From Western Australia Government
Deep Learning Solar Panels 2024 (LGATE-487)
Created 13/01/2025
Updated 01/04/2025
Files and APIs
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API ArcGIS Server Feature ServiceArcGIS Server Feature Service (Esri Token Authentication)custom_government
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API ArcGIS Server Map ServiceArcGIS Server Map Service (Esri Token Authentication)custom_government
Tags
Additional Info
Field | Value |
---|---|
Title | Deep Learning Solar Panels 2024 (LGATE-487) |
Language | English |
Licence | custom_government |
Landing Page | https://devweb.dga.links.com.au/data/dataset/8bcec3a1-8516-40d4-955e-28b9c1c82799 |
Contact Point | |
Geospatial Coverage | http://www.ga.gov.au/place-names/PlaceDetails.jsp?fctext=RESV&fctext=POPL&fctext=STAT&submit1=GA7 |
Data Portal | data.gov.au |
Data Source
This dataset was originally found on
data.gov.au
"Deep Learning Solar Panels 2024 (LGATE-487)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/deep-learning-solar-panels-2024
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Deep Learning Solar Panels 2024 (LGATE-487)
Department of Planning (Western Australia)
2D solar panel outlines derived from Perth metropolitan imagery January 2024 (north, central and south metro areas) using a deep learning algorithm. The algorithm was created...
No duplicate datasets found.