PhD defence: Jinchao Song
Jinchao Song defends her PhD thesis,
Building smart sustainable city
- Multi-source data fusion using satellite remote sensing and social sensing
Supervisors:
Associate Professor Alexander Prishchepov, IGN
Professor Jianjun Zhang, China University of Geosciences
Assessment Committee:
Professor Thomas Blaschke, University of Salzburg
Professor Frank Canters, University of Brussel
Professor Rasmus Fensholt, IGN (Chair)
After the PhD defence there will be a reception in Rød Stue, Øster Voldgade 10, Area 6, First floor – everybody is welcome.
Summary:
This Ph.D. thesis presents research that provides new insights into urban studies using novel multi-source big data and techniques with the scope to improve understanding of urban development. City is a complex system which provides residence, employment, transportation and other utility functions for human well-being. To facilitate the development of sustainable urban pathways, such as reduction of traffic-related air pollution, the focus of my thesis was on systematic analysis of the relationship between different components. Novel geospatial big data and deep learning techniques open new opportunities to systematically understand human mobility and achieve real-time monitoring and dispatching road resource in a closed loop system. Based on multi-source novel geospatial data and analytic approaches, the objectives of this thesis addressed the follow questions:
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The thesis is available from the PhD administration