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.
Abstract
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.
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