From Geoscience Australia
JSON RDF ISO19115-3 XML

Forbes total count grid geodetic

ARCHIVED

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 Forbes total count grid geodetic has a cell size of 0.00083 degrees (approximately 85m) and shows the terrestrial dose rate of the Forbes Detail, NSW, 1993. The data used to produce this grid was acquired in 1993 by the NSW Government, and consisted of 49055 line-kilometres of data at a line spacing between 200m and 400m, and 100m terrain clearance.

Files and APIs

Tags

Additional Info

Field Value
Title Forbes total count grid geodetic
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/50cbccbc-1306-4ad8-ad46-0f6b74d728e4
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 02/03/1993 - 09/05/1993
Geospatial Coverage {"type": "Polygon", "coordinates": [[[146.9272, -34.0453], [148.5732, -34.0453], [148.5732, -32.8908], [146.9272, -32.8908], [146.9272, -34.0453]]]}
Data Portal data.gov.au

Data Source

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

Original dataset
Dataset copies

No duplicate datasets found.