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Analyzing and Improving the Quality and Fitness for Purpose of OpenStreetMap as Labels in Remote Sensing Applications

  • Schott M
  • Zell A
  • Lautenbach S
  • et al.
Springer Nature Switzerland, (2024), 21-42
DOI: 10.1007/978-3-031-35374-1_2
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Abstract

OpenStreetMap (OSM) is a well-known example of volunteered geographic information. It has evolved to one of the most used geographic databases. As data quality of OSM is heterogeneous both in space and across different thematic domains, data quality assessment is of...

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APA

Schott, M., Zell, A., Lautenbach, S., Sumbul, G., Schultz, M., Zipf, A., & Demir, B. (2024). Analyzing and Improving the Quality and Fitness for Purpose of OpenStreetMap as Labels in Remote Sensing Applications. In Volunteered Geographic Information (pp. 21–42). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35374-1_2

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