ISPRS Technical Commission IV

Spatial Information Science

President
	Sisi Zlatanova   UNSW Built Environment University of New South Wales Red Centre Building Kensington Campus Sydney NSW 2052 AUSTRALIA +61 4 2449 2894 isprs-pr-c4@isprs.org s.zlatanova@unsw.edu.au
Vice President
	Maria Antonia Brovelli   Department of Civil and Environmental Engineering Politecnico di Milano P.zza Leonardo da Vinci 32 20133 Milan ITALY +39 02 2399624 isprs-pr-c4@isprs.org maria.brovelli@polimi.it home page
Secretary
	Hao WU   National Geomatics Center of China 28 Lianhuachi West Road Haidian District Beijing 100830 CHINA +86 10 63881018 isprs-pr-c4@isprs.org wuhao@ngcc.cn

Terms of Reference

• Strengthen the work on multidimensional spatial modelling and interoperability towards seamless data fusion.
• Advance the investigation and research on open data and open software to support wither collaboration and foster advanced experimentation.
• Intensify the research on spatial analysis, data quality, uncertainty modelling and artificial intelligence towards more advanced analytical tools. 
• Encourage the use of high-performance, reliable, and knowledge-based techniques for geo-computation and geo-simulation towards development of demos and applications for modelling of complex space-time processes.
• Advance the research on crowdsourced data, internet of things, and public participation, towards community-driven and participatory intelligent systems.
• Strengthen the research on indoor/outdoor location-based services, navigation and tracking, and mobility towards seamless applications and analytics.
• Advance the research on spatial data types, indexing methods and analysis to further contribute to development of spatial SQL and no-SDL DBMS, cloud databases and date lakes for management and analysis of multi-dimensional data.
• Advance visual analytics and online multi-dimensional, virtual/augmented and mixed reality visualizations on different platforms towards advanced human-centered applications.
• Advance knowledge on use of spatial information (BIM/GIS/sensors) for urban modelling and creating spatially enabled Digital Twins.
• Advance the research in understanding and modelling human behaviours towards sustainable decision making and planning.
• Encourage the use of spatial information in different fields such as health, heritage, and disaster management towards improving domain specific technology and applications.
• Strengthen the research on global mapping, big geospatial data to support the UN SDG.