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Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress

The dynamism of health vegetation could be affected by oil leakage such phenomena of hydrocarbon microseepage from. This effect can alter a plant's physical growth and reflectance spectra for detecting potential oil reservoir in the field. Hyperspectral remote sensing technology tool has an eff...

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Main Authors: Jamaludin, M.I., Matori, A.N., Myint, K.C.
Format: Conference or Workshop Item
Published: IEEE Computer Society 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962578785&doi=10.1109%2fIconSpace.2015.7283791&partnerID=40&md5=cd5607e447c9037ccad0035d5d302d32
http://eprints.utp.edu.my/26206/
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spelling my.utp.eprints.262062021-08-30T08:54:15Z Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress Jamaludin, M.I. Matori, A.N. Myint, K.C. The dynamism of health vegetation could be affected by oil leakage such phenomena of hydrocarbon microseepage from. This effect can alter a plant's physical growth and reflectance spectra for detecting potential oil reservoir in the field. Hyperspectral remote sensing technology tool has an effective and monitor vegetation health in potential onshore reservoir areas. This paper investigates the potential for using NIR analysis to study the impacts of hydrocarbon seepage on the oil palm tree. In this application, 40 trees were stimulated with hydrocarbon microseepage and remaining 10 trees were left as control. The reflectance spectral data were collected by using ASD FieldSpec 4 Standard-Res spectroradiometer with a range of 350-2500 nm. Therefore, the observations of samples were taken at least 90 spectral from each tree. All the spectra was preprocessed and averaged until becoming 18 spectra for each of the samples. The spectra acquisition was taken on the first day, day 60th and day 90th of plantation. However, the comparative physical appearance of the tree and reflectance spectra between the three data acquisition was analysed in red-edge, visible, and 1st derivative to determining the effects of hydrocarbon microseepage. The result indicated that 30 oil palm trees with more than 40 crude oil were dying. The trees with 10 hydrocarbon microseepage were experienced mild stressed based from the spectral trends at day 60 and day 90 reflectance spectral. While 1st derivative shows that the red-edge positions was shifted to blue spectral which is indicating vegetation stress. © 2015 IEEE. IEEE Computer Society 2015 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962578785&doi=10.1109%2fIconSpace.2015.7283791&partnerID=40&md5=cd5607e447c9037ccad0035d5d302d32 Jamaludin, M.I. and Matori, A.N. and Myint, K.C. (2015) Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress. In: UNSPECIFIED. http://eprints.utp.edu.my/26206/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The dynamism of health vegetation could be affected by oil leakage such phenomena of hydrocarbon microseepage from. This effect can alter a plant's physical growth and reflectance spectra for detecting potential oil reservoir in the field. Hyperspectral remote sensing technology tool has an effective and monitor vegetation health in potential onshore reservoir areas. This paper investigates the potential for using NIR analysis to study the impacts of hydrocarbon seepage on the oil palm tree. In this application, 40 trees were stimulated with hydrocarbon microseepage and remaining 10 trees were left as control. The reflectance spectral data were collected by using ASD FieldSpec 4 Standard-Res spectroradiometer with a range of 350-2500 nm. Therefore, the observations of samples were taken at least 90 spectral from each tree. All the spectra was preprocessed and averaged until becoming 18 spectra for each of the samples. The spectra acquisition was taken on the first day, day 60th and day 90th of plantation. However, the comparative physical appearance of the tree and reflectance spectra between the three data acquisition was analysed in red-edge, visible, and 1st derivative to determining the effects of hydrocarbon microseepage. The result indicated that 30 oil palm trees with more than 40 crude oil were dying. The trees with 10 hydrocarbon microseepage were experienced mild stressed based from the spectral trends at day 60 and day 90 reflectance spectral. While 1st derivative shows that the red-edge positions was shifted to blue spectral which is indicating vegetation stress. © 2015 IEEE.
format Conference or Workshop Item
author Jamaludin, M.I.
Matori, A.N.
Myint, K.C.
spellingShingle Jamaludin, M.I.
Matori, A.N.
Myint, K.C.
Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress
author_facet Jamaludin, M.I.
Matori, A.N.
Myint, K.C.
author_sort Jamaludin, M.I.
title Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress
title_short Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress
title_full Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress
title_fullStr Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress
title_full_unstemmed Application of NIR to determine effects of hydrocarbon microseepage in oil palm vegetation stress
title_sort application of nir to determine effects of hydrocarbon microseepage in oil palm vegetation stress
publisher IEEE Computer Society
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962578785&doi=10.1109%2fIconSpace.2015.7283791&partnerID=40&md5=cd5607e447c9037ccad0035d5d302d32
http://eprints.utp.edu.my/26206/
_version_ 1738656838757384192
score 13.211869

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