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Imaging Spectrometry on Mangrove Species Identification and Mapping in Malaysia


Citation

Jusoff, Kamaruzaman and Ibrahim, Kasawani (2007) Imaging Spectrometry on Mangrove Species Identification and Mapping in Malaysia. WSEAS Transactions on Biology and Biomedicine, 4 (8). pp. 118-126. ISSN 1109-9518

Abstract

This study was conducted in Tok Bali, Kelantan and Setiu, Terengganu, Malaysia with the objectives to determine the spectral properties and to identify the significant wavelength in discriminating five mangrove species at different locations. The five mangrove species selected were Rhizophora apiculata, Brugiuera cylindrica, Avicennia alba), Heritiera littoralis) and Hibiscus tiliaceus.. In the Near Infra Red (NIR) region, the mean spectral reflectance of five mangrove species at Tok Bali showed that the highest reflectance was recorded by R. apiculata with 84% and the lowest was recorded by A. alba with 69% spectral reflectance, respectively. Meanwhile at Setiu, the highest reflectance was represented by H. littoralis with 81% and the lowest was B. cylindrica with 73%. Spectral reflectance of five selected mangrove species were statistically tested using canonical stepwise discriminant analysis of SPSS program. Fifteen wavelengths were produced in discriminating among five selected mangrove species at both locations. Student t-test showed that there were no significant differences between spectral reflectance of mangrove species at Tok Bali and Setiu (P=0.345, P=0.778, P=0.753 and P= 0.513 greater than 0.05). These spectral signatures were also influenced by several factors such as cloud cover changes, atmospheric condition, leaf internal structure and chlorophyll content. This study therefore implies that individual mangrove species have a unique spectral reflectance and can be easily identified and mapped with a narrow contiguous wavelength bands in the NIR region.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Forestry
Keywords: Mangrove, Spectral, Reflectance, Spectroradiometer, Wavelength, Stepwise analysis, Hyperspectral
Depositing User: Norhazura Hamzah
Date Deposited: 18 Aug 2010 04:52
Last Modified: 20 Oct 2015 03:06
URI: http://psasir.upm.edu.my/id/eprint/7723
Statistic Details: View Download Statistic

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