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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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://eprints.usm.my/32046/ http://eprints.usm.my/32046/1/BEH_BOON_CHUN_24%28NN%29.pdf |
| _version_ | 1848876716101992448 |
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| author | Beh, Boon Chun |
| author_facet | Beh, Boon Chun |
| author_sort | Beh, Boon Chun |
| building | USM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T17:03:58Z |
| format | Thesis |
| id | usm-32046 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:03:58Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-320462019-04-12T05:25:25Z http://eprints.usm.my/32046/ Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak 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 NonPeerReviewed application/pdf en http://eprints.usm.my/32046/1/BEH_BOON_CHUN_24%28NN%29.pdf Beh, Boon Chun (2016) Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QC1 Physics (General) Beh, Boon Chun Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak |
| title | 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_short | 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 |
| topic | QC1 Physics (General) |
| url | http://eprints.usm.my/32046/ http://eprints.usm.my/32046/1/BEH_BOON_CHUN_24%28NN%29.pdf |