Measuring OpenStreetMap building footprint completeness using human settlement layers

Room: Track 2
Academic Track

Sunday, 10:45 UTC
Duration: 20 minutes (plus Q&A)

session pad

full abstract - pdf

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Bio of the primary speaker

video on media.ccc.de
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• Ardie Orden (Thinking Machines Data Science )
• Ren Avell Flores (Thinking Machines Data Science )
• Pia Faustino (Thinking Machines Data Science )
• Mark Steve Samson (Thinking Machines Data Science)

Non-government organizations and local government units use geographic data from OpenStreetMap (OSM) to target humanitarian aid and public services. As more people start to depend on OSM, it is important to study data completeness in order to identify unmapped regions so that OSM volunteers can focus their attention on these areas. In this study, we propose a method to measure the data completeness of OSM building footprints using human settlements data.