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Medusa Banks, Port Keats, WA, 1994 (P608), radiometric line data, AWAGS levelled

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Created 20/01/2025

Updated 20/01/2025

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The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This Medusa Banks, Port Keats, WA, 1994 (P608), radiometric line data, AWAGS levelled were acquired in 1994 by the WA Government, and consisted of 68378 line-kilometres of data at 500m line spacing and 100m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS.

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Title Medusa Banks, Port Keats, WA, 1994 (P608), radiometric line data, AWAGS levelled
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/872336e1-dca4-4b87-ac4c-5bd1e495c367
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 16/07/1994 - 23/09/1994
Geospatial Coverage {"type": "Polygon", "coordinates": [[[127.4498, -15.0423], [130.1576, -15.0423], [130.1576, -13.9445], [127.4498, -13.9445], [127.4498, -15.0423]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Medusa Banks, Port Keats, WA, 1994 (P608), radiometric line data, AWAGS levelled". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/medusa-banks-port-keats-wa-1994-p608-radiometric-line-data-awags-levelled

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No duplicate datasets found.