Full-time Academic Staff: Teaching Staff

Dr Hongsheng Zhang

張鴻生 助理教授

Room 10.07

391 77022

Assistant Professor





Dr. Hongsheng Zhang received the B.Eng. degree in computer science and technology and the M.Eng. degree in computer applications technology from South China Normal University in 2007 and 2010, respectively, and the Ph.D. degree in earth system and geoinformation science from The Chinese University of Hong Kong in 2013. Before joining HKU, he was working in The Chinese University of Hong Kong as research associate and research assistant professor from 2013 to 2019. His research is mainly focused on incorporating multiple remote sensing technologies to understand the urbanization process and its environmental and ecological impacts at various spatial and temporal scales.

Research Interests
  • Smart Cities and Sustainable Development

  • Remote Sensing of Urban Environment

  • Remote Sensing of Wetlands

  • Multi-sensor Data Fusion


6 credits

Cartography and Computer Mapping

6 credits

Introduction to Disaster Risk Management Techniques

6 credits

Research Methods in Geography

selected Publications


  • Zhang, H. S., Wan L., Wang, T., Lin, Y., Lin, H. and Zheng, Z. (2019) “Impervious Surface Estimation from Optical and Polarimetric SAR data using Small-patched Deep Convolutional Networks: A Comparative Study.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(7): 2374-2387. DOI:10.1109/JSTARS.2019.2915277. (IF2018=3.392).

  • Fonseka, H. P. U., Zhang, H. S., Sun, Y., Su, H., Lin, H. and Lin, Y. Y. (2019) “Urbanization and its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016.” Remote Sensing 11(8): 957. DOI: 10.3390/rs11080957 (IF2018=4.118).

  • Lin, Y., Zhang, H. S., Li, G., Wang, T., Wan, L. and Lin, H. (2019) “Improving Impervious Surface Extraction with Shadow-based Sparse Representation from Optical, SAR and LiDAR data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(7): 2417-2428. DOI:10.1109/JSTARS.2019.2907744. (IF2018=3.392).

  • Buitre, M. J. C., Zhang, H. S. and Lin, H. (2019) “The Mangrove Forests Change and Impacts from Tropical Cyclones in the Philippines Using Time Series Satellite Imagery.” Remote Sensing 11(6): 688. DOI: 10.3390/rs11060688 (IF2018=4.118).

  • Wan, L., Zhang, H. S., Lin, G. H. and Lin, H. (2019) “A Small-patched Convolutional Neural Network for Mangrove Mapping at Species Level using High-resolution Remote-sensing Image.” Annals of GIS 25(1): 45-55. DOI: 10.1080/19475683.2018.1564791


  • Zhang, H. S., Li, J., Wang, T., Lin, H., Zheng, Z., Li, Y. and Lu, Y. (2018a) “A Manifold Learning Approach to Urban Land Cover Classification with Optical and Radar data.” Landscape and Urban Planning 172: 11-24. DOI: 10.1016/j.landurbplan.2017.12.009 (IF2018=5.144).

  • Zhang, H. S., Lin, H. and Wang, Y. (2018b) “A New Scheme for Urban Impervious Surface Classification from SAR Images.” ISPRS Journal of Photogrammetry and Remote Sensing 139: 103-118. DOI: 10.1016/j.isprsjprs.2018.03.007 (IF2018=6.942).

  • Zhang, H. S. and Xu, R. (2018) “Exploring the Optimal Integration Levels between SAR and Optical data for better Urban Land Cover Mapping in the Pearl River Delta.” International Journal of Applied Earth Observation and Geoinformation 64: 87-95. DOI: 10.1016/j.jag.2017.08.013 (IF2018=4.846).

  • Zhang, H. S., Wang, T., Liu, M., Jia, M., Lin, H., Chu, L. and Devlin, A. T. (2018c) “Potential of Combining Optical and Dual Polarimetric SAR data for Improving Mangrove Species Discrimination using Rotation Forest.” Remote Sensing 10(3): 467. DOI: 10.3390/rs10030467 (IF2018=4.118).

