Estimating Atterberg limits of soils from reflectance spectroscopy and pedotransfer functions
نویسندگان
چکیده
Atterberg limits are broadly used for engineering and geology purposes as well in agricultural environmental applications. Laboratory methods their determination are, however, laborious, destructive tool dependent. The aim of this study was to test the feasibility using visible near-infrared spectroscopy (vis–NIRS) a fast accurate alternative conventional measurements (LL PL) PI 229 geographically diverse soil samples originating from 24 countries. Three types calibration techniques including Partial Least Squares (PLS) regression, Artificial Neural Networks (ANN) Support Vector Machines (SVM) were applied spectral data. performance best vis–NIRS models validated 45 independent compared with two existing one newly developed pedotransfer functions (PTF). application SVM yielded marginally better predictive ability than PLS ANN all modelled properties. estimated LL, PL, root mean squared error (RMSE) 7%, 5% respectively. PTF gave slightly estimations ones, RMSE values 8%, 6%, respectively PI. Furthermore, terms sample swelling class, model correctly classified 31 samples, 34 PTF. results indicate great potential reliable estimates large geographical mineralogical diversity.
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ژورنال
عنوان ژورنال: Geoderma
سال: 2021
ISSN: ['0016-7061', '1872-6259']
DOI: https://doi.org/10.1016/j.geoderma.2021.115300