From Geoscience Australia

Corona Fowlers Gap total count grid geodetic

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Created 20/01/2025

Updated 20/01/2025

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 Corona Fowlers Gap total count grid geodetic has a cell size of 0.00021 degrees (approximately 21m) and shows the terrestrial dose rate of the Fowler's Gap, Corona, NSW, Broken Hill Exploration Init., 1995. The data used to produce this grid was acquired in 1995 by the NSW Government, and consisted of 47943 line-kilometres of data at a line spacing between 100m and 200m, and 60m terrain clearance.

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Field Value
Title Corona Fowlers Gap total count grid geodetic
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/3d7873e0-9733-4512-88e5-4f3600ff3dd5
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 11/10/1995 - 01/04/1996
Geospatial Coverage {"type": "Polygon", "coordinates": [[[140.9893, -31.5054], [141.8857, -31.5054], [141.8857, -30.9958], [140.9893, -30.9958], [140.9893, -31.5054]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Corona Fowlers Gap total count grid geodetic". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/corona-fowlers-gap-total-count-grid-geodetic

No duplicate datasets found.