Dr Qiaosi Li
- Research Associate (Urban Big Data)
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Li, Q. , Bonebrake, T. C., Michalski, J. R., Kwan Kit Wong, F. and Fung, T. (2023) Combining multi-temporal airborne LiDAR and Sentinel-2 multispectral data for assessment of disturbances and recovery of mangrove forests. Estuarine, Coastal and Shelf Science, 291, 108444. (doi: 10.1016/j.ecss.2023.108444)
Li, Q. and Zhao, Q. (2023) Weakly-Supervised Semantic Segmentation of Airborne LiDAR Point Clouds in Hong Kong Urban Areas. In: 2023 Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece, 17-19 May 2023, ISBN 9781665493734 (doi: 10.1109/JURSE57346.2023.10144215)
Li, Q. , Wong, F. K. K., Fung, T., Brown, L. A. and Dash, J. (2023) 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. Remote Sensing, 15(10), 2551. (doi: 10.3390/rs15102551)
Li, Q. , Wang, M., Cai, Y., Luo, Q., Wang, Z. and Zhao, Q. (2023) Identifying Tree Preservation Order Protected Trees by Deep Learning in Greater London Area. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839695)
Guo, Y., Zhang, H., Li, Q. , Lin, Y. and Michalski, J. (2022) New morphological features for urban tree species identification using LiDAR point clouds. Urban Forestry and Urban Greening, 71, 127558. (doi: 10.1016/j.ufug.2022.127558)
Xu, Z. et al. (2022) Monitoring the Severity of Pantana phyllostachysae Chao Infestation in Moso Bamboo Forests Based on UAV Multi-Spectral Remote Sensing Feature Selection. Forests, 13(3), 418. (doi: 10.3390/f13030418)
Li, Q. , Kwan Kit Wong, F. and Fung, T. (2021) Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data. Remote Sensing of Environment, 258, 112403. (doi: 10.1016/j.rse.2021.112403)
Li, Q. , Wong, F. and Fung, T. (2019) Classification of mangrove species using combined WordView-3 and LiDAR data in Mai Po Nature Reserve, Hong Kong. Remote Sensing, 11(18), 2114. (doi: 10.3390/rs11182114)
Li, Q. , Bonebrake, T. C., Michalski, J. R., Kwan Kit Wong, F. and Fung, T. (2023) Combining multi-temporal airborne LiDAR and Sentinel-2 multispectral data for assessment of disturbances and recovery of mangrove forests. Estuarine, Coastal and Shelf Science, 291, 108444. (doi: 10.1016/j.ecss.2023.108444)
Li, Q. , Wong, F. K. K., Fung, T., Brown, L. A. and Dash, J. (2023) 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. Remote Sensing, 15(10), 2551. (doi: 10.3390/rs15102551)
Guo, Y., Zhang, H., Li, Q. , Lin, Y. and Michalski, J. (2022) New morphological features for urban tree species identification using LiDAR point clouds. Urban Forestry and Urban Greening, 71, 127558. (doi: 10.1016/j.ufug.2022.127558)
Xu, Z. et al. (2022) Monitoring the Severity of Pantana phyllostachysae Chao Infestation in Moso Bamboo Forests Based on UAV Multi-Spectral Remote Sensing Feature Selection. Forests, 13(3), 418. (doi: 10.3390/f13030418)
Li, Q. , Kwan Kit Wong, F. and Fung, T. (2021) Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data. Remote Sensing of Environment, 258, 112403. (doi: 10.1016/j.rse.2021.112403)
Li, Q. , Wong, F. and Fung, T. (2019) Classification of mangrove species using combined WordView-3 and LiDAR data in Mai Po Nature Reserve, Hong Kong. Remote Sensing, 11(18), 2114. (doi: 10.3390/rs11182114)
Li, Q. and Zhao, Q. (2023) Weakly-Supervised Semantic Segmentation of Airborne LiDAR Point Clouds in Hong Kong Urban Areas. In: 2023 Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece, 17-19 May 2023, ISBN 9781665493734 (doi: 10.1109/JURSE57346.2023.10144215)
Li, Q. , Wang, M., Cai, Y., Luo, Q., Wang, Z. and Zhao, Q. (2023) Identifying Tree Preservation Order Protected Trees by Deep Learning in Greater London Area. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839695)
https://orcid.org/0000-0002-2244-3393