Australian Gravity Compilation 2019 with DGIR Tilt Image
Updated 1mo ago
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Description
A gravity dataset for Australia and its continental margins, derived from approximately 1.8 million observations. The compilation includes ground, airborne, and offshore data sourced from the Australian National Gravity Database and global sources, processed to produce a de-trended global isostatic residual (DGIR) tilt image. The data was acquired by various government, industry, and research entities from the 1940s to 2019.
Use Cases
Detect edges of geological units based on the tilt filter applied to DGIR anomalies.
Interpret subsurface geological structure based on processed gravity data measuring rock density changes.
Map regional gravity anomalies for continental-scale geophysical modeling based on the 0.00417-degree grid.
Integrate ground and airborne gravity data to improve resolution in areas with sparse ground observations.
Strengths
Integrates approximately 1.8 million gravity observations, including nearly 1.4 million ground stations.
Includes 345,000 line km of airborne gravity and 106,000 line km of airborne gravity gradiometry data.
Data quality was checked by GA geophysicists to ensure it is fit-for-purpose.
Grid cell size is 0.00417 degrees (approximately 435m), providing a defined spatial resolution.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last updated 2026-05-05 01:29:41.574974; freshness should be verified.
Provenance
Source
Australian Ocean Data Network, incorporating data from Commonwealth, State, Territory Governments, industry, universities, and global sources.
Collection Method
Processed from ground observations, airborne surveys, and offshore grids using standard geophysical methods and a fast Fourier transform (FFT) for the tilt image.
Time Range
1940s to 2019
Freshness
Data compiled as of September 2019; metadata last updated in 2026.
Geography
Australia and its continental margins
File format is APPLICATION/X-NETCDF, which requires specialized software for analysis.