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In‐field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ldr.2887openalex-snapshot
The cost‐efficiency and reliability of two methods for soil organic C accounting
inferredcites →https://doi.org/10.1002/ldr.3497openalex-snapshot
Monitoring soil organic carbon in alpine soils using in situ vis‐NIR spectroscopy and a multilayer perceptron
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Emerging technologies for in situ measurement of soil carbon
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Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments
inferredcites →https://doi.org/10.1007/s11119-021-09834-7openalex-snapshot
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture
inferredcites →https://doi.org/10.1016/b978-0-12-386473-4.00005-1openalex-snapshot
Proximal Soil Sensing: An Effective Approach for Soil Measurements in Space and Time
inferredcites →https://doi.org/10.1016/j.aca.2018.04.004openalex-snapshot
Near infrared spectroscopy: A mature analytical technique with new perspectives – A review
inferredcites →https://doi.org/10.1016/j.catena.2022.106015openalex-snapshot
Removal of external influences from on-line vis-NIR spectra for predicting soil organic carbon using machine learning
inferredcites →https://doi.org/10.1016/j.chemolab.2008.06.003openalex-snapshot
Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.compag.2007.02.010openalex-snapshot
Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.compag.2009.09.017openalex-snapshot
Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils
inferredcites →https://doi.org/10.1016/j.compag.2009.10.006openalex-snapshot
On-the-go VisNIR: Potential and limitations for mapping soil clay and organic carbon
inferredcites →https://doi.org/10.1016/j.geoderma.2009.01.025openalex-snapshot
In situ measurements of soil colour, mineral composition and clay content by vis–NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2009.04.005openalex-snapshot
Near- versus mid-infrared diffuse reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus on-site analysis: Where are we and what needs to be done?
inferredcites →https://doi.org/10.1016/j.geoderma.2009.04.010openalex-snapshot
Simulated in situ characterization of soil organic and inorganic carbon with visible near-infrared diffuse reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2009.12.025openalex-snapshot
Using data mining to model and interpret soil diffuse reflectance spectra
inferredcites →https://doi.org/10.1016/j.geoderma.2010.04.008openalex-snapshot
Effects of soil sample pretreatments and standardised rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon
inferredcites →https://doi.org/10.1016/j.geoderma.2010.12.020openalex-snapshot
Comparison of soil reflectance spectra and calibration models obtained using multiple spectrometers
inferredcites →https://doi.org/10.1016/j.geoderma.2011.05.006openalex-snapshot
Comparison and detection of total and available soil carbon fractions using visible/near infrared diffuse reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2011.09.008openalex-snapshot
Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon
inferredcites →https://doi.org/10.1016/j.geoderma.2013.09.021openalex-snapshot
Best practices for obtaining and processing field visible and near infrared (VNIR) spectra of topsoils
inferredcites →https://doi.org/10.1016/j.geoderma.2013.09.022openalex-snapshot
Effect of the number of calibration samples on the prediction of several soil properties at the farm-scale
inferredcites →https://doi.org/10.1016/j.geoderma.2014.02.002openalex-snapshot
Sampling optimal calibration sets in soil infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2014.11.024openalex-snapshot
Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review
inferredcites →https://doi.org/10.1016/j.geoderma.2015.01.002openalex-snapshot
Reflectance measurements of soils in the laboratory: Standards and protocols
inferredcites →https://doi.org/10.1016/j.geoderma.2015.07.007openalex-snapshot
Prediction of soil organic carbon stock using visible and near infrared reflectance spectroscopy (VNIRS) in the field
inferredcites →https://doi.org/10.1016/j.geoderma.2017.06.025openalex-snapshot
A simple apparatus to measure soil spectral information in the field under stable conditions
