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NSW Coonabarabran doserate grid geodetic

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Created 20/01/2025

Updated 20/01/2025

JSON RDF ISO19115-3 XML

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 NSW Coonabarabran doserate grid geodetic has a cell size of 0.00045 degrees (approximately 47m) and shows the terrestrial dose rate of the Coonabarabran Airborne Magnetic Radiometric and DEM Survey, NSW, 2017. The data used to produce this grid was acquired in 2017 by the NSW Government, and consisted of 50961 line-kilometres of data at 250m line spacing and 60m terrain clearance.

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Title NSW Coonabarabran doserate grid geodetic
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/3a8d924a-781c-4624-a68a-c233e640f757
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 17/05/2017 - 30/07/2017
Geospatial Coverage {"type": "Polygon", "coordinates": [[[147.9867, -32.0091], [149.7638, -32.0091], [149.7638, -30.9903], [147.9867, -30.9903], [147.9867, -32.0091]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "NSW Coonabarabran doserate grid geodetic". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/nsw-coonabarabran-doserate-grid-geodetic

Original dataset
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No duplicate datasets found.