2019 B-Series De-trended Global Isostatic Residual Gravity Map of Australia
Updated 25d ago
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Description
1.4 million ground gravity observations from the Australian National Gravity Database, combined with 345,000 line km of airborne gravity and 106,000 line km of gravity gradiometry data, form this 2019 national grid. The map visualizes de-trended global isostatic residual gravity data as a Hue-Saturation-Intensity image, shaded from the northwest with a linear color scale from -500 to +500 µm.s⁻². Data was contributed by Commonwealth, State, and Territory Governments, the mining industry, universities, and research organizations from the 1940s onward.
Use Cases
Model subsurface density variations based on gravity anomaly data.
Support mineral exploration targeting based on regional gravity signatures.
Integrate with other geophysical datasets for comprehensive geological interpretation.
Calibrate and validate satellite-derived gravity models using ground-truth data.
Strengths
Integrates a large volume of data: 1.4 million ground observations, 345,000 line km of airborne gravity, and 106,000 line km of gravity gradiometry.
Data sources are diverse, spanning government, industry, and academic contributions collected from the 1940s to 2019.
The map provides a processed, de-trended view of gravity anomalies, which is a standard product for geological interpretation.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
The primary file format is PDF, which may limit direct machine-readability and analysis compared to raster or tabular formats.
Provenance
Source
Geoscience Australia Data
Collection Method
Combination of ground, airborne, and satellite gravity data processed into a national grid.
Time Range
Observations from the 1940s to September 2019.
Freshness
Last updated 2026-05-14 04:02:59.365917; freshness should be verified.
Geography
Australia
Data is provided in PDF format, which may require conversion or specialized tools for quantitative geospatial analysis.