Abstract

Proceedings of the Academic Track at State of the Map 2020 - Online (originally planned in Cape Town, South Africa), July 4-6, 2020. Editors Marco Minghini – European Commission, Joint Research Centre (JRC), Ispra, Italy Serena Coetzee, Department of Geography, Geoinformatics and Meteorology, University of Pretoria Levente Juhász – GIS Center, Florida International University, Miami, FL, United States A. Yair Grinberger – Department of Geography, The Hebrew University of Jerusalem, Israel Peter Mooney – Department of Computer Science, Maynooth University, Maynooth, Ireland Godwin Yeboah – Institute for Global Sustainable Development, School of Cross-faculty Studies, University of Warwick, Coventry, United Kingdom

Abstract

Minghini, M., Coetzee, S., Grinberger, A. Y., Yeboah, G., Juhász, L., & Mooney, P. (2020). Editorial: OpenStreetMap research in the COVID-19 era In: Minghini, M., Coetzee, S., Juhász, L., Yeboah, G., Mooney, P., Grinberger, A.Y. (Eds.). Proceedings of the Academic Track at the State of the Map 2020 Online Conference, July 04-05 2020. Available at https://zenodo.org/communities/sotm-2020

Abstract

Biljecki, F., & Ang, M. L. (2020). Assessing Global OpenStreetMap building completeness to generate large-scale 3D city models In: Minghini, M., Coetzee, S., Juhász, L., Yeboah, G., Mooney, P., Grinberger, A.Y. (Eds.). Proceedings of the Academic Track at the State of the Map 2020 Online Conference, July 4-5 2020. Available at https://zenodo.org/communities/sotm-2020

Abstract

Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science "Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014. Land use inventories are important information sources for scholarly research, policy-makers, practitioners, and developers. A considerable amount of effort and monetary resources have been used to generate global/regional/local land use datasets. While remote sensing images and techniques as well as field surveying have been the main sources of determining land use features, in-field measurements of ground truth data collection for attributing those features has been always a challenging step in terms of time, money, as well as information reliability. In recent years, Web 2.0 technologies and GPS-enabled devices have advanced citizen science (CS) projects and made them user-friendly for volunteered citizens to collect and share their knowledge about geographical objects to these projects. Surprisingly, one of the leading CS projects i.e., OpenStreetMap (OSM) collects and provides land use features. The collaboratively collected land use features from multiple citizens could greatly support the challenging component of land use mapping which is in-field data collection. Hence, the main objective of this study is to calculate the completeness of land use features to OSM across Europe. The empirical findings reveal that the completeness index varies widely ranging from almost 2% for Iceland to 96% for Bosnia and Herzegovina. More precisely, more than 50% of land use features of eight European countries are mapped. This shows that CS can play a role in land use mapping as an alternative data source, which can partially contribute to the existing inventories for updating purposes.