SOURCE-LINKED INTELLIGENCE
A comparative assessment of global building and settlement datasets across geographic and settlement contexts
Global building and settlement datasets increasingly support population mapping, exposure assessment, urban monitoring, and other analyses of the built environment, yet comparative evidence remains fragmented across products, geographic regions, reference datasets, spatial scales, and evaluation methods. We benchmark seven global or near-global products, including Overture Maps, Global Building Atlas, 3D-GloBFP, Google Open Buildings 2.5D Temporal (OBT), Microsoft TEMPO, GHSL, and WSF Tracker, against harmonized reference footprints across 135 study areas. The evaluation combines complementary
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T14:08:16.000Z
First collected: 2026-09-24T08:22:30.429Z. This is not the publication date.