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Spatial analysis of multibeam acoustic data for the predictiion of marine substrates and benthic communities in temperate coastal waters
Citation
Lucieer, VL and Hill, Nicole and Barrett, NS and Nichol, S, Spatial analysis of multibeam acoustic data for the predictiion of marine substrates and benthic communities in temperate coastal waters, The GEOSS Era: Towards Operational Environmental Monitoring, 10-15 April 2011, Sydney Convention and Exhibition Centre, pp. On USB. (2011) [Non Refereed Conference Paper]
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Abstract
The combined use of acoustic backscatter and
bathymetric data generated by multibeam echo-sounders
provides a powerful tool to investigate substrate
characteristics at fine spatial scales across large areas.
New methods are now required to assess the links
between the identification of physical substrate classes
from multibeam data with visually classified classes from
AUV data. In this paper, we use statistical algorithms to
describe the patterns between the physical covariates
derived from both the multibeam data, and substrate type
observed in AUV images. We then use these relationships
to predict substrate type and describe the biological
biotopes across the mapped extent of south eastern
Tasmania.
Item Details
Item Type: | Non Refereed Conference Paper |
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Keywords: | habitat mapping, marine management, multibeam, texture analysis, substrate prediction |
Research Division: | Agricultural, Veterinary and Food Sciences |
Research Group: | Fisheries sciences |
Research Field: | Fisheries sciences not elsewhere classified |
Objective Division: | Environmental Management |
Objective Group: | Terrestrial systems and management |
Objective Field: | Assessment and management of terrestrial ecosystems |
UTAS Author: | Lucieer, VL (Dr Vanessa Lucieer) |
UTAS Author: | Hill, Nicole (Dr Nicole Hill) |
UTAS Author: | Barrett, NS (Associate Professor Neville Barrett) |
ID Code: | 75672 |
Year Published: | 2011 |
Deposited By: | Sustainable Marine Research Collaboration |
Deposited On: | 2012-02-09 |
Last Modified: | 2012-02-09 |
Downloads: | 3 View Download Statistics |
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