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 of the statistical method to sample a calibration set and the extension of the multivariate modeling approach with bagging and/or spectral variable selection may optimize predictions. We studied this with a set of 172 arable topsoils from a region near Trier (Germany) that covered—as often typical for
medium to large-scale applications of soil spectroscopy—a wide range of different soil situations. Yet, differences concerning target variables—organic carbon (OC), nitrogen (N), microbial biomass (C
Dateien
Zitieren
Zugriffsstatistik
Rechte
Nutzung und Vervielfältigung:
Alle Rechte vorbehalten