Different Numbers of Dimensions. [europepmc]
• In Situ Determination of Nitrate in Water Using Fourier Transform Mid-Infrared Attenuated Total Reflectance Spectroscopy Coupled with Deconvolution Algorithm. [europepmc]
• Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches. [europepmc]
• An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil. [europepmc]
• vis-NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. [europepmc]
• Rapid Determination of Low Heavy Metal Concentrations in Grassland Soils around Mining Using Vis-NIR Spectroscopy: A Case Study of Inner Mongolia, China. [europepmc]
• Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites. [europepmc]
• Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy. [europepmc]
• FTIR Photoacoustic and ATR Spectroscopies of Soils with Aggregate Size Fractionation by Dry Sieving. [europepmc]
• A Rapid Non-Destructive Hyperspectral Imaging Data Model for the Prediction of Pungent Constituents in Dried Ginger. [europepmc]
• Estimation of Soil Organic Carbon Content in the Ebinur Lake Wetland, Xinjiang, China, Based on Multisource Remote Sensing Data and Ensemble Learning Algorithms. [europepmc]