From Western Australia Government
JSON RDF ISO19115-3 XML

Deep Learning Solar Panels 2022 (LGATE-455)

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Created 13/01/2025

Updated 13/01/2025

JSON RDF ISO19115-3 XML

2D solar panel outlines derived from Perth metropolitan imagery January/February 2022 (north, central and south metro areas) using a deep learning algorithm. The algorithm was created within Landgate to demonstrate to approved State and Local Government (Government) entities the capabilities of Deep Learning [DL] and Artificial Intelligence [AI] algorithms.

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Additional Info

Field Value
Title Deep Learning Solar Panels 2022 (LGATE-455)
Language English
Licence custom_government
Landing Page https://devweb.dga.links.com.au/data/dataset/14faf8ed-afaa-44b3-81c1-eede4546e861
Remote Last Updated 08/01/2025
Contact Point
Department of Planning (Western Australia)
reagan.cope@landgate.wa.gov.au
Reference Period 08/11/2022
Geospatial Coverage {"type": "Polygon", "coordinates": [[[115.58237312200004, -32.949685848999934], [116.42457571700004, -32.949685848999934], [116.42457571700004, -31.453533148999952], [115.58237312200004, -31.453533148999952], [115.58237312200004, -32.949685848999934]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Deep Learning Solar Panels 2022 (LGATE-455)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/deep-learning-solar-panels-2022-lgate-455

Original dataset
Dataset copies

No duplicate datasets found.