IN2021_E01 Storm Bay Bathymetry 5m - 210m Multi-resolution AusSeabed products

Brief description

This record describes multibeam echosounder data collected on RV Investigator voyage IN2021_E01 titled "Equipment Calibrations and Trials #1". The voyage took place between November 10 and November 14, 2021, departing from Hobart (TAS) and arriving in Hobart (TAS).

The purpose of this voyage was to undertake post port-period equipment calibrations and commissioning, sea trials and personnel training. These objectives included testing the new piston coring system and performing annual GSM equipment calibrations.

The following primary GSM tasks were undertaken:
•\tEK60 & EK80 calibration at anchor (White Rock, Derwent River)
•\tBackscatter calibration lines across calibration sites/lines 1 & 4 (in Storm Bay)
•\tEM710 & EM122 multibeam systems standard patch test calibrations (Latency, Roll, Pitch & Yaw)
•\tMapping of a bathymetry reference surface in a water depth of 150 m with the EM710
•\tTesting of Valeport SVX-2 deep water sound velocity probe to 3000 m
•\tPersonnel training and inter-organisation skills transfer (AAD)

This dataset is published with the permission of CSIRO. Not to be used for navigational purposes.

The dataset contains bathymetry grids of 5m to 210m resolution of Storm Bay, produced from the processed EM122 and EM710 bathymetry data.
Lineage: Multibeam data was logged from the EM’s in Kongsberg’s proprietary *.all format and was converted to be processed within CARIS HIPS and SIPS version 11.4.2. Data were imported into the HIPS project using EM Height and the vessel file appropriate for either the EM122 or EM710. GPS tide was applied using the EGM2008 model, EGM_2008_1Min_Aust_WGS84.csar. TPU values were computed using Measured Sound Velocity = 0.5 and Surface Sound Velocity= 0.1. The raw files were analysed for noise and cleaned either manually or using a trial of the new ADMIRALTY GAM automated sonar noise classifier (i.e., noise filter) in Caris. This service uses AI and Machine Learning to identify noise in bathymetry data. In some cases, the GAM ‘filter’ removed too much data, in which case rejected soundings were manually re-accepted by the analyst.

The data was gridded at multiple resolutions in python Caris batch script using a Depth filter Vs Resolution guideline derived from AusSeabed Multibeam guidelines v2 and further inspected for outliers. Final raster products are available in L3 folder of this collection. Final processed data were also exported per line as GSF and ASCII format and available in the L2 folder of this collection.