  • Zhang, H. S., Wang, T., Zhang, Y. H., Dai, Y. R., Jia, J. J., Yu, C., Li, G., Lin, Y. Y., Lin, H. and Cao, Y. (2018d) “Quantifying Short-term Urban Land Cover Change with Time Series Landsat data: A Comparison of Four Different Cities.” Sensors 18(12). DOI: 10.3390/s1812431 (IF2018=3.031).

  • Zhang, H. S., Lin, Y., Wang, T., Wan, L., Li, Y., Lin, H. and Zhang, Y. Z. (2018) “Fusing Optical and SAR Remote Sensing data for Urban Impervious Surface Estimation.” Geography and Geo-Information Science 34(3): 39-46. DOI: 10.3969/j.issn.1672-0504.2018.03.007

  • Xu, R., Zhang, H. S. and Lin, H. (2018) “Annual Dynamics of Impervious Surfaces at city level of Pearl River Delta Metropolitan.” International Journal of Remote Sensing 39(11): 3537-3555. DOI: 10.1080/01431161.2018.1444290 (IF2018=2.493).

  • Wan, L. M., Zhang, H. S., Wang, T., Li, G. and Lin, H. (2018) “Mangrove Species Discrimination from Very High Resolution Imagery using Gaussian Markov Random Field Model.” Wetlands 38(5): 861-874. DOI: 10.1007/s13157-017-0925-1(IF2018=1.854).

  • Liu, M. F., Zhang, H. S., Lin, G. H., Lin, H. and Tang, D. L. (2018) “Zonation and Directional Dynamics of Mangrove Forests derived from Time-Series Satellite Imagery in Mai Po, Hong Kong.” Sustainability 10(6): 1913. DOI: 10.3390/su10061913 (IF2018=2.592).

  • Xu, J., Fang, C. Y., Gao, D., Zhang, H. S., Gao, C., Xu, Z. C. and Wang, Y. Q. (2018) “Optical Models for Remote Sensing of Chromophoric Dissolved Organic Matter (CDOM) Absorption in Poyang Lake.” ISPRS Journal of Photogrammetry and Remote Sensing 142: 124-136. DOI: 10.1016/j.isprsjprs.2018.06.004 (IF2018=6.942).

  • Zhang, Y. Z., Hallikainen, M., Zhang, H. S., Duan, H. T., Li, Y. and Liang, X. S. (2018) “Chlorophyll-a Estimation in Turbid Waters using Combined SAR data with Hyperspectral Reflectance data: A Case Study in Lake Taihu, China.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11(4): 1325-1336. DOI: 10.1109/JSTARS.2017.2789247 (IF2018: 3.392).


  • Wang, T., Zhang, H. S., Lin, H. and Jia, X. (2017b) “A Sparse Representation Method for a Priori Target Signature Optimization in Hyperspectral Target Detection.” IEEE Access 6: 3408-3424. DOI: 10.1109/ACCESS.2017.2773662 (IF2018=4.098).

  • Xu, R., Zhang, H. S. and Lin, H. (2017a) “Urban Impervious Surfaces Estimation from Optical and SAR Imagery: A Comprehensive Comparison.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(9): 4010-4021. DOI: 10.1109/JSTARS.2017.2706747 (IF2018=3.392).

  • Xu, R., Zhang, H. S., Wang, T. and Lin, H. (2017b) “Using Pan-sharpened High Resolution Satellite data to Improve Impervious Surfaces Estimation.” International Journal of Applied Earth Observation and Geoinformation 57: 177-189. DOI: 10.1016/j.jag.2016.12.020 (IF2018=4.846).

  • Zhang, L., Lin, H., Hashim, M. B., Sutrisno, D., Khaing, M. M., Hossain, M. S., Lwin, Z. M., Zhang, H. S. and Zhu, L. (2017) “Earth Observation of Resources and Environment in Coastal Zone along the Maritime Silk Road.” Bulletin of Chinese Academy of Sciences. 32(Z1): 26-33.


