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 u...

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Main Authors: Marzukhi, Faradina, Sauti, Siti Noor Safiyyah
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perlis 2018
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Online Access:http://ir.uitm.edu.my/id/eprint/41197/1/41197.pdf
http://ir.uitm.edu.my/id/eprint/41197/
https://jurnalintelek.uitm.edu.my/index.php/main
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spelling my.uitm.ir.411972021-02-03T00:54:27Z http://ir.uitm.edu.my/id/eprint/41197/ 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 Marzukhi, Faradina Sauti, Siti Noor Safiyyah Aerial geography Remote Sensing Large farms. Plantations 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). Universiti Teknologi MARA, Perlis 2018-06 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/41197/1/41197.pdf Marzukhi, Faradina and Sauti, Siti Noor Safiyyah (2018) 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. Jurnal Intelek, 13 (1). pp. 44-57. ISSN 2682-9223 https://jurnalintelek.uitm.edu.my/index.php/main
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Aerial geography
Remote Sensing
Large farms. Plantations
spellingShingle Aerial geography
Remote Sensing
Large farms. Plantations
Marzukhi, Faradina
Sauti, Siti Noor Safiyyah
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
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 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).
format Article
author Marzukhi, Faradina
Sauti, Siti Noor Safiyyah
author_facet Marzukhi, Faradina
Sauti, Siti Noor Safiyyah
author_sort Marzukhi, Faradina
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Universiti Teknologi MARA, Perlis
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/41197/1/41197.pdf
http://ir.uitm.edu.my/id/eprint/41197/
https://jurnalintelek.uitm.edu.my/index.php/main
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score 13.19449