From Geoscience Australia

Medusa Banks Port Keats total count grid geodetic

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Created 14/01/2025

Updated 14/01/2025

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. The terrestrial dose rate grid is derived as a linear combination of the filtered K, U and Th grids. A low pass filter is applied to this grid to generate the filtered terrestrial dose rate grid. This Medusa Banks Port Keats total count grid geodetic has a cell size of 0.001 degrees (approximately 109m) and shows the terrestrial dose rate of the Medusa Banks, Port Keats, WA, 1994. The data used to produce this grid was acquired in 1994 by the WA Government, and consisted of 68378 line-kilometres of data at 500m line spacing and 100m terrain clearance.

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Field Value
Title Medusa Banks Port Keats total count grid geodetic
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/2e4a9083-4153-46a6-8465-51e12e347c1b
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 16/07/1994 - 23/09/1994
Geospatial Coverage {"type": "Polygon", "coordinates": [[[127.4461, -15.0087], [130.1581, -15.0087], [130.1581, -13.9897], [127.4461, -13.9897], [127.4461, -15.0087]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Medusa Banks Port Keats total count grid geodetic". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/medusa-banks-port-keats-total-count-grid-geodetic

No duplicate datasets found.