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Predicting soil properties through visible and near-infrared (Vis–NIR) spectroscopy by a limited number of calibration samples can reduce the cost and time for physic-chemical analyses. This study was aimed to assess the influence of calibration set size on the prediction of total carbon (TC) in the soil by Vis–NIR spectroscopy. In a forested area of 33ha in southern Italy (Calabria), 216 soil samples...
Visible near infrared reflectance spectroscopy (vis–NIR) is an increasingly popular measurement method that can provide cheaper and faster predictions of soil properties, including soil organic carbon content (SOC). The spectroscopic prediction method relies significantly on the development of regressions of data in spectral databases or libraries. While the vis–NIR estimation of SOC was developed...
A new assembly for measuring surface reflectance in the field was developed and built to fill the gap between laboratory and field spectral measurements of the soil surface. This device, named SoilPRO (Soil field PRObe), can be connected to any field spectrometer fiber tip and used to measure representative and undisturbed surfaces of different soil types, low grass and artificial materials. Here,...
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