The ability of airborne hyperspectral remote sensing methods to detect hydr
ocarbons was investigated by the Federal Institute of Geosciences and Natur
al Resources. Reference areas of defined geometry and chemical properties w
ere prepared, e.g. sandy soil, oil-contaminated soil, grass, plastic tarpau
lins. The aim of the study was to collect hyperspectral data from these are
as and simultaneously determine their spectra with the infrared intelligent
spectroradiometer GER Mark V IRIS. The data corrections and further proces
sing were based on data provided by a field spectrometer.
This study showed that airborne hyperspectral remote sensing can be used to
detect hydrocarbons efficiently. Hydrocarbon-bearing substances are charac
terized by typical absorption features in the spectra. The availability of
the high signal-to-noise-ratio HyMap hyperspectral imaging system permits t
hese features to be recognized in the pixel spectra even if they are not ve
ry pronounced. Oil-contaminated soil and other materials containing hydroca
rbons can be detected and located directly and unambiguously by image proce
ssing focused on the spectral characteristics of hydrocarbons. By this proc
edure, atmospheric correction of the HyMap data is not necessary.