Coastal marine habitat mapping using multi-beam acoustics, video data and a decision tree classifier on the temperate south-east Australian continental shelf

Rattray, Alexander, Ierodiaconou, Daniel, Laurenson, Laurie, Burq, Shoaib and Reston, Marcus 2007, Coastal marine habitat mapping using multi-beam acoustics, video data and a decision tree classifier on the temperate south-east Australian continental shelf, in Coast GIS 07 : 8th International Symposium on GIS and Computer Mapping for Coastal Zone Management, Coast GIS 07, Spain, pp. 299-317.

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Title Coastal marine habitat mapping using multi-beam acoustics, video data and a decision tree classifier on the temperate south-east Australian continental shelf
Author(s) Rattray, Alexander
Ierodiaconou, Daniel
Laurenson, Laurie
Burq, Shoaib
Reston, Marcus
Conference name International Symposium on GIS and Computer Mapping for Coastal Zone Management (8th : 2007 : Santander, Spain)
Conference location Santander, Spain
Conference dates 8-10 Oct. 2007
Title of proceedings Coast GIS 07 : 8th International Symposium on GIS and Computer Mapping for Coastal Zone Management
Publication date 2007
Start page 299
End page 317
Publisher Coast GIS 07
Place of publication Spain
Keyword(s) Multibeam
Habitats
Marina
Mapping
Australia
Summary In this habitat mapping study, multi-beam acoustic data are integrated with extensive, precisely geo-referenced video validation data in a GIS environment to classify benthic substrates and biota at a 33km2 site in the near shore waters of Victoria, Australia. Using an automated decision-tree classification method, 5 representative biotic groups were identified in the Cape Nelson survey area using a combination of multi-beam bathymetry, backscatter and derivative products. Rigorous error assessment of derived, classified maps produced high overall accuracies (>85%) for all mapping products. In addition, a discrete multivariate analysis technique (kappa analysis) was used to assess classification accuracy. High-resolution (2.5m cell-size) representation of sea floor morphology and textural characteristics provided by multi-beam bathymetry and backscatter datasets, allowed the interpretation of benthic substrates of the Cape Nelson site and the communities of sessile organisms that populate them. Non-parametric multivariate statistical analysis (ANOSIM) revealed a significant difference in biotic composition between depth strata, and between substrate types. Incorporated with other descriptive measures, these results indicate that depth and substrate are important factors in the distributional ecology of the biotic communities at the Cape Nelson study site. BIOENV analysis indicates that derivatives of both multi-beam datasets (bathymetry and backscatter) are correlated with distribution and density of biotic communities. Results from this study provide new tools for research and management of the coastal zone.
ISBN 9788481024715
Language eng
Field of Research 060205 Marine and Estuarine Ecology (incl Marine Ichthyology)
Socio Economic Objective 960802 Coastal and Estuarine Flora, Fauna and Biodiversity
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30014921

Document type: Conference Paper
Collection: School of Life and Environmental Sciences
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