Daniel Kašík
PhD student of Cartography, Geoinformatics and Remote Sensing at the Masaryk University in Brno, Czechia
Part of the Missing Maps CZ & SK community
OpenStreetMap enthusiast
Remote Sensing, Machine Learning and GIS analyst
Session
10-03
14:30
20min
When Metadata Isn’t Enough: Extrinsic Quality Assessment of OSM Using Custom Reference Data
Daniel Kašík
This talk explores the extrinsic quality of OpenStreetMap data in Brno by comparing the city’s most frequently mapped amenities against a custom, field-collected reference dataset. The findings highlight relatively high attribute accuracy in OSM but reveal gaps in feature completeness, with only about 34.94% of features matched with the reference dataset.
Pulag