Data

National Gravity and Magnetic Derivatives Customised for Data Analysis and Machine Learning

Geoscience Australia
Miller, R. ; Goodwin, J. ; Wilford, J. ; McInnes, D.
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://pid.geoscience.gov.au/dataset/ga/149130&rft.title=National Gravity and Magnetic Derivatives Customised for Data Analysis and Machine Learning&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/149130&rft.publisher=Commonwealth of Australia (Geoscience Australia)&rft.description=PurposeThis package comprises a set of 86 thematic grids (rasters) derived from national coverages of gravity and magnetic survey data. These datasets provide valuable information about the distribution of geological features, physical property variations, and the composition of the Earth's crust. All grids have been resampled to the same cell size, map extent, and projection to allow them to be integrated into predictive mapping and modelling workflows using machine learning. Users can download individual grids or the whole grid package. Input DataThe following Australian national datasets were used:1. 2019 Australian National Gravity Grids: Free Air Anomaly, Complete Bouguer Anomaly, De-trended Global Isostatic Residual, 400 m cell size (Lane et al., 2020).2. Total Magnetic Intensity (TMI) Grid of Australia 2019 - seventh edition Enhanced Products Package (Morse, 2020).ProcessingAll processing of the national grids were undertaken using Intrepid software. The following was performed on the input data:1. The grids were reprojected from GDA94 geodetic to Australian Albers (EPSG 3577).2. The grids were aligned to the same grid cell registration point and interpolated to fit within an 80 m cell size using a cubic spline method to ensure that the cell locations for all images are common.3. Various Fast Fourier Transforms (FFT) were applied to each grid (see ‘Grids_for_Machine_Learning_dataset_notes.pdf’).Metadata (all grids)· Datum: GDA94· Projection: Australian Albers (EPSG 3577)· Cell size: 80 m· File format: GeoTiff (.tif)Full data is available on request from [email protected] - Quote eCat# 149130See the manifest document below for the full file listingMaintenance and Update Frequency: asNeededStatement: This dataset publication was created by the Geophysical Acquisition and Processing (GAP) and Integrated Geological Mapping (IGM) sections at Geoscience Australia in 2024. Please refer to the release notes (Grids_for_Machine_Learning_dataset_notes.pdf) for a description of how the data were processed.&rft.creator=Miller, R. &rft.creator=Goodwin, J. &rft.creator=Wilford, J. &rft.creator=McInnes, D. &rft.date=2024&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=© Commonwealth of Australia (Geoscience Australia) 2024&rft_rights=Australian Government Security Classification System https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_subject=geoscientificInformation&rft_subject=Geophysical Acquisition and Processing Section&rft_subject=machine learning&rft_subject=grids&rft_subject=raster&rft_subject=Total Magnetic Intensity&rft_subject=TMI&rft_subject=gravity&rft_subject=Reduction to Pole&rft_subject=RTP&rft_subject=analytic signal&rft_subject=tilt&rft_subject=phase map&rft_subject=residual&rft_subject=upward continuation&rft_subject=vertical integral&rft_subject=De-trended Global Isostatic Residual&rft_subject=DGIR&rft_subject=Free-Air Anomaly&rft_subject=FAA&rft_subject=Complete Bouguer Anomaly&rft_subject=horizontal derivative&rft_subject=band pass&rft_subject=vertical derivative&rft_subject=Gravimetrics&rft_subject=Magnetism and Palaeomagnetism&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

© Commonwealth of Australia (Geoscience Australia) 2024

Australian Government Security Classification System
https://www.protectivesecurity.gov.au/Pages/default.aspx

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Full description

Purpose
This package comprises a set of 86 thematic grids (rasters) derived from national coverages of gravity and magnetic survey data. These datasets provide valuable information about the distribution of geological features, physical property variations, and the composition of the Earth's crust. All grids have been resampled to the same cell size, map extent, and projection to allow them to be integrated into predictive mapping and modelling workflows using machine learning. Users can download individual grids or the whole grid package.

Input Data
The following Australian national datasets were used:
1. 2019 Australian National Gravity Grids: Free Air Anomaly, Complete Bouguer Anomaly, De-trended Global Isostatic Residual, 400 m cell size (Lane et al., 2020).
2. Total Magnetic Intensity (TMI) Grid of Australia 2019 - seventh edition Enhanced Products Package (Morse, 2020).

Processing
All processing of the national grids were undertaken using Intrepid software. The following was performed on the input data:
1. The grids were reprojected from GDA94 geodetic to Australian Albers (EPSG 3577).
2. The grids were aligned to the same grid cell registration point and interpolated to fit within an 80 m cell size using a cubic spline method to ensure that the cell locations for all images are common.
3. Various Fast Fourier Transforms (FFT) were applied to each grid
(see ‘Grids_for_Machine_Learning_dataset_notes.pdf’).

Metadata (all grids)
· Datum: GDA94
· Projection: Australian Albers (EPSG 3577)
· Cell size: 80 m
· File format: GeoTiff (.tif)

Full data is available on request from [email protected] - Quote eCat# 149130
See the manifest document below for the full file listing

Lineage

Maintenance and Update Frequency: asNeeded
Statement:
This dataset publication was created by the Geophysical Acquisition and Processing (GAP) and Integrated Geological Mapping (IGM) sections at Geoscience Australia in 2024. Please refer to the release notes (Grids_for_Machine_Learning_dataset_notes.pdf) for a description of how the data were processed.

Notes

Purpose
Grids created for input into data analysis and machine learning projects. See 'Grids_for_Machine_Learning_dataset_notes.pdf' for a list of all grids.

Created: 01 07 2024

Issued: 08 07 2024

This dataset is part of a larger collection

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154,-9 154,-44 112,-44 112,-9 154,-9

133,-26.5

text: westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00

Subjects
Complete Bouguer Anomaly | DGIR | De-trended Global Isostatic Residual | FAA | Free-Air Anomaly | Geophysical Acquisition and Processing Section | Gravimetrics | Magnetism and Palaeomagnetism | Published_External | RTP | Reduction to Pole | TMI | Total Magnetic Intensity | analytic signal | band pass | geoscientificInformation | gravity | grids | horizontal derivative | machine learning | phase map | raster | residual | tilt | upward continuation | vertical derivative | vertical integral |

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Other Information
Download Grids Notes (pdf) [321 KB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_00_0.pdf

Download File Manifest (pdf) [75.2 KB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_01_0.pdf

Download Gravity - 2019_B7_DGIR (tif) [13.7 GB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_02_0.tif

Download Gravity - 2019_B7_CBA (tif) [12.8 GB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_03_0.tif

Download Gravity - 2019_B7_FAA (tif) [13.5 GB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_04_0.tif

Download Magnetics - TMI (tif) [8.4 GB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_05_0.tif

Download Magnetics - TMI_VRTP (tif) [8.5 GB]

uri : https://d28rz98at9flks.cloudfront.net/149130/149130_05_0.tif

Identifiers
  • DOI : 10.26186/149130
  • Local : pid.geoscience.gov.au/dataset/ga/149130
  • global : 3a953681-9ec4-4f37-a986-b9c0e1b644ea