Evaluation of hyperspectral imagery use for identification of oil hydrocarbons content
Spectroscopy is a fast analytical method. Associated with multivariate analysis methods of data it becomes a powerful tool for monitoring of industrial enterprises territories. This review focuses on the possibility of identifying the contents of petroleum hydrocarbons in different types of oily waste, including contaminated soils after treatment, according to the reflection spectra data with multivariate data analysis. Five most representative types of sludge with different characteristics and origins were studied. Diffusive reflectance spectra of each sample were obtained by scanning with the use of immersion fiber probe on a spectrometer TIDAS P. Company CAMO software UNSCRAMBLER ® was used as a tool for multivariate data analysis.