Classification of mangrove forest using the vegetation index

The basic premise of this study is based on the fact that the spectral response of leaf and canopy can provide information about the biophysical properties of vegetation to assist the differentiation and consequently mapping of the forest type. Hence, the canopy spectral response and the capabiliti...

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Main Author: Mohd Suffian, Idris
Format: Thesis
Language:English
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Online Access:http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/3/QK938%20.M27%20M6%202002%20Abstract.pdf
http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/4/QK938%20.M27%20M6%202002.pdf
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spelling my-umt-ir.-6442016-03-10T09:01:16Z Classification of mangrove forest using the vegetation index Mohd Suffian, Idris The basic premise of this study is based on the fact that the spectral response of leaf and canopy can provide information about the biophysical properties of vegetation to assist the differentiation and consequently mapping of the forest type. Hence, the canopy spectral response and the capabilities of various vegetation indices for vegetation mapping in Chukai, Terengganu and Pekan, Pahang were examined. Three sites that stretched along the coastal area between Chukai and Pekan that represented a large scale of mangrove areas were studied. Spectral characteristic for dominant vegetation species and the background soil were measured "in-situ" using hand-held radiometer. Fourteen existing vegetation indices which were based on the band ratios, soil-related and atmospherically corrected indices were used for the mapping of the different classes of mangrove vegetation. References data were developed using ground sampling and interpretation of 1:5,000 aerial photographs. The unsupervised classification and accuracy assessment were done based on the number of classes for each site. Fakulti Sains dan Teknologi 2002-01 Thesis en http://hdl.handle.net/123456789/644 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/2/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/3/QK938%20.M27%20M6%202002%20Abstract.pdf af53f7a37bb0782783cebfdcd7229b43 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/4/QK938%20.M27%20M6%202002.pdf d05b3c872b5a5f7238857916be10bf55 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/5/QK938%20.M27%20M6%202002%20Abstract.pdf.txt 1a14298a8440c91bfaa144a4f98e8e6a http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/6/QK938%20.M27%20M6%202002.pdf.txt 2f8bbe4935cc00436daa00a03f08af0a QK 938 .M27 M6 2002 Mohd Suffian Idris Classification of mangrove forest using the vegetation index Mangrove forests -- Malaysia Mangrove ecology -- Malaysia
institution Universiti Malaysia Terengganu
collection UMT Repository System
language English
topic QK 938 .M27 M6 2002
Mohd Suffian Idris
Classification of mangrove forest using the vegetation index
Mangrove forests -- Malaysia
Mangrove ecology -- Malaysia
spellingShingle QK 938 .M27 M6 2002
Mohd Suffian Idris
Classification of mangrove forest using the vegetation index
Mangrove forests -- Malaysia
Mangrove ecology -- Malaysia
Mohd Suffian, Idris
Classification of mangrove forest using the vegetation index
description The basic premise of this study is based on the fact that the spectral response of leaf and canopy can provide information about the biophysical properties of vegetation to assist the differentiation and consequently mapping of the forest type. Hence, the canopy spectral response and the capabilities of various vegetation indices for vegetation mapping in Chukai, Terengganu and Pekan, Pahang were examined. Three sites that stretched along the coastal area between Chukai and Pekan that represented a large scale of mangrove areas were studied. Spectral characteristic for dominant vegetation species and the background soil were measured "in-situ" using hand-held radiometer. Fourteen existing vegetation indices which were based on the band ratios, soil-related and atmospherically corrected indices were used for the mapping of the different classes of mangrove vegetation. References data were developed using ground sampling and interpretation of 1:5,000 aerial photographs. The unsupervised classification and accuracy assessment were done based on the number of classes for each site.
format Thesis
author Mohd Suffian, Idris
author_facet Mohd Suffian, Idris
author_sort Mohd Suffian, Idris
title Classification of mangrove forest using the vegetation index
title_short Classification of mangrove forest using the vegetation index
title_full Classification of mangrove forest using the vegetation index
title_fullStr Classification of mangrove forest using the vegetation index
title_full_unstemmed Classification of mangrove forest using the vegetation index
title_sort classification of mangrove forest using the vegetation index
granting_institution Fakulti Sains dan Teknologi
url http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/3/QK938%20.M27%20M6%202002%20Abstract.pdf
http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/644/4/QK938%20.M27%20M6%202002.pdf
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