JSON format icon JSON RDF format icon RDF ISO19115-3 XML

RV Investigator Voyage IN2022_V05 EM710 MKII Multibeam Echosounder Data

Created 12/10/2024

Updated 12/10/2024

JSON format icon JSON RDF format icon RDF ISO19115-3 XML

This record describes multibeam echosounder data collected on RV Investigator voyage IN2022_V05 "The Tsunamigenic Submarine Landslides and Deep-Marine Canyons of Australia’s Tasman Sea Margin: Causes and Consequences" which departed Hobart on 28th Mar 2022 and arrived at Brisbane on 3rd Jul 2022.

The Kongsberg EM710 MKII multibeam echosounder was used to acquire seafloor bathymetry and backscatter information and watercolumn backscatter along the East coast of Australia.

The EM710 MKII provides a 0.5° by 1° transmit and receive angular resolution respectively. The echosounder's nominal frequency range is from 40 to 100 kHz.

Data are stored in .all raw format for bathymetry and backscatter and .wcd format for watercolumn backscatter at CSIRO. There are 846 files totalling 524 GB of raw data in this dataset.

Sound velocity profiles were applied to this data during data acquisition. Bathymetry data contained in *.all format are corrected for motion and position.

EGM2008 height reduction was applied to the processed data. Processed data has had outliers removed. Processed line data are available in *.gsf and ascii format.

Additional information regarding this dataset, including further information on processing streams, is contained in the GSM data acquisition and processing report. Additional data products may be available on request.

Files and APIs

Additional Info

Field Value
Title RV Investigator Voyage IN2022_V05 EM710 MKII Multibeam Echosounder Data
Language eng
Licence Not Specified
Landing Page https://devweb.dga.links.com.au/data/dataset/dfb66de5-2e45-49dd-8f21-71924bc64a23
Contact Point
Atlantic Oceanographic and Meteorological Laboratory (AOML)
NCMIGeophysicalSurveyMapping@csiro.au
Reference Period 21/11/2022
Geospatial Coverage
Map data © OpenStreetMap contributors
Data Portal Data.gov.au