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This study aimed to evaluate the ability to use Vis-NIR spectroscopy to predict CaCO3 in the soil and to determine the contribution of the spectral ranges and wavelengths to the prediction. A total of 180 topsoil samples (0-25 cm) of anthropogenic soils derived from Flysch deposits in Dalmatia (Croatia) were analyzed for CaCO3 and scanned in the laboratory with an ASD FieldSpec spectroradiometer (350-2500 nm). The partial last square regression (PLSR) with leave-one-out cross-validation method was used for calibrating the Vis-NIR spectra and CaCO3 measured in the laboratory. The CaCO3 content in investigated soils varies within a very wide range from 186.0 to 894.7 g kg and has a high an average value of 547.2 g kg and normal near symmetrical frequency distribution. Prediction parameters, the coefficient of determination (R), the ratio of performance to deviation (RPD) and the range error ratio (RER) were 0.86, 2.42 and 11.4, respectively indicating that created PLSR model was able to predict CaCO3 content in soil with moderately successful accuracy. The prediction error of the CaCO3 measured as the root mean square error of prediction (RMSEP) was 57.9 g kg. These results suggest that Vis-NIR spectroscopy in combination with PLSR is acceptable as a rapid method for quality control (screening) of the CaCO3 content in investigated soils.

ESTIMATION OF CALCIUM CARBONATE IN ANTHROPOGENIC SOILS ON FLYSCH DEPOSITS FROM DALMATIA (CROATIA) USING VIS-NIR SPECTROSCOPY