2026-09-20T19:31:45Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18930 2026-09-05T15:27:27Z ddc:004 open_access

Building-Level Comparison of Microsoft and Google Open Building Footprints Datasets (Short Paper) Gonzales, Jack Joseph Open data Building footprints Data comparison Large-scale datasets of building footprints are a crucial source of information for a variety of efforts. In 2023, the general public benefits from open access to multiple sources of building footprints at the country scale or larger, such as those produced by Microsoft and Google. However, none of the available datasets have attained complete global coverage, and researchers and analysts may need to combine multiple sources to assemble a complete set of building footprints for their area of interest or choose between overlapping sources, requiring an understanding of the differences between different building sources. This paper presents a method to closely examine the quality of different building footprint sources by matching corresponding buildings across datasets, using building footprints in Ethiopia published by Microsoft and Google as an example set. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Jack Joseph Gonzales 2023 Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2023.35 urn:nbn:de:0030-drops-189309 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.35 eng https://creativecommons.org/licenses/by/4.0/legalcode