{"id":98799,"date":"2020-01-02T14:15:46","date_gmt":"2020-01-02T13:15:46","guid":{"rendered":"https:\/\/uniavisen.dk\/en\/event\/jinchao-song-ign-defends-her-phd-thesis-building-smart-sustainable-city-multi-source-data-fusion-using-satellite-remote-sensing-and-social-sensing\/"},"modified":"2020-01-02T14:15:46","modified_gmt":"2020-01-02T13:15:46","slug":"jinchao-song-ign-defends-her-phd-thesis-building-smart-sustainable-city-multi-source-data-fusion-using-satellite-remote-sensing-and-social-sensing","status":"publish","type":"event","link":"https:\/\/uniavisen.dk\/en\/event\/jinchao-song-ign-defends-her-phd-thesis-building-smart-sustainable-city-multi-source-data-fusion-using-satellite-remote-sensing-and-social-sensing\/","title":{"rendered":"Jinchao Song, IGN, defends her PhD thesis, Building smart sustainable city &#8211; Multi-source data fusion using satellite remote sensing and social sensing"},"content":{"rendered":"<p><strong>Supervisors:<\/strong><br \/>\nAssociate Professor Alexander Prishchepov, IGN<br \/>\nProfessor Jianjun Zhang, China University of\u00a0Geosciences<\/p>\n<p><strong>Assessment Committee:<\/strong><br \/>\nProfessor Thomas Blaschke, University of Salzburg<br \/>\nProfessor Frank Canters, University of Brussel<br \/>\nProfessor Rasmus Fensholt, IGN (Chair)<\/p>\n<p><strong>Summary:\u00a0<\/strong><br \/>\nThis 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:<\/p>\n<p>How can high spatial resolution functional zones be mapped with satellite remote sensing imagery?<br \/>\nHow can population density at fine scale be mapped using satellite night-time light data?<br \/>\nWhat are the spatio-temporal patterns of traffic congestion and what is the most influential urban form factor, which is associated with traffic congestion?<br \/>\nWhat are the spatio-temporal patterns of traffic-related air pollutant emissions? What is the relationship between traffic-related air pollutant emissions and functional zones?<br \/>\nHow does building density impact the land surface temperature? Is there any difference regarding land surface temperature among cities across different climatic zones?<br \/>\nThe thesis is available from the PhD administration<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Supervisors: Associate Professor Alexander Prishchepov, IGN Professor Jianjun Zhang, China University of\u00a0Geosciences Assessment Committee: Professor Thomas Blaschke, University of Salzburg Professor Frank Canters, University of Brussel Professor Rasmus Fensholt, IGN (Chair) Summary:\u00a0 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 [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":98800,"template":"","class_list":["post-98799","event","type-event","status-publish","has-post-thumbnail","hentry","event_category-phd-thesis-defense"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - 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