2019 B-Series: De-trended Isostatic Residual Gravity Map of Australia
Updated 3mo ago
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Description
1.4 million ground gravity observations, 345,000 line km of airborne gravity data, and 106,000 line km of gravity gradiometry data were combined to create this 2019 gravity grid. The map is a Hue-Saturation-Intensity image of De-trended Global Isostatic Residual Gravity data, shaded from the northwest with a linear color scale from -500 to +500 µm.s-2. Data was compiled by Geoscience Australia from government, industry, and research sources dating from the 1940s.
Use Cases
Identify subsurface density anomalies for mineral exploration based on the de-trended gravity residual data.
Model crustal structure and isostatic compensation based on the regional gravity field.
Integrate gravity data with other geophysical surveys for geological mapping.
Train machine learning models for geophysical feature detection using the HSI image representation.
Strengths
Integrates a large volume of data: 1.4 million ground observations and 451,000 line km of airborne/gradiometry data.
Data sources span multiple decades, from the 1940s to 2019, providing historical depth.
Combines data from national databases, industry, and global grids for broad coverage.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Data is delivered as a PDF, which may limit direct computational analysis without extraction.
Row count is unknown, which may limit suitability assessment for large-scale quantitative modeling.
Provenance
Source
Geoscience Australia Data
Collection Method
Combination of ground, airborne, and gradiometry data from the Australian National Gravity Database (ANGD) and National Australian Geophysical Database (NAGD), integrated with a global gravity grid.
Time Range
Observations from the 1940s to 2019, with a grid compiled as of September 2019.
Freshness
Last updated 2026-03-25 16:42:39.544606; freshness should be verified.
Geography
Australia
Primary file format is PDF, which may require raster processing or data extraction for numerical analysis.