Echo-sounder imaging for fish stock size estimation

This study emphasizes on the characterization of echo-sounder backscatters for fisheries application at micro level by remote sensing techniques. A method for acoustic-based fish stock size estimation by vertical echo-sounder of fish schooling in the mid-water area of East Coast of Peninsular Mala...

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Main Author: Mohd Fazrul Hisam Abd Aziz
Format: Thesis
Language:English
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Online Access:http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/1/SH%20307%20.M4%20M6%202011%20Abstract.pdf
http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/2/SH%20307%20.M4%20M6%202011%20FullText.pdf
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id my-umt-ir.-1661
record_format uketd_dc
spelling my-umt-ir.-16612012-07-24T07:08:01Z Echo-sounder imaging for fish stock size estimation Mohd Fazrul Hisam Abd Aziz This study emphasizes on the characterization of echo-sounder backscatters for fisheries application at micro level by remote sensing techniques. A method for acoustic-based fish stock size estimation by vertical echo-sounder of fish schooling in the mid-water area of East Coast of Peninsular Malaysia (ECPM) was carried out. The specific objectives of this study are: (a) to estimate stock size of pelagic species based on backscatters acquired by echo sounder imaging; (b) to map the density of three pelagic fish species, i.e. Round Scad, Torpedo Scad and Ox-eye Scad; and (c) to analyse the relationship of vertical distribution of multi-species pelagic fish with surrounding biophysical parameters (dissolved oxygen, temperature and salinity). Universiti Teknologi Malaysia 2011-07 Thesis en http://hdl.handle.net/123456789/1661 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/1/SH%20307%20.M4%20M6%202011%20Abstract.pdf 0c6a0c70d7a8082f9b23184b47cb0c49 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/2/SH%20307%20.M4%20M6%202011%20FullText.pdf 5cbee266564f231cd4c5886a000dec8d http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 SH 307 .M4 M6 2011 Mohd Fazrul Hisam Abd Aziz Tesis Universiti Teknologi Malaysia 2011 Fisheries -- Malaysia
institution Universiti Malaysia Terengganu
collection UMT Repository System
language English
topic SH 307 .M4 M6 2011
Mohd Fazrul Hisam Abd Aziz
Tesis Universiti Teknologi Malaysia 2011
Fisheries -- Malaysia
spellingShingle SH 307 .M4 M6 2011
Mohd Fazrul Hisam Abd Aziz
Tesis Universiti Teknologi Malaysia 2011
Fisheries -- Malaysia
Mohd Fazrul Hisam Abd Aziz
Echo-sounder imaging for fish stock size estimation
description This study emphasizes on the characterization of echo-sounder backscatters for fisheries application at micro level by remote sensing techniques. A method for acoustic-based fish stock size estimation by vertical echo-sounder of fish schooling in the mid-water area of East Coast of Peninsular Malaysia (ECPM) was carried out. The specific objectives of this study are: (a) to estimate stock size of pelagic species based on backscatters acquired by echo sounder imaging; (b) to map the density of three pelagic fish species, i.e. Round Scad, Torpedo Scad and Ox-eye Scad; and (c) to analyse the relationship of vertical distribution of multi-species pelagic fish with surrounding biophysical parameters (dissolved oxygen, temperature and salinity).
format Thesis
author Mohd Fazrul Hisam Abd Aziz
author_facet Mohd Fazrul Hisam Abd Aziz
author_sort Mohd Fazrul Hisam Abd Aziz
title Echo-sounder imaging for fish stock size estimation
title_short Echo-sounder imaging for fish stock size estimation
title_full Echo-sounder imaging for fish stock size estimation
title_fullStr Echo-sounder imaging for fish stock size estimation
title_full_unstemmed Echo-sounder imaging for fish stock size estimation
title_sort echo-sounder imaging for fish stock size estimation
granting_institution Universiti Teknologi Malaysia
url http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/1/SH%20307%20.M4%20M6%202011%20Abstract.pdf
http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1661/2/SH%20307%20.M4%20M6%202011%20FullText.pdf
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