Meet the team
Qiaosi (Joss) Li
Research Associate
Dr Qiaosi Li joined UBDC in June 2022 as a research associate in urban sensing. She received her PhD in Geography and Resource Management from The Chinese University of Hong Kong. Her current interest is in employing remote sensing, big data and technology to understand change in the urban environment. Before joining UBDC, she gained research experience in applying multisource remotely sensed data and machine learning in vegetation, ecology, and geology studies.
Research interests:
- Remote sensing of vegetation and urban study
- Analysis and application of high-resolution, hyperspectral, and LiDAR data
- Application and development of machine learning
Positions
Research Associate
Publication links
Publications
Increased habitat availability as revealed by LiDAR contributes to the tropicalization of a subtropical butterfly community.
2024
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Identifying Tree Preservation Order Protected Trees by Deep Learning in Greater London Area.
2023
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Assessment of active LiDAR data and passive optical imagery for double-layered mangrove leaf area index estimation: a case study in Mai Po, Hong Kong.
2023
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Weakly-Supervised Semantic Segmentation of Airborne LiDAR Point Clouds in Hong Kong Urban Areas.
2023
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Combining multi-temporal airborne LiDAR and Sentinel-2 multispectral data for assessment of disturbances and recovery of mangrove forests.
2023
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Monitoring the Severity of Pantana phyllostachysae Chao Infestation in Moso Bamboo Forests Based on UAV Multi-Spectral Remote Sensing Feature Selection.
2022
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New morphological features for urban tree species identification using LiDAR point clouds.
2022
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Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data.
2021
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Classification of mangrove species using combined WordView-3 and LiDAR data in Mai Po Nature Reserve, Hong Kong.
2019
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Jointly funded by
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