Journal Article10.1016/J.GEODERMA.2011.08.001
Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy
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TL;DR: In this article, the contents of thermolabile organic carbon (C 375°C ), the inert organic C fraction (C inert ) and the sum of both (total soil organic carbon, OC tot ) were estimated with three different methods: partial least squares regression (PLSR), a combination of PLSR with a genetic algorithm (GA-PLSR) for spectral feature selection, and support vector machine regression (SVMR) with nonlinear fitting capacities.
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About: This article is published in Geoderma. The article was published on 30 Oct 2011. The article focuses on the topics: Coefficient of determination & Partial least squares regression.
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Citations
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
José M. Soriano-Disla,Les J. Janik,Raphael A. Viscarra Rossel,Lynne M. Macdonald,Mike J. McLaughlin +4 more
TL;DR: In this article, the applicability of visible (Vis), near-infrared (NIR), and mid infrared (MIR) reflectance spectroscopy for the prediction of soil properties is discussed.
721
Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging
TL;DR: In this paper, the authors compared the capabilities of Sentinel-2 for monitoring and mapping of soil organic carbon (SOC) and soil texture (clay, silt and sand content) with those obtained from airborne hyperspectral (CASI/SASI sensors) and lab ASD FieldSpec spectroradiometer measurements at four agricultural sites in the Czech Republic.
345
Visible and near-infrared reflectance spectroscopy-an alternative for monitoring soil contamination by heavy metals.
TL;DR: The state of the art and methods for the estimation of heavy metal concentrations by the use of visible and near-infrared reflectance spectroscopy are reviewed and the challenges facing the application of hyperspectral images in mapping soil contamination over large areas are discussed.
339
Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy
TL;DR: In this article, the performance of three regression techniques, namely, partial least squares regression (PLSR), support vector regression (SVR), and multivariate adaptive regression splines (MARS), were compared to identify the best method to assess organic matter (OM) and clay content in the salt-affected soils.
Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection
TL;DR: In this paper, the authors used VIS-NIR diffuse reflectance and DRIFT (diffuse reflectance infrared Fourier transform in the mid-infrared range, MIR) spectroscopy to determine a series of chemical and biological soil properties.
268
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