CrowdMapping: Crowdsourcing for Global Mapping


Crowdsourcing techniques have been widely employed to detect and map land surface dynamics, such as land use and land cover, human settlements, buildings, and crisis situations. These techniques are applied at regional and global scales to complement or substitute other specialized and expensive physical sensors aboard satellites, unmanned aerial vehicles, ground vehicles, and robots. This workshop will provide a forum for discussion of recent advances in crowdsourcing techniques for mapping global environments. Our goal is to bring together experts in global mapping who utilize Volunteered Geographic Information (VGI), User-Generated-Content, and Citizen Science to establish a common and sustainable ecosystem that will consolidate multi-disciplinary efforts from researchers and practitioners. CrowdMapping will be a key component of the ISPRS Geospatial Week 2023 hosted by the Arab Academy for Science, Technology and Maritime Transport, alongside other related workshops. Since this will be the first joint workshop of the organising team, we propose to allocate a single whole day of the ISPRS Geospatial Week for oral presentations, poster sessions, and hands-on demos aligned to the CrowdMapping context.


Themes of event:

⦁ Land use and land cover mapping using crowdsourcing
⦁ Fusion of multi-source data for land use monitoring and change detection
⦁ Integration of VGI and deep learning
⦁ Generation and extraction of high-quality training data from VGI
⦁ Satellite image analysis using crowdsourcing data for collaborative mapping
⦁ Measures, indicators, and evaluation methods of VGI quality
⦁ 3D building reconstruction from VGI data
⦁ Crowdsourcing-based indoor mapping
⦁ Building semantic enrichment using social media data
⦁ OpenStreetMap enrichment
⦁ Crisis mapping using web enabled crowdsourcing
⦁ Case study of VGI and crowdsourcing disaster relief
⦁ Automatically mapping human settlements in rural areas
⦁ Humanitarian cartography using OpenStreetMap
⦁ Unified platform for earth observation using Citizen Science
⦁ Extraction of urban functional regions from location-enabled social networks

Scientific Committee:
⦁ João Porto de Albuquerque, University of Glasgow, UK
⦁ Jamal Jokar Arsanjani, Aalborg University, Denmark
⦁ Ana Basiri, University of Glasgow, UK
⦁ Lucy Bastin, Aston University, UK
⦁ Alexander Brenning, Friedrich Schiller University, Germany
⦁ Cidália Fonte, Universidade de Coimbra, Portugal
⦁ Jukka Krisp, Universität Augsburg, Germany
⦁ Pascal Neis, University of Applied Sciences Mainz, Germany
⦁ Tessio Novack, University of Warwick, UK
⦁ Bernd Resch, University of Salzburg, Austria
⦁ Hansi Senaratne, German Aerospace Center(DLR), Germany
⦁ Bisheng Yang, Wuhan University, China
⦁ Xiaoxiang Zhu, German Aerospace Center(DLR), Germany
⦁ Alexlander Zipf, Universität Heidelberg, Germany

Supporting ISPRS Working Groups:
⦁ WG I/4: LiDAR, Laser Altimetry and Sensor Integration
⦁ WG VI/4: Data management for Spatial Scenarios