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A Rapid Method to Characterize Seabed Habitats and Associated Macro-Organisms

Created 16/10/2025

Updated 16/10/2025

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This study presents a method for rapidly collecting, processing, and interrogating real-time abiotic and biotic seabed data to determine seabed habitat classifications. This is done from data collected over a large area of an acoustically derived seabed map, along multidirectional transects, using a towed small camera-sled. The seabed, within the newly designated Point Harris Marine Reserve on the northern coast of San Miguel Island, California, was acoustically imaged using sidescan sonar, then ground-truthed using a towed small camera-sled. Seabed characterizations were made from video observations, and were logged to a laptop computer (PC) in real time. To ground-truth the acoustic mosaic, and to characterize abiotic and biotic aspects of the seabed, a three-tiered characterization scheme was employed that described the substratum type, physical structure (i.e., bedform or vertical relief), and the occurrence of benthic macrofauna and flora. A crucial advantage of the method described here, is that preliminary seabed characterisations can be interrogated and mapped over the sidescan mosaic and other seabed information within hours of data collection. This ability to rapidly process seabed data is invaluable to scientists and managers, particularly in modifying concurrent or planning subsequent surveys.

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Additional Info

Field Value
Title A Rapid Method to Characterize Seabed Habitats and Associated Macro-Organisms
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/en/dataset/1c56fa23-1d4f-49ad-8155-2ac7cb4148c8
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage
Map data © OpenStreetMap contributors
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}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "A Rapid Method to Characterize Seabed Habitats and Associated Macro-Organisms". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/a-rapid-method-to-characterize-seabed-habitats-and-associated-macro-organisms