From Geoscience Australia
JSON RDF ISO19115-3 XML

Digital Earth Australia - Unlocking New Value from Earth Observation Data

ARCHIVED

Created 20/01/2025

Updated 20/01/2025

JSON RDF ISO19115-3 XML

Petascale archives of Earth observations from space (EOS) have the potential to characterise water resources at continental scales. For this data to be useful, it needs to be organised, converted from individual scenes as acquired by multiple sensors, converted into ‘analysis ready data’ and made available through high performance computing platforms. Moreover, converting this data into insights requires integration of non-EOS datasets that can provide biophysical and climatic context for EOS. Digital Earth Australia has demonstrated its ability to link EOS to rainfall and stream gauge data to provide insight into surface water dynamics during the hydrological extremes of flood and drought. This information is supporting the characterisation of groundwater resources across Australia’s north and could potentially be used to gain an understanding of the vulnerability of transport infrastructure to floods in remote, sparsely gauged regions of northern and central Australia.

Files and APIs

Tags

Additional Info

Field Value
Title Digital Earth Australia - Unlocking New Value from Earth Observation Data
Language English
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/373803d2-645b-40a0-b358-9afc0e993e02
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 24/04/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Digital Earth Australia - Unlocking New Value from Earth Observation Data". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/digital-earth-australia-unlocking-new-value-from-earth-observation-data

Original dataset
Dataset copies

No duplicate datasets found.