Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak

Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak

Pengenalpastian spesies bakau menggunakan pendekatan tradisional telah biasa dibangunkan dan dikaji. Disebabkan kos yang tinggi dalam kerja lapangan dan kesulitan dalam menilai kawasan dataran lumpur di ekosistem bakau menggunakan cara konvensional, maka teknik penderiaan jauh digunakan secara me...

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Main Author: Beh, Boon Chun
Format: Thesis
Language:English
Published: 2016
Subjects:
QC1 Physics (General)
Online Access:http://eprints.usm.my/32046/1/BEH_BOON_CHUN_24%28NN%29.pdf
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spelling my-usm-ep.320462019-04-12T05:25:25Z Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak 2016-02 Beh, Boon Chun QC1 Physics (General) Pengenalpastian spesies bakau menggunakan pendekatan tradisional telah biasa dibangunkan dan dikaji. Disebabkan kos yang tinggi dalam kerja lapangan dan kesulitan dalam menilai kawasan dataran lumpur di ekosistem bakau menggunakan cara konvensional, maka teknik penderiaan jauh digunakan secara meluas untuk mengkaji spesies bakau sama ada di peringkat skala atau daun. Dalam kajian ini, dua kaedah penderiaan jauh telah dijalankan untuk mengenal pasti dan membezakan spesies bakau di Hutan Simpan Kuala Sepetang, Perak, Malaysia. Kaedah pertama membangunkan satu algoritma berdasarkan permukaan pantulan spesies untuk memetakan spesis bakau mengunakan data resolusi tinggi pesawat udara tanpa pemandu (UAV). Imej-imej pesawat udara diperolehi menerusi saluran tiga jalur (biru, hijau dan inframerah dekat) dari indeks perbezaan normal tumbuhan (NDVI) kamera yang dipasang pada UAV. Pantulan atas atmosfera dijana dari imej mozek pesawat udara yang merangkumi keseluruhan tapak kajian dengan keluasan tanah sebanyak 50.12 ha. Taburan bagi lima spesies bakau telah berjaya dipetakan menggunakan nilai pantulan yang dijana. The identification of mangrove species by using traditional approach has been commonly developed and studied. Due to the high cost of field work and the difficulty in assessing the mudflat areas of mangrove ecosystem with conventional methods, remote sensing techniques have been widely used to examine mangrove species at either the scale level or leaf level. In this study, two remote sensing methods have been utilized to identify and discriminate the mangrove species in the Kuala Sepetang Mangrove Forest Reserve, Perak, Malaysia. The first method is to develop an algorithm that was based on species’ surface reflectance to map the mangrove species by using high-resolution CropCam Unmanned Aerial Vehicle (UAV) data. The airborne images were acquired through the three band channels (blue, green and near-infrared) of the Normalized Difference Vegetation Index (NDVI) camera that was mounted on the CropCam UAV. The Top of Atmosphere (TOA) reflectance was retrieved from the mosaicked airborne image, which covered the entire study site with an area of 50.12 ha. The distributions of five mangrove species were successfully mapped by using the retrieved reflectance values. 2016-02 Thesis http://eprints.usm.my/32046/ http://eprints.usm.my/32046/1/BEH_BOON_CHUN_24%28NN%29.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Fizik (School of Physics)
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QC1 Physics (General)
spellingShingle QC1 Physics (General)
Beh, Boon Chun
Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak
description Pengenalpastian spesies bakau menggunakan pendekatan tradisional telah biasa dibangunkan dan dikaji. Disebabkan kos yang tinggi dalam kerja lapangan dan kesulitan dalam menilai kawasan dataran lumpur di ekosistem bakau menggunakan cara konvensional, maka teknik penderiaan jauh digunakan secara meluas untuk mengkaji spesies bakau sama ada di peringkat skala atau daun. Dalam kajian ini, dua kaedah penderiaan jauh telah dijalankan untuk mengenal pasti dan membezakan spesies bakau di Hutan Simpan Kuala Sepetang, Perak, Malaysia. Kaedah pertama membangunkan satu algoritma berdasarkan permukaan pantulan spesies untuk memetakan spesis bakau mengunakan data resolusi tinggi pesawat udara tanpa pemandu (UAV). Imej-imej pesawat udara diperolehi menerusi saluran tiga jalur (biru, hijau dan inframerah dekat) dari indeks perbezaan normal tumbuhan (NDVI) kamera yang dipasang pada UAV. Pantulan atas atmosfera dijana dari imej mozek pesawat udara yang merangkumi keseluruhan tapak kajian dengan keluasan tanah sebanyak 50.12 ha. Taburan bagi lima spesies bakau telah berjaya dipetakan menggunakan nilai pantulan yang dijana. The identification of mangrove species by using traditional approach has been commonly developed and studied. Due to the high cost of field work and the difficulty in assessing the mudflat areas of mangrove ecosystem with conventional methods, remote sensing techniques have been widely used to examine mangrove species at either the scale level or leaf level. In this study, two remote sensing methods have been utilized to identify and discriminate the mangrove species in the Kuala Sepetang Mangrove Forest Reserve, Perak, Malaysia. The first method is to develop an algorithm that was based on species’ surface reflectance to map the mangrove species by using high-resolution CropCam Unmanned Aerial Vehicle (UAV) data. The airborne images were acquired through the three band channels (blue, green and near-infrared) of the Normalized Difference Vegetation Index (NDVI) camera that was mounted on the CropCam UAV. The Top of Atmosphere (TOA) reflectance was retrieved from the mosaicked airborne image, which covered the entire study site with an area of 50.12 ha. The distributions of five mangrove species were successfully mapped by using the retrieved reflectance values.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Beh, Boon Chun
author_facet Beh, Boon Chun
author_sort Beh, Boon Chun
title Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak
title_short Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak
title_full Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak
title_fullStr Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak
title_full_unstemmed Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak
title_sort surface reflectance and discriminant analysis for mapping of mangrove species in kuala sepetang mangrove forest reserve, perak
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Fizik (School of Physics)
publishDate 2016
url http://eprints.usm.my/32046/1/BEH_BOON_CHUN_24%28NN%29.pdf
_version_ 1747820521582493696

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