Dr. Lei Zhang is a Research Assistant Professor in the Faculty of Architecture at the University of Hong Kong. His research focuses on developing either model-based or data-driven processing methods for construction of dynamic urban geospatial data infrastructure from multi-source satellite remote sensing data acquired at unprecedented spatial, temporal and thematic scales.
Lei received his M.Eng. in Geodesy from Tongji University in 2007, where he employed satellite radar and GNSS data to study the fault displacements associated with earthquakes. An ever-growing interest in handling Earth observation data pushed him to undertake research on advanced multi-temporal interferometric algorithms for processing satellite remote sensing images at the Hong Kong Polytechnic University (HKPolyU), leading to a PhD in Geodesy in 2012. When he was a PhD student, he got an opportunity to work with Prof. Zhong Lu at USGS for half a year, focusing on mapping ground settlement over Los Angeles metropolis using advanced InSAR technique. He then worked as a Research Associate in 2011, and Postdoc for a few months in 2012 both in the department of land surveying and geo-informatics (LSGI), HKPolyU. The offer of a RAP post within the department in September 2012 enabled him to build a small research group and accumulate more than 6-year teaching experience on various surveying and geo-informatics courses. His outstanding teaching performance won him a departmental teaching award in 2018.
Lei has long been working on development of advanced methodologies that can handle massive and heterogeneous geospatial datasets. Among them, the data acquired by active synthetic aperture radar (SAR) is his favourite. Such data has revolutionized the research especially in earth sciences thanks to its unique ability to capture target position and surface deformation with fine resolution and wide coverage under all weather, day and night working conditions. He has developed a series of advanced processing algorithms and innovative modelling frameworks to improve the quality and reliability of such data. He then applied the quality-ensured geospatial data to investigate the geological and geophysical mechanisms associated with natural hazards (e.g., earthquakes, volcano eruption, landslides, and sinkholes). His recent research interests include (1) Optimized InSAR processing framework and error theory; (2) Urban microwave surveying; (3) Remote sensing of urban morphology; (4) Urban resilience to climate change and geohazards.
Are You Missing Publications, Invited Lectures? Click Me.