  • Sukawattanavijit, C., Chen, J. and Zhang, H. S. (2017) “GA-SVM Algorithm for Improving Land-Cover Classification using SAR and Optical Remote Sensing data.” IEEE Geoscience and Remote Sensing Letters 14(3): 284-288. DOI: 10.1109/LGRS.2016.2628406 (IF2018=3.534).


  • Zhang, H. S., Li, G. and Lin, H. (2016a) “An Automatic Co-registration Approach for Optical and SAR data in Urban Areas.” Annals of GIS 22(3): 235-243. DOI: 10.1080/19475683.2016.1199595

  • Zhang, H. S., Lin, H., Li, Y., Zhang, Y. Z. and Fang, C. Y. (2016b) “Mapping Urban Impervious Surface with Dual-polarimetric SAR data: An Improved Method.” Landscape and Urban Planning 151: 55-63. DOI: 10.1016/j.landurbplan.2016.03.009 (IF2018=5.144).

  • Wang, T., Zhang, H. S., Lin, H. and Fang, C. Y. (2016) “Textural-spectral Feature-based Species Classification of Mangroves in Mai Po Nature Reserve from Worldview-3 Imagery.” Remote Sensing 8(1): 24. DOI: 10.3390/rs8010024 (IF2018=4.118).


  • Zhang, H. S., Lin, H. and Li, Y. (2015) “Impacts of Feature Normalization on Optical and SAR data Fusion for Land use/Land cover Classification.” IEEE Geoscience and Remote Sensing Letters 12(5): 1061-1065. DOI: 10.1109/LGRS.2014.2377722 (IF2018=3.534).

Last Update: September 2019

  • 2018  Best Poster Award, ESA-MOST DRAGON 4 PROGRAMME

  • 2015  Science and Technology Progress Award of Guangdong Province

  • 2015  Excellent Young Scientists of NRSCC, Ministry of Science and Technology, China

  • 2013  Postgraduate Research Output Award, The Chinese University of Hong Kong

  • 2013  Lion Dr. Francis K Pan Scholarship, The Chinese University of Hong Kong

  • 2011  Best Paper Award in the 19th International Conference GeoInformatics

  • Inter- and intra-annual dynamics of urban impervious surfaces in the Pearl River Delta using deep learning networks from synergized optical and SAR data, Principal Investigator, RGC GRF

  • Mangrove Species Discrimination in Hong Kong with Synergistic Use of High Resolution Optical and SAR Satellite Data, , Principal Investigator, RGC GRF

  • Improving the estimation of impervious surfaces using optical and polarimetric SAR data in humid subtropical urban areas, , Principal Investigator, RGC GRF

  • Impervious Surfaces Estimation in Subtropical Urban Areas Using Optical and Dual PolSAR Data, Principal Investigator, NSFC

Journal Reviews

Remote Sensing of Environment; IEEE Geoscience and Remote Sensing Magazine; IEEE Transactions on Geoscience and Remote Sensing; Environmental Science & Technology; Landscape and Urban Planning; Scientific Reports; Journal of Biogeography; Ecological Engineering; Building and Environment; International Journal of Geographical Information Science; ISPRS Journal of Photogrammetry and Remote Sensing; Photogrammetric Engineering and Remote Sensing; International Journal of Applied Earth Observation and Geoinformation; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing; International Journal of Digital Earth; International Journal of Remote Sensing; Remote Sensing Letters; Journal of Transport Geography; Journal of Forestry Research; Journal of Applied Remote Sensing; Remote Sensing; Sensors; Frontiers of Earth Science; Water; Annals of GIS; Remote Sensing Applications: Society and Environment; Journal of Glaciology and Geocryology; PeerJ; EURASIP Journal on Image and Video Processing; Journal of the Indian Society of Remote Sensing; Journal of Ambient Intelligence and Humanized Computing; IEEE Access; Sustainability; Geomatics and Information Science of Wuhan University; Forest Ecosystems.

Subscribe to Our Newsletter

  • Facebook-GeogHKU
  • Twitter-GeogHKU

© 2020 by Department of Geography, The University of Hong Kong.

  • Facebook-GeogHKU
  • Twitter-GeogHKU