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Identifying elements at risk from OpenStreetMap: the case of flooding

, , , , and . International Conference on Information Systems for Crisis Response and Management, 11, The Pennsylvania State University, (2014)

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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)3D-MicroMapping - Crowdsourcing zur Klassifikation von 3D-Geodaten., , , and . AGIT Journal Angew. Geoinformatik, (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)Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data., , , , , and . ISPRS Int. J. Geo Inf., 6 (5): 144 (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)Leveraging OpenStreetMap to Support Flood Risk Management in Municipalities: A Prototype Decision Support System., , , , , , and . ISCRAM, ISCRAM Association, (2016)A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management., , , and . Int. J. Geogr. Inf. Sci., 29 (4): 667-689 (2015)