USE OF PROXIMAL SENSOR FOR SOIL CLASSES SEPARATION USING PRINCIPAL COMPONENT ANALYSIS (PCA)

The spectrally active components of the soil allow the realization of integrative analyzes of soil aspects such as their classification. The objective of this study was to evaluate the separation of soil classes from spectral reflectance data using main components analysis (PCA). The study was carried out in the Aiuaba Experimental Basin located in the municipality of Aiuaba-CE. Soil samples were collected in Ustalfs, Ustults and Ustorthents profiles. The samples were submitted to spectral analysis and subsequent PCA analysis, CPs were used to separate the soil classes using the two-dimensional graphical analysis. From the analysis of spectral behavior data from the different soil classes, it was possible to separate the class of Ustorthents from the Ustalfs and Ustults.