PofoliaShared via Pofolia

International Journal of Geographical Information Systems· 2014

Quality assessment for building footprints data on OpenStreetMap

Hongchao Fan, Alexander Zipf, Qing Fu, Pascal Neis

Short summary

OpenStreetMap (OSM) building footprint data in Munich exhibits high completeness (97.4%) and semantic accuracy, with an average positional offset of ~4 meters and high shape similarity to official ATKIS data, though architectural details are simplified.

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Geography, Planning and Development

Geography, Planning and DevelopmentSocial Sciences