Data

Heard and MacDonald Islands (HIMI) multibeam and single beam bathymetry compilation

Commonwealth Scientific and Industrial Research Organisation
Downie, Ryan ; Scoulding, Ben ; Nau, Amy
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/7qjy-qw45&rft.title=Heard and MacDonald Islands (HIMI) multibeam and single beam bathymetry compilation&rft.identifier=https://doi.org/10.25919/7qjy-qw45&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This record describes collated multibeam and single beam datasets for Heard Island and McDonald Island (HIMI). The dataset was generated for FRDC Project No 2019-169 using a combination of available multibeam (MBES) data (CSIRO RV Investigator), single beam (SBES) data, and existing background bathymetry products. The compiled dataset includes MBES data from RV Investigator voyages IN2016_V01 and IN2020_V01. The SBES data was collected by fishing vessels and the data made available through the FRDC project. Background datasets used include the GEBCO 2022 Grid (GEBCO Compilation Group, 2022) and the AusBathyTopo (Kerguelen Plateau) 100m 2022 - A regional-scale depth model (Beaman, R.J., 2022).\n\nThe final product is a compiled and interpolated bathymetry surface for HIMI at 200 m resolution (World Mercator projection) in GeoTIFF format. \n\nNB: Combining datasets from various sources, such as SBES, MBES and satellite derived, will result in artefacts due to the differences in resolution and accuracy of each of these systems.\n&rft.creator=Downie, Ryan &rft.creator=Scoulding, Ben &rft.creator=Nau, Amy &rft.date=2025&rft.edition=v2&rft.coverage=westlimit=54.0; southlimit=-62.0; eastlimit=95.0; northlimit=-45.0; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=Heard & McDonald Islands&rft_subject=Indian Ocean&rft_subject=Multibeam Echosounder&rft_subject=Ocean Acoustics&rft_subject=Research Voyage: IN2016_V01&rft_subject=Research Voyage: IN2020_V01&rft_subject=Vessel Data: Multibeam Echosounder&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=EARTH SCIENCES&rft_subject=Oceanography not elsewhere classified&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
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Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

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Brief description

This record describes collated multibeam and single beam datasets for Heard Island and McDonald Island (HIMI). The dataset was generated for FRDC Project No 2019-169 using a combination of available multibeam (MBES) data (CSIRO RV Investigator), single beam (SBES) data, and existing background bathymetry products. The compiled dataset includes MBES data from RV Investigator voyages IN2016_V01 and IN2020_V01. The SBES data was collected by fishing vessels and the data made available through the FRDC project. Background datasets used include the GEBCO 2022 Grid (GEBCO Compilation Group, 2022) and the AusBathyTopo (Kerguelen Plateau) 100m 2022 - A regional-scale depth model (Beaman, R.J., 2022).

The final product is a compiled and interpolated bathymetry surface for HIMI at 200 m resolution (World Mercator projection) in GeoTIFF format.

NB: Combining datasets from various sources, such as SBES, MBES and satellite derived, will result in artefacts due to the differences in resolution and accuracy of each of these systems.

Available: 2025-11-05

Data time period: 2016-01-07 to 2022-06-01

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95,-45 95,-62 54,-62 54,-45 95,-45

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Subjects
Earth Sciences | Heard & McDonald Islands | Indian Ocean | Multibeam Echosounder | Ocean Acoustics | Oceanography | Oceanography Not Elsewhere Classified | Physical Oceanography | Research Voyage: IN2016_V01 | Research Voyage: IN2020_V01 | Vessel Data: Multibeam Echosounder |

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