Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil Samples by VIS–NIR Spectroscopy

Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment

(2018) Qinghu Jiang et al.   CATENA

Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy

(2018) Shengxiang Xu et al.   GEODERMA

Internal soil standard method for the Brazilian soil spectral library: Performance and proximate analysis

(2018) Danilo Jefferson Romero et al.   GEODERMA

Evaluating the detection limit of organic matter using point and imaging spectroscopy

(2018) Yaron Ogen et al.   GEODERMA

Soil mapping via diffuse reflectance spectroscopy based on variable indicators: An ordered predictor selection approach

(2018) Anukool Raj et al.   GEODERMA

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

(2018) Andre Carnieletto Dotto et al.   GEODERMA

Proximal spectral sensing in pedological assessments: vis–NIR spectra for soil classification based on weathering and pedogenesis

(2018) Fabrício S. Terra et al.   GEODERMA

Effects of external factors on soil reflectance measured on-the-go and assessment of potential spectral correction through orthogonalisation and standardisation procedures

(2018) M.H.D. Franceschini et al.   SOIL & TILLAGE RESEARCH

In-situ prediction of soil organic carbon by vis-NIR spectroscopy: an efficient use of limited field data

(2017) A. Kühnel et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

rs-local data-mines information from spectral libraries to improve local calibrations

(2017) C. R. Lobsey et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Penetrometer-mounted VisNIR spectroscopy: Application of EPO-PLS to in situ VisNIR spectra

(2017) Jason P. Ackerson et al.   GEODERMA

Chemometric soil analysis on the determination of specific bands for the detection of magnesium and potassium by spectroscopy

(2017) José A.M. Demattê et al.   GEODERMA

Effect of calibration set size on prediction at local scale of soil carbon by Vis-NIR spectroscopy

(2017) Federica Lucà et al.   GEODERMA

Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon

(2017) P. Roudier et al.   GEODERMA

Desert soil clay content estimation using reflectance spectroscopy preprocessed by fractional derivative

(2017) Jingzhe Wang et al.   PLoS One

Prediction of Soil Organic Matter by VIS–NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture

(2017) Yongsheng Hong et al.   Remote Sensing

Linear Multi-Task Learning for Predicting Soil Properties Using Field Spectroscopy

(2017) Haijun Qi et al.   Remote Sensing

Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms

(2017) Michael Vohland et al.   Remote Sensing

Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra

(2017) Lanfa Liu et al.   Remote Sensing

Prediction of Topsoil Organic Carbon Using Airborne and Satellite Hyperspectral Imagery

(2017) Juanjo Peón et al.   Remote Sensing

An Efficient Elastic Net with Regression Coefficients Method for Variable Selection of Spectrum Data

(2017) Wenya Liu et al.   PLoS One

Moisture insensitive prediction of soil properties from VNIR reflectance spectra based on external parameter orthogonalization

(2016) Nuwan K. Wijewardane et al.   GEODERMA

Quantification of Soil Variables in a Heterogeneous Soil Region With VIS–NIR–SWIR Data Using Different Statistical Sampling and Modeling Strategies

(2016) Michael Vohland et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Using Variable Selection and Wavelets to Exploit the Full Potential of Visible–Near Infrared Spectra for Predicting Soil Properties

(2016) Michael Vohland et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

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

(2016) Said Nawar et al.   SOIL & TILLAGE RESEARCH

Quantitative Retrieval of Organic Soil Properties from Visible Near-Infrared Shortwave Infrared (Vis-NIR-SWIR) Spectroscopy Using Fractal-Based Feature Extraction

(2016) Lanfa Liu et al.   Remote Sensing

Quantitative Estimating Salt Content of Saline Soil Using Laboratory Hyperspectral Data Treated by Fractional Derivative

(2016) Dong Zhang et al.   Journal of Spectroscopy

Improvement of NIR model by fractional order Savitzky–Golay derivation (FOSGD) coupled with wavelength selection

(2015) Peijin Tong et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

In Situ Measurements of Organic Carbon in Soil Profiles Using vis-NIR Spectroscopy on the Qinghai–Tibet Plateau

(2015) Shuo Li et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations

(2015) W. Ji et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Development of hyperspectral model for rapid monitoring of soil organic carbon under precision farming in the Indo-Gangetic Plains of Punjab, India

(2015) Rajeev Srivastava et al.   Journal of the Indian Society of Remote Sensing

Haar Wavelet Based Implementation Method of the Non–integer Order Differentiation and its Application to Signal Enhancement

(2015) Yuanlu Li et al.   Measurement Science Review

A fractional calculus on arbitrary time scales: Fractional differentiation and fractional integration

(2015) Nadia Benkhettou et al.   SIGNAL PROCESSING

Soil Organic Carbon Content Estimation with Laboratory-Based Visible–Near-Infrared Reflectance Spectroscopy: Feature Selection

(2014) Tiezhu Shi et al.   APPLIED SPECTROSCOPY

Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection

(2014) M. Vohland et al.   GEODERMA

Quantitative Model Based on Field-Derived Spectral Characteristics to Estimate Soil Salinity in Minqin County, China

(2014) Guojin Pang et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Transferability of a Visible and Near-Infrared Model for Soil Organic Matter Estimation in Riparian Landscapes

(2014) Yaolin Liu et al.   Remote Sensing

Prediction of low heavy metal concentrations in agricultural soils using visible and near-infrared reflectance spectroscopy

(2013) Junjie Wang et al.   GEODERMA

Genetic algorithms in chemometrics

(2012) Ali Niazi et al.   JOURNAL OF CHEMOMETRICS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques

(2011) M. Vohland et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa

(2011) Marco Nocita et al.   GEODERMA

Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon

(2011) Budiman Minasny et al.   GEODERMA

Using data mining to model and interpret soil diffuse reflectance spectra

(2010) R.A. Viscarra Rossel et al.   GEODERMA

Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration

(2009) Hongdong Li et al.   ANALYTICA CHIMICA ACTA

Review of the most common pre-processing techniques for near-infrared spectra

(2009) Åsmund Rinnan et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

(2008) Roberto Kawakami Harrop Galvão et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS