Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin

Oil palm is one of the crops that has high economic demand and potential for Malaysia export business. The use of NDVI as a platform to determine the greenness of vegetation has been widely introduced to monitor such crops. Because of the platform used is based on remotely sensed data, such relation...

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Main Author: Kamaruddin, Muhammad Azim
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/21696/1/TD_MUHAMMAD%20AZIM%20KAMARUDDIN%20AP%20R%2018_5.pdf
http://ir.uitm.edu.my/id/eprint/21696/
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spelling my.uitm.ir.216962018-09-26T02:40:01Z http://ir.uitm.edu.my/id/eprint/21696/ Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin Kamaruddin, Muhammad Azim Large farms. Plantations Palms Remote sensing Oil palm is one of the crops that has high economic demand and potential for Malaysia export business. The use of NDVI as a platform to determine the greenness of vegetation has been widely introduced to monitor such crops. Because of the platform used is based on remotely sensed data, such relationship need to be determine between NDVI and oil palm to prove the use of NDVI manage to estimate the oil palm yield. Such estimation can warn the decision makers about potential reduction in crop yields and allow timely import and export decision. Remote sensing data has the potential and capability to provide spatial information for large scale plantation. Compared to ground data, remote sensing offers a simpler way of yield estimation by using satellite image. The relevant of this research is to apply the use of remote sensing in the determination of relationship between the use of NDVI with oil palm yield. This research will be using Normalized Difference (NDVI) to produce NDVI maps and determine the relationship between oil palm yield with respect of the maps produce. The aim of this study is to determine relationship between NDVI and oil palm yield. The study area of this research is at oil palm plantation in Ladang Ayer Hitam, Negeri Sembilan. The data of Sentinel-2 satellite image with 10 meter resolution and yield data of oil palm is used in this study. Processing is carried out using ERDAS Imagine software and the map produced is by using ArcMap. This research method utilizes NDVI by classify the value obtained into three categories (healthy, non-healthy and non-vege area). Regression analysis is done in order to analyze the relationship between NDVI and oil palm yield. The relationship was used to estimate the yield and to analyze the pattern production of oil palm over the study area for year 2015, 2016 and 2017. 2018-09-26 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21696/1/TD_MUHAMMAD%20AZIM%20KAMARUDDIN%20AP%20R%2018_5.pdf Kamaruddin, Muhammad Azim (2018) Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin. Degree thesis, Universiti Teknologi Mara Perlis.
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 Large farms. Plantations
Palms
Remote sensing
spellingShingle Large farms. Plantations
Palms
Remote sensing
Kamaruddin, Muhammad Azim
Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin
description Oil palm is one of the crops that has high economic demand and potential for Malaysia export business. The use of NDVI as a platform to determine the greenness of vegetation has been widely introduced to monitor such crops. Because of the platform used is based on remotely sensed data, such relationship need to be determine between NDVI and oil palm to prove the use of NDVI manage to estimate the oil palm yield. Such estimation can warn the decision makers about potential reduction in crop yields and allow timely import and export decision. Remote sensing data has the potential and capability to provide spatial information for large scale plantation. Compared to ground data, remote sensing offers a simpler way of yield estimation by using satellite image. The relevant of this research is to apply the use of remote sensing in the determination of relationship between the use of NDVI with oil palm yield. This research will be using Normalized Difference (NDVI) to produce NDVI maps and determine the relationship between oil palm yield with respect of the maps produce. The aim of this study is to determine relationship between NDVI and oil palm yield. The study area of this research is at oil palm plantation in Ladang Ayer Hitam, Negeri Sembilan. The data of Sentinel-2 satellite image with 10 meter resolution and yield data of oil palm is used in this study. Processing is carried out using ERDAS Imagine software and the map produced is by using ArcMap. This research method utilizes NDVI by classify the value obtained into three categories (healthy, non-healthy and non-vege area). Regression analysis is done in order to analyze the relationship between NDVI and oil palm yield. The relationship was used to estimate the yield and to analyze the pattern production of oil palm over the study area for year 2015, 2016 and 2017.
format Thesis
author Kamaruddin, Muhammad Azim
author_facet Kamaruddin, Muhammad Azim
author_sort Kamaruddin, Muhammad Azim
title Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin
title_short Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin
title_full Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin
title_fullStr Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin
title_full_unstemmed Determination of the relationship between NDVI and oil palm yield / Muhammad Azim Kamaruddin
title_sort determination of the relationship between ndvi and oil palm yield / muhammad azim kamaruddin
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/21696/1/TD_MUHAMMAD%20AZIM%20KAMARUDDIN%20AP%20R%2018_5.pdf
http://ir.uitm.edu.my/id/eprint/21696/
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score 13.209306