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3D-MicroMapping - Crowdsourcing zur Klassifikation von 3D-Geodaten.

, , , and . AGIT Journal Angew. Geoinformatik, (2016)

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3D-MicroMapping - Crowdsourcing zur Klassifikation von 3D-Geodaten., , , and . AGIT Journal Angew. Geoinformatik, (2016)Crowdsourced Validation and Updating of Dynamic Features in OpenStreetMap - An analysis of Shelter Mapping after the 2015 Nepal Earthquake., , and . ISCRAM, ISCRAM Association, (2016)Being Specific about Geographic Information Crowdsourcing: A Typology and Analysis of the Missing Maps Project in South Kivu., , and . ISCRAM, ISCRAM Association, (2016)Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning., , , , and . Remote Sensing, 11 (15): 1799 (2019)Towards assessing the quality of volunteered geographic information from OpenStreetMap for identifying critical infrastructures., , , and . ISCRAM, ISCRAM Association, (2015)Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations., , , , and . ISCRAM, ISCRAM Association, (2017)Geographical prioritization of social network messages in near real-time using sensor data streams: an application to floods., , , , and . GEOINFO, page 26-37. MCTI/INPE, (2015)Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data., , , , , and . ISPRS Int. J. Geo Inf., 6 (5): 144 (2017)Does the spatiotemporal distribution of tweets match the spatiotemporal distribution of flood phenomena? A study about the River Elbe Flood in June 2013., , , and . ISCRAM, ISCRAM Association, (2014)Identifying elements at risk from OpenStreetMap: The case of flooding., , , , and . ISCRAM, ISCRAM Association, (2014)