inferredcites →https://doi.org/10.1016/j.geoderma.2017.09.014openalex-snapshot
Internal soil standard method for the Brazilian soil spectral library: Performance and proximate analysis
inferredcites →https://doi.org/10.1016/j.geoderma.2018.09.003openalex-snapshot
Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images
inferredcites →https://doi.org/10.1016/j.geoderma.2018.09.010openalex-snapshot
Soil analytical quality control by traditional and spectroscopy techniques: Constructing the future of a hybrid laboratory for low environmental impact
inferredcites →https://doi.org/10.1016/j.geoderma.2019.07.013openalex-snapshot
Preparing a soil spectral library using the Internal Soil Standard (ISS) method: Influence of extreme different humidity laboratory conditions
inferredcites →https://doi.org/10.1016/j.geoderma.2019.113900openalex-snapshot
In situ and laboratory soil spectroscopy with portable visible-to-near-infrared and mid-infrared instruments for the assessment of organic carbon in soils
inferredcites →https://doi.org/10.1016/j.geoderma.2020.114228openalex-snapshot
Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm
inferredcites →https://doi.org/10.1016/j.geoderma.2021.115614openalex-snapshot
Performance of in situ vs laboratory mid-infrared soil spectroscopy using local and regional calibration strategies
inferredcites →https://doi.org/10.1016/j.geodrs.2019.e00240openalex-snapshot
Evaluating low-cost portable near infrared sensors for rapid analysis of soils from South Eastern Australia
inferredcites →https://doi.org/10.1016/j.geodrs.2020.e00319openalex-snapshot
Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia
inferredcites →https://doi.org/10.1016/j.inpa.2022.07.001openalex-snapshot
The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder
inferredcites →https://doi.org/10.1016/j.jag.2010.06.009openalex-snapshot
Soil Organic Carbon mapping of partially vegetated agricultural fields with imaging spectroscopy
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.161973openalex-snapshot
Examining the influence of bare soil UAV imagery combined with auxiliary datasets to estimate and map soil organic carbon distribution in an erosion-prone agricultural field
inferredcites →https://doi.org/10.1016/j.soilbio.2013.10.022openalex-snapshot
Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach
inferredcites →https://doi.org/10.1016/j.soisec.2022.100043openalex-snapshot
Mid-infrared spectroscopy for accurate measurement of an extensive set of soil properties for assessing soil functions
inferredcites →https://doi.org/10.1016/j.soisec.2022.100061openalex-snapshot
A global soil spectral calibration library and estimation service
inferredcites →https://doi.org/10.1016/j.srs.2024.100118openalex-snapshot
Satellite-based soil organic carbon mapping on European soils using available datasets and support sampling
inferredcites →https://doi.org/10.1016/j.still.2017.10.004openalex-snapshot
Effects of external factors on soil reflectance measured on-the-go and assessment of potential spectral correction through orthogonalisation and standardisation procedures
inferredcites →https://doi.org/10.1016/j.still.2021.105196openalex-snapshot
Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near- and mid-infrared spectra at the field-scale
inferredcites →https://doi.org/10.1016/j.trac.2020.116166openalex-snapshot
Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review
inferredcites →https://doi.org/10.1016/s0065-2113(10)07005-7openalex-snapshot
Visible and Near Infrared Spectroscopy in Soil Science
inferredcites →https://doi.org/10.1016/s0169-7439(03)00051-0openalex-snapshot
EPO–PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits
inferredcites →https://doi.org/10.1021/ac60214a047openalex-snapshot
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
inferredcites →https://doi.org/10.1023/a:1023008322682openalex-snapshot
Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: A feasibility study
inferredcites →https://doi.org/10.1071/sr09005openalex-snapshot
Evaluating near infrared spectroscopy for field prediction of soil properties
inferredcites →https://doi.org/10.1080/00103624.2012.641799openalex-snapshot
Using Interlaboratory Proficiency Data to Guide NIR/MIR Calibrations
