Application of remote sensing in the investigation of maturity age of palm oil trees In Pasir Puteh, Kelantan / Faradina Marzukhi and 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 6 meter resolution is us...

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Bibliographic Details
Main Authors: Marzukhi, Faradina (Author), Sauti, Siti Noor Safiyyah (Author)
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perlis, 2018-06.
Subjects:
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LEADER 01980 am a22001933u 4500
001 41197
042 |a dc 
100 1 0 |a Marzukhi, Faradina  |e author 
700 1 0 |a Sauti, Siti Noor Safiyyah  |e author 
245 0 0 |a Application of remote sensing in the investigation of maturity age of palm oil trees In Pasir Puteh, Kelantan / Faradina Marzukhi and Siti Noor Safiyyah Sauti 
260 |b Universiti Teknologi MARA, Perlis,   |c 2018-06. 
856 |z Get fulltext  |u https://ir.uitm.edu.my/id/eprint/41197/1/41197.pdf 
856 |z View Fulltext in UiTM IR  |u https://ir.uitm.edu.my/id/eprint/41197/ 
520 |a 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 6 meter resolution is used in this research study. 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 acquired from Malaysian Palm Oil Board (MPOB). The processing is carried out via Erdas Imagine and ArcGIS software. The pixel value for three different ages of oil palm trees, 1 year, 2 year and 5 year are observed to analyze the pixel value for different tree ages. Then, 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. Next, the regression model between age and palm oil growth is modeled. 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). 
546 |a en 
650 0 4 |a Aerial geography 
650 0 4 |a Remote Sensing 
650 0 4 |a Large farms. Plantations 
655 7 |a Article