Spectral Variable Selection

Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils
Mid-infrared (MIR) spectroscopy has received widespread interest as a method to complement traditional soil analysis. Recently …
Cite DOI
Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms
We explored the potentials of both non-imaging laboratory and airborne imaging spectroscopy to assess arable soil quality indicators. …
Cite DOI
The Use of Airborne Hyperspectral Data for Tree Species Classification in a Species-Rich Central European Forest Area
The success of remote sensing approaches to assess tree species diversity in a heterogeneously mixed forest stand depends on the …
Cite DOI
Quantification of Soil Variables in a Heterogeneous Soil Region With VIS--NIR--SWIR Data Using Different Statistical Sampling and Modeling Strategies
Estimation accuracies obtained for soil properties from spectroradiometer data markedly depend on the individual sample set. The choice …
Cite DOI
Using Variable Selection and Wavelets to Exploit the Full Potential of Visible--Near Infrared Spectra for Predicting Soil Properties
In soil spectroscopy a series of strategies exists to optimise multivariate calibrations. We explore this issue with a set of topsoil …
Cite DOI
Use of A Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data
In soil proximal sensing with visible and near-infrared spectroscopy, the currently available hyperspectral snapshot camera technique …
Cite DOI
Snapshot Hyperspectral Imaging for Soil Diagnostics -- Results of a Case Study in the Spectral Laboratory
Field reflectance spectroscopy has been widely used in proximal soil sensing. Results of spectroscopic approaches depend, inter alia, …
Cite DOI
Determination of Soil Properties with Visible to Near- and Mid-Infrared Spectroscopy: Effects of Spectral Variable Selection
Spectral variable selection is an important step in spectroscopic data analysis, as it tends to parsimonious data representation and …
Cite DOI