Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf

This study was regarding the application of remote sensing for monitoring and estimating oil palm productivity. The study consist of three main objectives that is to develop a basic method to estimate and monitoring oil palm productivity using remote sensing, to classify the area of oil palm plantat...

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Main Author: Ab. Manaf, Nora Dhalina
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/20370/
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author Ab. Manaf, Nora Dhalina
author_facet Ab. Manaf, Nora Dhalina
author_sort Ab. Manaf, Nora Dhalina
building UiTM Institutional Repository
collection Online Access
description This study was regarding the application of remote sensing for monitoring and estimating oil palm productivity. The study consist of three main objectives that is to develop a basic method to estimate and monitoring oil palm productivity using remote sensing, to classify the area of oil palm plantation based on their productivity using Normalized Difference Vegetative Index (NDVT) and to assess the accuracy of remote sensing product. In this project, 3 years of SPOT 5 satellite image have been used to detect the changes of oil palm estate. So, it can be used to identify the location and productivity of oil palm. This will make easier for monitoring oil palm productivity. Finally, the maps show productivity of oil palm for 2005, 2006 and 2007 will be produced.
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institution Universiti Teknologi MARA
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publishDate 2013
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spelling uitm-203702023-01-04T08:24:49Z https://ir.uitm.edu.my/id/eprint/20370/ Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf Ab. Manaf, Nora Dhalina Remote Sensing Spermatophyta. Phanerogams This study was regarding the application of remote sensing for monitoring and estimating oil palm productivity. The study consist of three main objectives that is to develop a basic method to estimate and monitoring oil palm productivity using remote sensing, to classify the area of oil palm plantation based on their productivity using Normalized Difference Vegetative Index (NDVT) and to assess the accuracy of remote sensing product. In this project, 3 years of SPOT 5 satellite image have been used to detect the changes of oil palm estate. So, it can be used to identify the location and productivity of oil palm. This will make easier for monitoring oil palm productivity. Finally, the maps show productivity of oil palm for 2005, 2006 and 2007 will be produced. 2013 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/20370/1/20370.PDF Ab. Manaf, Nora Dhalina (2013) Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf. (2013) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
spellingShingle Remote Sensing
Spermatophyta. Phanerogams
Ab. Manaf, Nora Dhalina
Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf
title Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf
title_full Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf
title_fullStr Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf
title_full_unstemmed Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf
title_short Estimating and monitoring oil palm productivity using remote sensing / Nora Dhalina Ab. Manaf
title_sort estimating and monitoring oil palm productivity using remote sensing / nora dhalina ab. manaf
topic Remote Sensing
Spermatophyta. Phanerogams
url https://ir.uitm.edu.my/id/eprint/20370/