Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar

Oil Palm plantation is one of main plantation in Malaysia and it has a big contribution to national income. Oil palm is an important plantation in Malaysia because it is a major source of the world supply of oils and fats. Therefore, it is important to monitor the productivity of oil palm plantation...

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Main Author:	Abdul Gohhar, Muhammad Izman
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Philosophy. Relation to other topics. Methodology Environmental conditions. Environmental quality. Environmental indicators
Online Access:	http://ir.uitm.edu.my/id/eprint/28737/ http://ir.uitm.edu.my/id/eprint/28737/1/TD_MUHAMMAD%20IZMAN%20NUR%20ABDUL%20GOHHAR%20AP%20R%2019_5.pdf

id	uitm-28737
recordtype	eprints
spelling	uitm-287372020-03-09T06:23:41Z http://ir.uitm.edu.my/id/eprint/28737/ Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar Abdul Gohhar, Muhammad Izman Philosophy. Relation to other topics. Methodology Environmental conditions. Environmental quality. Environmental indicators Oil Palm plantation is one of main plantation in Malaysia and it has a big contribution to national income. Oil palm is an important plantation in Malaysia because it is a major source of the world supply of oils and fats. Therefore, it is important to monitor the productivity of oil palm plantation as it can be the source of income for our country by exporting raw and end product of oil palm to other country. Remote sensing technologies have been widely used for crop management to increase the efficiency of agricultural input, monitor crop growth and health and also estimate yields. Compared to ground data, remote sensing offers a simpler method of crop monitoring and analysis by using satellite image. The relevant of this study is to apply the use of remote sensing in the analysis of oil palm plantation. The aim of this study is to study the relationship between values of soil-adjusted vegetation index (SAVI) with oil palm production. The study area of this research is at FELDA Chuping, Perlis. The data of Landsat 8 satellite image with 15 meter resolution and field yield data of oil palm is used in this study. Processing was carried out by using ERDAS Imagine software. After that, regression analysis used to analyse the relationship between values of vegetation index with oil palm production in year 2018. 2020-03-09 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/28737/1/TD_MUHAMMAD%20IZMAN%20NUR%20ABDUL%20GOHHAR%20AP%20R%2019_5.pdf Abdul Gohhar, Muhammad Izman (2020) Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar. 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 Environmental conditions. Environmental quality. Environmental indicators
spellingShingle	Philosophy. Relation to other topics. Methodology Environmental conditions. Environmental quality. Environmental indicators Abdul Gohhar, Muhammad Izman Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar
description	Oil Palm plantation is one of main plantation in Malaysia and it has a big contribution to national income. Oil palm is an important plantation in Malaysia because it is a major source of the world supply of oils and fats. Therefore, it is important to monitor the productivity of oil palm plantation as it can be the source of income for our country by exporting raw and end product of oil palm to other country. Remote sensing technologies have been widely used for crop management to increase the efficiency of agricultural input, monitor crop growth and health and also estimate yields. Compared to ground data, remote sensing offers a simpler method of crop monitoring and analysis by using satellite image. The relevant of this study is to apply the use of remote sensing in the analysis of oil palm plantation. The aim of this study is to study the relationship between values of soil-adjusted vegetation index (SAVI) with oil palm production. The study area of this research is at FELDA Chuping, Perlis. The data of Landsat 8 satellite image with 15 meter resolution and field yield data of oil palm is used in this study. Processing was carried out by using ERDAS Imagine software. After that, regression analysis used to analyse the relationship between values of vegetation index with oil palm production in year 2018.
format	Thesis
author	Abdul Gohhar, Muhammad Izman
author_facet	Abdul Gohhar, Muhammad Izman
author_sort	Abdul Gohhar, Muhammad Izman
title	Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar
title_short	Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar
title_full	Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar
title_fullStr	Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar
title_full_unstemmed	Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar
title_sort	oil palm analysis using vegetation indices / muhammad izman nur abdul gohhar
publishDate	2020
url	http://ir.uitm.edu.my/id/eprint/28737/ http://ir.uitm.edu.my/id/eprint/28737/1/TD_MUHAMMAD%20IZMAN%20NUR%20ABDUL%20GOHHAR%20AP%20R%2019_5.pdf
first_indexed	2023-09-18T23:20:42Z
last_indexed	2023-09-18T23:20:42Z
_version_	1777419411319160832

Oil palm analysis using vegetation indices / Muhammad Izman Nur Abdul Gohhar

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