From Geoscience Australia
JSON RDF ISO19115-3 XML

Gawler Craton Airborne Survey Merge Digital Elevation Model - ground elevation geoid grid

ARCHIVED

Created 13/01/2025

Updated 13/01/2025

JSON RDF ISO19115-3 XML

Digital Elevation data record the terrain height variations from the processed point- or line-located data recorded during a geophysical survey. This Gawler Craton Airborne Survey Merge Digital Elevation Model - ground elevation geoid grid is elevation data for the Gawler Craton Airborne Survey Magnetic Radiometric and DEM Merge, SA, 2017-2019. This survey was acquired under the project No. 5000 for the geological survey of SA. The grid has a cell size of 0.0004 degrees (approximately 41m). This grid contains the ground elevation relative to the geoid for the Gawler Craton Airborne Survey Magnetic Radiometric and DEM Merge, SA, 2017-2019. It represents the vertical distance from a location on the Earth's surface to the geoid. The data are given in units of meters. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.

Files and APIs

Tags

Additional Info

Field Value
Title Gawler Craton Airborne Survey Merge Digital Elevation Model - ground elevation geoid grid
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/4e726879-a7df-458c-9bd3-f5650f9b35bb
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 01/01/2019 - 01/01/2019
Geospatial Coverage {"type": "Polygon", "coordinates": [[[130.987, -32.6745], [138.0122, -32.6745], [138.0122, -27.3437], [130.987, -27.3437], [130.987, -32.6745]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Gawler Craton Airborne Survey Merge Digital Elevation Model - ground elevation geoid grid". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/gawler-craton-airborne-survey-merge-digital-elevation-model-ground-elevation-geoid-grid

Original dataset
Dataset copies

No duplicate datasets found.