National Gravity Compilation 2019: Airborne DGIR Tilt Image of Australia
Updated 1mo ago
3filesHTML
Available on 1 platform
Sign in to view source links and access this dataset
Description
Nearly 1.4 million ground gravity stations, plus 345,000 line km of airborne gravity and 106,000 line km of airborne gravity gradiometry data, were used to generate this 2019 grid. The dataset, produced by Geoscience Australia, combines decades of data from government, industry, and research sources to create a processed image showing the tilt of de-trended global isostatic residual anomalies. The grid has a cell size of approximately 435 meters and is intended to reveal the geological structure beneath Australia's surface.
Use Cases
Edge detection of geological units based on the tilt filter applied to gravity anomalies.
Subsurface density modeling based on processed gravity anomaly data.
Integrating ground and airborne gravity surveys to improve resolution in areas with sparse ground data.
Regional geological mapping and structural interpretation based on the continental-scale grid.
Strengths
Integrates a large volume of observations: nearly 1.4 million ground stations and over 450,000 line km of airborne data.
Data quality is checked by GA geophysicists to ensure it is fit-for-purpose.
Combines data from multiple sources and collection methods (ground, airborne, offshore) over a long temporal range.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and exact file size are unknown, which may limit suitability assessment.
Provenance
Source
Geoscience Australia Data
Collection Method
Processed from the 2019 Australian National Gravity Grids B series, combining ground observations from the Australian National Gravity Database, offshore global gravity data, and airborne surveys.
Time Range
Data acquired from the 1940s to present, compiled as of September 2019.
Freshness
Last updated 2026-05-14 08:55:24.380386; freshness should be verified.
Geography
Australia and its continental margins.
Primary file format is APPLICATION/X-NETCDF, which may require specific geospatial software or libraries to use.