inferredcites →https://doi.org/10.1080/05704928.2013.811081openalex-snapshot
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
inferredcites →https://doi.org/10.1080/05704928.2022.2128365openalex-snapshot
Mathematical techniques to remove moisture effects from visible–near-infrared–shortwave-infrared soil spectra—review
inferredcites →https://doi.org/10.1111/ejss.12228openalex-snapshot
Exploring the predictability of soil texture and organic matter content with a commercial integrated soil profiling tool
inferredcites →https://doi.org/10.1111/ejss.12499openalex-snapshot
LUCAS Soil, the largest expandable soil dataset for Europe: a review
inferredcites →https://doi.org/10.1111/ejss.13202openalex-snapshot
The cost‐effectiveness of reflectance spectroscopy for estimating soil organic carbon
inferredcites →https://doi.org/10.1111/sum.12952openalex-snapshot
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
inferredcites →https://doi.org/10.1255/jnirs.1035openalex-snapshot
Comparing Predictive Abilities of Three Visible-Near Infrared Spectrophotometers for Soil Organic Carbon and Clay Determination
inferredcites →https://doi.org/10.13140/2.1.2985.3127openalex-snapshot
hyperspectral remote sensing of vegetation
inferredcites →https://doi.org/10.1366/0003702854248656openalex-snapshot
Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat
inferredcites →https://doi.org/10.1366/0003702894202201openalex-snapshot
Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra
inferredcites →https://doi.org/10.2136/sssaj2002.7220openalex-snapshot
Moisture Effects on Soil Reflectance
inferredcites →https://doi.org/10.2136/sssaj2006.0211openalex-snapshot
In Situ Characterization of Soil Clay Content with Visible Near‐Infrared Diffuse Reflectance Spectroscopy
inferredcites →https://doi.org/10.2136/sssaj2010.0174openalex-snapshot
Performance of Three Identical Spectrometers in Retrieving Soil Reflectance under Laboratory Conditions
inferredcites →https://doi.org/10.2136/sssaj2012.0401openalex-snapshot
The Effects of Moisture Conditions-From Wet to Hyper dry-On Visible Near-Infrared Spectra of Danish Reference Soils
inferredcites →https://doi.org/10.3389/fchem.2023.1214825openalex-snapshot
Portable NIR spectroscopy: the route to green analytical chemistry
inferredcites →https://doi.org/10.3390/rs10081172openalex-snapshot
Examining the Performance of PARACUDA-II Data-Mining Engine versus Selected Techniques to Model Soil Carbon from Reflectance Spectra
inferredcites →https://doi.org/10.3390/rs11182121openalex-snapshot
Soil Organic Carbon Mapping Using LUCAS Topsoil Database and Sentinel-2 Data: An Approach to Reduce Soil Moisture and Crop Residue Effects
inferredcites →https://doi.org/10.3390/rs11212500openalex-snapshot
Towards Multiscale and Multisource Remote Sensing Mineral Exploration Using RPAS: A Case Study in the Lofdal Carbonatite-Hosted REE Deposit, Namibia
inferredcites →https://doi.org/10.3390/rs11222605openalex-snapshot
Performance Comparison of Machine Learning Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data
inferredcites →https://doi.org/10.3390/rs12071116openalex-snapshot
Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping
inferredcites →https://doi.org/10.3390/rs12183082openalex-snapshot
Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements
inferredcites →https://doi.org/10.3390/rs14061459openalex-snapshot
Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740
inferredcites →https://doi.org/10.3390/rs14071639openalex-snapshot
Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter
inferredcites →https://doi.org/10.3390/rs15082053openalex-snapshot
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra
inferredcites →https://doi.org/10.3390/s19051011openalex-snapshot
Improving In-Situ Estimation of Soil Profile Properties Using a Multi-Sensor Probe
inferredcites →https://doi.org/10.3390/s23125495openalex-snapshot
In Situ VIS-NIR Spectroscopy for a Basic and Rapid Soil Investigation
inferredcites →https://doi.org/10.3390/soilsystems3010011openalex-snapshot
Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library
inferredcites →https://doi.org/10.3390/su11071889openalex-snapshot
Assessing the Performance of UAS-Compatible Multispectral and Hyperspectral Sensors for Soil Organic Carbon Prediction
inferredcites →https://doi.org/10.4236/ars.2015.41006openalex-snapshot
