| Text | 454414 2020 Soil reflectance; Principal component analysis PCA ; Geostatistics; Digital Soil Mapping. Geostatistical analysis of soil reflectance spectra for field scale digital soil mapping. A case study. Natalia Leone , Valeria Ancona, Davide Fragnito, Domenico Vitale, Massimo Bilancia. Water Research Institute, National Research Council, Bari, Master s Graduate in Statistical, Actuarial and Financial Sciences, CMCC Foundation, Euro Mediterranean Center on Climatic Change, Viterbo, Ionian Department DJSGE University of Bari A. Moro, Taranto. Corresponding author. Knowledge of field scale soil variability is essential for sustainable soil management. Traditional techniques, based on soil analysis, are costly and timeconsuming. An alternative method would be the use of visible infrared reflectance spectroscopy coupled with multivariate analysis, specifically principal component analysis PCA and geostatistics. In this study, after brief reviews regarding reflectance spectroscopy, PCA, and geostatistics, we presented a methodological approach for digital soil mapping in a study area of Southern Italy. Reflectance spectra of 240 surface soil samples collected at geo referenced sites, were decomposed by PCA. The first three components PC1, PC2, PC3 explained most 98% of the total variance of the initial data set, therefore, they were considered for the assessment of soil spatial variability by variography and kriging geostatistics . The resulting PC1, PC2 and PC3 kriging maps were interpreted in the light of the information contents on reflectance spectra and compared with the results of a previous, conventional soil survey. The presented strategy seems to be efficient and reliable for mapping soil spatial variability. Metodi e analisi statistiche 2020 Toma E., d Ovidio F. 978 88 6629 023 0 Published version https //www.uniba.it/ateneo/editoria stampa e media/linea editoriale/fuori collana/MAS2020.pdf Capitolo Contributo in volume natalialeone LEONE NATALIA davidefragnito FRAGNITO DAVIDE valeria.ancona ANCONA VALERIA |
