Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti
The determination of oil palm age is essential for the plantation industry as it influences the growth and yield production of the plantation. The aim of this study is to identify the maturity age of oil palm trees using remote sensing technique. Satellite image, SPOT 7 with resolution of 6 meter...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://ir.uitm.edu.my/id/eprint/22771/ http://ir.uitm.edu.my/id/eprint/22771/1/TD_SITI%20NOOR%20SAFIYYAH%20SAUTI%20AP%20R%2019.5.PDF |
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uitm-22771 |
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eprints |
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uitm-227712019-01-23T07:41:48Z http://ir.uitm.edu.my/id/eprint/22771/ Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti Sauti, Siti Noor Safiyyah Philosophy. Relation to other topics. Methodology Geographic information systems Palms The determination of oil palm age is essential for the plantation industry as it influences the growth and yield production of the plantation. The aim of this study is to identify the maturity age of oil palm trees using remote sensing technique. Satellite image, SPOT 7 with resolution of 6 meter is used in the determination of oil palm age. Ground data is collected to know the height, age and production of the oil PALM plantation. Satellite image data is obtained from Malaysian Remote sensing Agency (MRSA) while the ground data is gotten from Malaysian Palm Oil Board (MPOB). The study is conducted to propose a new method of managing and identifying the age of plantation with the use of remote sensing. Processing is carried out via Erdas Imagine and ArcGIS software. The digital number for three different ages of oil palm trees, 1, 2 and 5 are observed to detect the digital number of the different ages. The spectral reflectance of the trees are observed for each of the age. Vegetation indices of NDVI and SAVI are carried out to observe the health of the plantation. Regression model between age and palm oil growth is modelled. The regression shows the relationship of the age and growth. The final result is the map showing the healthy level of oil palm trees using Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI). 2019-01-14 Thesis NonPeerReviewed other en http://ir.uitm.edu.my/id/eprint/22771/1/TD_SITI%20NOOR%20SAFIYYAH%20SAUTI%20AP%20R%2019.5.PDF Sauti, Siti Noor Safiyyah (2019) Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti. Degree thesis, Universiti Teknologi Mara Perlis. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Philosophy. Relation to other topics. Methodology Geographic information systems Palms |
| spellingShingle |
Philosophy. Relation to other topics. Methodology Geographic information systems Palms Sauti, Siti Noor Safiyyah Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti |
| description |
The determination of oil palm age is essential for the plantation industry as it
influences the growth and yield production of the plantation. The aim of this study is
to identify the maturity age of oil palm trees using remote sensing technique. Satellite
image, SPOT 7 with resolution of 6 meter is used in the determination of oil palm age.
Ground data is collected to know the height, age and production of the oil PALM
plantation. Satellite image data is obtained from Malaysian Remote sensing Agency
(MRSA) while the ground data is gotten from Malaysian Palm Oil Board (MPOB).
The study is conducted to propose a new method of managing and identifying the age
of plantation with the use of remote sensing. Processing is carried out via Erdas
Imagine and ArcGIS software. The digital number for three different ages of oil palm
trees, 1, 2 and 5 are observed to detect the digital number of the different ages. The
spectral reflectance of the trees are observed for each of the age. Vegetation indices of
NDVI and SAVI are carried out to observe the health of the plantation. Regression
model between age and palm oil growth is modelled. The regression shows the
relationship of the age and growth. The final result is the map showing the healthy
level of oil palm trees using Normalized Difference Vegetation Index (NDVI) and
Soil Adjusted Vegetation Index (SAVI). |
| format |
Thesis |
| author |
Sauti, Siti Noor Safiyyah |
| author_facet |
Sauti, Siti Noor Safiyyah |
| author_sort |
Sauti, Siti Noor Safiyyah |
| title |
Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti |
| title_short |
Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti |
| title_full |
Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti |
| title_fullStr |
Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti |
| title_full_unstemmed |
Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti |
| title_sort |
application of remote sensing in the investigation of maturity age of oil palm trees in pasir puteh, kelantan / siti noor safiyyah sauti |
| publishDate |
2019 |
| url |
http://ir.uitm.edu.my/id/eprint/22771/ http://ir.uitm.edu.my/id/eprint/22771/1/TD_SITI%20NOOR%20SAFIYYAH%20SAUTI%20AP%20R%2019.5.PDF |
| first_indexed |
2023-09-18T23:09:22Z |
| last_indexed |
2023-09-18T23:09:22Z |
| _version_ |
1777418698823303168 |