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- W3200501358 abstract "The dynamism of healthy vegetation could be affected by oil leakage such asphenomena of hydrocarbon microseepage. This effect alters aplant's physical growthand reflectance spectra for detecting potential oil reservoir in the field. Hyperspectralremote sensing technology tools are effective in monitoring vegetation health inpotential onshore reservoir areas. This research aims to investigate spectral ofhydrocarbon microseepage vegetation stress in respond from the medium of plantusing hyperspectral data. In this research, 40 oil palm trees were stimulated withhydrocarbon microseepage and the remaining 10 trees were left as controls for threemonths. The data was collected in the form of reflectance spectra using the ASDFieldSpec 4 Standard-Res spectroscopy with a range of 350-2500 run and weeklygrowth observation of the trees. At least 90 spectral reading from each tree was beingtaken. The spectra acquisition was taken on the first day, day 60th and day 90th oftheplantation." @default.
- W3200501358 created "2021-09-27" @default.
- W3200501358 creator A5027401070 @default.
- W3200501358 date "2015-09-01" @default.
- W3200501358 modified "2023-09-24" @default.
- W3200501358 title "DEVELOPING SPECTRAL OF VEGETATION STRESS FORHYDROCARBONMICROSEEPAGE DETECTION USINGHYPERSPECTRALDATA" @default.
- W3200501358 hasPublicationYear "2015" @default.
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