Dataset guide · 地理遥感与城市

Kalgoorlie-Boulder Photo-Voltaic (PV) Potential Maps: Australian Footprints (Kalgoorlie, Boulder, Trafalgar)

This foundational spatial dataset provides building footprint geometries and attributes for approximately 16,000 buildings in Kalgoorlie-Boulder, integrating Microsoft Bing building footprints, ABS mesh block boundaries, elevation, and 2021 Census dwelling counts to support rooftop solar analyses.

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地理遥感与城市Free to access

Key facts

InstitutionAustralian Urban Research Infrastructure Network (AURIN)
CoverageKalgoorlie, Boulder, Trafalgar, Australia
Time spanBuilding footprints represent 2013-2018 building stock; dataset created 15/11/2025, updated 10/01/2026
ScaleApproximately 16,000 buildings across 530 mesh blocks
LicenseCC-BY-4.0
AccessVia AURIN Download Manager

Contents & fields

The dataset contains building footprint geometries and attributes, integrating Microsoft Bing building footprints, Australian Bureau of Statistics (ABS) mesh block boundaries, elevation from Elvis – Elevation and Depth (Geoscience Australia), and 2021 Census dwelling counts. Each footprint includes geometric attributes, statistical geography codes (SA1-SA4, mesh block), topographic classification, elevation, and population context. The source page does not disclose a full field list but mentions the following fields:

  • SA1-SA4 — Statistical geography codes for linking with ABS data
  • mesh block — Mesh block code
  • topographic classification — Topographic classification
  • elevation — Elevation value
  • population context — Population context information

Research uses

This dataset is suitable for rooftop solar potential analysis, spatial planning analysis (identifying high-potential zones for solar incentive programs), equity assessment (evaluating renewable energy access across socio-economic areas), infrastructure planning (relating distributed generation potential to grid connection points), and GIS analysis integrating solar data with ABS Census statistics, health data, or other spatially-referenced datasets.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

building footprintsPV potentialKalgoorlie-Boulderrooftop solarspatial analysisAURIN

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

When obtaining building footprint data, one often needs to integrate multiple sources (footprints, administrative boundaries, elevation, population data); this dataset is pre-integrated, saving preprocessing time.

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