Hydro-acoustic remote sensing of benthic biological communities on the shallow South East Australian continental shelf

Information regarding the composition and extent of benthic habitats on the South East Australian continental shelf is limited. In this habitat mapping study, multibeam echosounder (MBES) data are integrated with precisely geo-referenced video ground-truth data to quantify benthic biotic communities...

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Bibliographic Details
Published in:	Estuarine, coastal and shelf science Vol. 84; no. 2; pp. 237 - 245
Main Authors:	Rattray, Alex, Ierodiaconou, Daniel, Laurenson, Laurie, Burq, Shoaib, Reston, Marcus
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 10-09-2009 Elsevier
Subjects:	Animal and plant ecology Animal, plant and microbial ecology backscatter bathymetry Biological and medical sciences Brackish water ecosystems decision tree classification Fundamental and applied biological sciences. Psychology General aspects. Techniques habitat mapping Marine Synecology Teledetection and vegetation maps Australia PSE, New Zealand, South I., Nelson PSE, Australia decision tree classification bathymetry backscatter habitat mapping Brackish water environment Benthic organism Biocenosis Continental shelf Bathymetry Habitat Decision tree Community Remote sensing
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Summary:	Information regarding the composition and extent of benthic habitats on the South East Australian continental shelf is limited. In this habitat mapping study, multibeam echosounder (MBES) data are integrated with precisely geo-referenced video ground-truth data to quantify benthic biotic communities at Cape Nelson, Victoria, Australia. Using an automated decision tree classification approach, 5 representative biotic groups defined from video analysis were related to hydro-acoustically derived variables in the Cape Nelson survey area. Using a combination of multibeam bathymetry, backscatter and derivative products produced highest overall accuracy (87%) and kappa statistic (0.83). This study demonstrates that decision tree classifiers are capable of integrating variable data types for mapping distributions of benthic biological assemblages, which are important in maintaining biodiversity and other system services in the marine environment.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	0272-7714 1096-0015
DOI:	10.1016/j.ecss.2009.06.023