DEVELOPING SPECTRAL OF VEGETATION STRESS FORHYDROCARBON MICROSEEPAGE DETECTION USINGHYPERSPECTRALDATA

The dynamism of healthy vegetation could be affected by oil leakage such as phenomena of hydrocarbon microseepage. This effect alters aplant's physical growth and reflectance spectra for detecting potential oil reservoir in the field. Hyperspectral remote sensing technology tools are effective in monitoring vegetation health in potential onshore reservoir areas. This research aims to investigate spectral of hydrocarbon microseepage vegetation stress in respond from the medium of plant using hyperspectral data. In this research, 40 oil palm trees were stimulated with hydrocarbon microseepage and the remaining 10 trees were left as controls for three months. The data was collected in the form of reflectance spectra using the ASD FieldSpec 4 Standard-Res spectroscopy with a range of 350-2500 run and weekly growth observation of the trees. At least 90 spectral reading from each tree was being taken. The spectra acquisition was taken on the first day, day 60th and day 90th ofthe plantation