Prediction Modeling and Mapping of Soil Carbon Content Using Artificial Neural Network, Hyperspectral Satellite Data and Field Spectroscopy
inferredcites →https://doi.org/10.5194/soil-4-101-2018openalex-snapshot
Proximal sensing for soil carbon accounting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← uses_datahttps://doi.org/10.5281/zenodo.14184826zenodo-depositor-declared
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Application of diffuse reflectance spectroscopy (NIR) related to soil electrical conductivity
inferred← citeshttps://doi.org/10.2139/ssrn.5254655openalex-snapshot
Considering Soil Moisture and Roughness to Predict Soil Organic Carbon Content More Accurately Using Hyperspectral Data Acquired in the Field
inferred← citeshttps://doi.org/10.2139/ssrn.5441595openalex-snapshot
Pixel-wise spectral correction framework for soil total carbon mapping: integrating hyperspectral image and laboratory Vis–NIR spectra
inferred← citeshttps://doi.org/10.2139/ssrn.6189783openalex-snapshot
Data fusion of low-cost proximal sensors for the prediction of organic carbon in highly weathered soil profiles: NixPro color sensor and KT10 κ meter
inferred← citeshttps://doi.org/10.2139/ssrn.6253032openalex-snapshot
Site-independent calibration of in situ low-cost spectrometer measurements: A farm model to predict soil organic carbon and soil moisture
inferred← citeshttps://doi.org/10.2139/ssrn.7358018openalex-snapshot
Spatial–spectral transformer regression improves soil organic carbon estimation from fused VNIR–SWIR hyperspectral imaging
inferred← citeshttps://doi.org/10.3390/agriculture14060873openalex-snapshot
Estimation of Surface Soil Nutrient Content in Mountainous Citrus Orchards Based on Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/agriculture15080837openalex-snapshot
A GNSS-IR Soil Moisture Inversion Method Considering Multi-Factor Influences Under Different Vegetation Covers
inferred← citeshttps://doi.org/10.3390/agriculture16010135openalex-snapshot
Applications and Challenges of Visible-Near-Infrared and Mid-Infrared Spectroscopy in Soil Analysis: Chemometric Approaches and Data Fusion
inferred← citeshttps://doi.org/10.3390/agronomy15081826openalex-snapshot
Comparison of Soil Organic Carbon Measurement Methods
inferred← citeshttps://doi.org/10.3390/agronomy15122788openalex-snapshot
Soil Moisture Sensing Technologies: Principles, Applications, and Challenges in Agriculture
inferred← citeshttps://doi.org/10.3390/app15137457openalex-snapshot
Residual Attention Network with Atrous Spatial Pyramid Pooling for Soil Element Estimation in LUCAS Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/app16010054openalex-snapshot
MAWC-Net: A Multi-Scale Attention Wavelet Convolutional Neural Network for Soil pH Prediction
inferred← citeshttps://doi.org/10.3390/rs17091597openalex-snapshot
Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis
inferred← citeshttps://doi.org/10.3390/s24113556openalex-snapshot
Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization
inferred← citeshttps://doi.org/10.3390/s24113591openalex-snapshot
Using Spectroradiometry to Measure Organic Carbon in Carbonate-Containing Soils
inferred← citeshttps://doi.org/10.3390/s25041264openalex-snapshot
Predicting Perennial Ryegrass Cultivars and the Presence of an Epichloë Endophyte in Seeds Using Near-Infrared Spectroscopy (NIRS)
inferred← citeshttps://doi.org/10.3390/su18178713openalex-snapshot
Ranking Soil Quality Indicators Using the SMART Criteria, AHP Method and Chatbots
inferred← citeshttps://doi.org/10.37251/jocli.v2i2.2946openalex-snapshot
Comparative Spectral Sensitivity and Quantitative Accuracy of X-ray Fluorescence and Optical Emission Spectroscopy for Alloy Steel Characterization
inferred← citeshttps://doi.org/10.4081/jae.2025.1817openalex-snapshot
Review on electromagnetic soil sensing technologies: devices, statistical models, and future perspective
inferred← citeshttps://doi.org/10.56530/spectroscopy.bj8485g4openalex-snapshot
A Review of the Latest Spectroscopic Research in Agriculture Analysis
inferred← citeshttps://doi.org/10.5897/ajar2026.17181openalex-snapshot
Spatial prediction of soil properties and wheat yield variability at farm scale using soil near-infrared spectral signatures
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