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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Main Author:	Sauti, Siti Noor Safiyyah
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Remote Sensing Geographic information systems Palms
Online Access:	https://ir.uitm.edu.my/id/eprint/22771/1/TD_SITI%20NOOR%20SAFIYYAH%20SAUTI%20AP%20R%2019.5.PDF
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id	my-uitm-ir.22771
record_format	uketd_dc
spelling	my-uitm-ir.227712019-01-23T07:41:48Z Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti 2019-01-14 Sauti, Siti Noor Safiyyah Remote Sensing 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 Thesis https://ir.uitm.edu.my/id/eprint/22771/ https://ir.uitm.edu.my/id/eprint/22771/1/TD_SITI%20NOOR%20SAFIYYAH%20SAUTI%20AP%20R%2019.5.PDF other en public degree Universiti Teknologi Mara Perlis Faculty of architecture, planning and surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Remote Sensing Geographic information systems Palms
spellingShingle	Remote Sensing 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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of architecture, planning and surveying
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/22771/1/TD_SITI%20NOOR%20SAFIYYAH%20SAUTI%20AP%20R%2019.5.PDF
_version_	1783733825069645824

Application of remote sensing in the investigation of maturity age of oil palm trees in Pasir puteh, Kelantan / Siti Noor Safiyyah Sauti

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