From Geoscience Australia

MH370 Phase 1 Optimal Bathymetry datasets (GA-4421, GA-4422 and GA-4430)

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Created 13/01/2025

Updated 13/01/2025

On behalf of Australia, the Australian Transport Safety Bureau (ATSB) is leading search operations for missing Malaysian airlines flight MH370 in the Southern Indian Ocean. Geoscience Australia provided advice, expertise and support to the ATSB to facilitate bathymetric surveys, which were undertaken to provide a detailed map of the sea floor topography to aid navigation during the underwater search. Bathymetric data was acquired by multibeam sonar mounted on the hull of multiple vessels (GA survey reference: GA-4421, GA-4422 & GA-4430). Bathymetric surveys were conducted from June 2014 to February 2017, collecting over 710,000 square kilometres of data in the search area and along transit lines (to and from the search area). This dataset allows exploration of the seafloor topography through an optimal resolution compilation of tiles across the search and transit areas of the Southern Indian Ocean. The dataset is overlain on a hillshade created from the Optimal resolution bathymetry data. The hillshade was created with the parameters of point illumination azimuth at 45 degrees and altitude of 45 degrees.

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Field Value
Title MH370 Phase 1 Optimal Bathymetry datasets (GA-4421, GA-4422 and GA-4430)
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/4e082d9c-83cd-42c5-9928-3ce8261ebe4b
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 05/06/2014 - 22/12/2014
Geospatial Coverage {"type": "Polygon", "coordinates": [[[79.0, -42.0], [116.0, -42.0], [116.0, -10.0], [79.0, -10.0], [79.0, -42.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "MH370 Phase 1 Optimal Bathymetry datasets (GA-4421, GA-4422 and GA-4430)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/mh370-phase-1-optimal-bathymetry-datasets-ga-4421-ga-4422-and-ga-4430

No duplicate datasets found.