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GIS and remote sensing-based spatial models for commercial fisheries assessment

JALALI, MOHAMMAD ALI 2015, GIS and remote sensing-based spatial models for commercial fisheries assessment, PhD. thesis, School of Life and Environmental Sciences, Deakin Univeristy.

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Title GIS and remote sensing-based spatial models for commercial fisheries assessment
Author JALALI, MOHAMMAD ALI
Institution Deakin Univeristy
School School of Life and Environmental Sciences
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name PhD.
Thesis advisor Ierodiaconou, DanielORCID iD for Ierodiaconou, Daniel orcid.org/0000-0002-7832-4801
Date submitted 2015-08
Keyword(s) Abalone
Fishing industry
Sustainable fisheries
Fisheries management
Geographic information systems
Summary By applying a novel set of multidisciplinary GIS, remote sensing and spatial modelling approaches, research presented in this thesis advances our knowledge of the distribution patterns, fishery and ecological status of an important commercial benthic macro-invertebrate, blacklip abalone, in south-east Australia.
Language eng
Field of Research 060205 - Marine and Estuarine Ecology (incl. Marine Ichthyology) 40%
090903 - Geospatial Information Systems 35%
090905 - Photogrammetry and Remote Sensing 25%
Socio Economic Objective 830299 - Fisheries - Wild Caught not elsewhere classified 30%; 830203 - Wild Caught Edible Molluscs 20%; 960808 - Marine Flora, Fauna and Biodiversity 50%
Description of original xv, 206 pages : tables, figures, illustrations, some coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30088792

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Mon, 14 Nov 2016, 08:31:44 EST by Deb Gray

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.