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Magnetic and related derivative GeoTIFF grids and data for Australia
This directory contains a national-scale magnetic anomaly grid for Australia (Geophysical Acquistion and Processing Section, 2020) and derivative grids calculated from the national scale compilation. The data are provided as GeoTIFF grids covering the country of Australia of reduced-to-pole (RTP) magnetic anomaly data, the 1st vertical derivative of the RTP, the horizontal gradient magnitude pseudo-gravity calculated from the RTP grid, the long-wavelength RTP magnetic anomaly, and the horizontal gradient magnitude of the long wavelength pseudo gravity calculated from the long wavelength RTP. The directory also includes shapefiles of locations that trace the maxima of the horizontal gradient magnitude of the pseudo-gravity and of the maxima of the horizontal gradient magnitude of the long wavelength RTP transformed to pseudo-gravity. Otherwise known as “worms”, the points tracking the maxima mark the edges of shallow magnetic sources (in the case of the RTP) and deeper magnetic sources (calculated from the long-wavelength RTP grid). The shapefile of worms also includes attribute fields related to the steepness of the gradient and to the trend or strike of the gradient. These data layers were used in combination with other geophysical and geological data layers as input into a mineral prospectivity model for basin-hosted Pb-Zn mineralization. The reader is encouraged to read the metadata specific to each data layer for details related to the calculation and derivation of each magnetic anomaly GeoTIFF grid or shapefile.
References
Geophysical Acquisition and Processing Section, 2020, Magnetic anomaly map of Australia, seventh edition, 2019 TMI RTP greyscale image: Geoscience Australia, http://pid.geoscience.gov.au/dataset/ga/144725.
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/214b032940b1ee385370a368c3cb68b9 |
|---|---|
| bureauCode |
[ "010:12" ] |
| identifier | USGS:619d3aa8d34eb622f6957be2 |
| spatial | 112.9331,-43.634,153.6199,-9.3789 |
| theme |
[ "geospatial" ] |