Google Open Buildings v3 (building footprints)
About this dataset
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✦ Suggested by OrionAIAI-derived building footprint polygons for Africa from Microsoft's Global ML Building Footprints, in 219 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.
Source: https://sites.research.google/gr/open-buildings/temporal/ The Open Buildings 2.5D Temporal Dataset contains annual data spanning eight years (2016-2023) with building presence, fractional building counts, and building heights covering approximately 58 million square kilometers. This dataset requires some knowledge with using scripts. The ZIP contains .txt files for over 130 countries and territories. The primary purpose of the data is to support comparison of building footprints across multiple years.
AI-derived building footprint polygons for Asia from Microsoft's Global ML Building Footprints, in 749 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.
AI-derived building footprint polygons for Brazil from Microsoft's Global ML Building Footprints, in 1154 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.
AI-derived building footprint polygons for Argentina from Microsoft's Global ML Building Footprints, in 663 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.
AI-derived building footprint polygons for Australia from Microsoft's Global ML Building Footprints, in 1776 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.
Indexed by OrionGIS from Google Open Buildings. Data is loaded from the publisher's own server when you use it. Permanent link