people

Full-time Academic Staff: Teaching Staff

Dr Hongsheng Zhang
張鴻生 助理教授

Zhang_HS.jpg

Room 10.07

391 77022

zhanghs@hku.hk

Assistant Professor

BE, ME (SCNU); PhD (CUHK)

Office:

Phone:

Email:

HKU Scholar Hub

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

Courses

GEOG1020

Modern Maps in the Age of Big Data

6

credits

Annual; 1st Semester

GEOG2141

Remote Sensing Applications #

6

credits

Annual; 2nd Semester

GEOG7011*

Research Methods in Transport Studies

6

credits

Annual; Full-year

Selected Publications

  2021  

  • Lin, Y., Wan, L., Zhang, H.S.*, Wei, S., Ma, P., Li, Y., & Zhao, Z. (2021). Leveraging optical and SAR data with a UU-Net for large-scale road extraction. International Journal of Applied Earth Observation and Geoinformation, 103, 102498. (IF2020: 5.933)
     

  • Guo, Y., Wan, L., Zhang, H.S.*, Lin, Y., Wang, H. (2021). A seasonal resilience index to evaluate the impacts of super typhoons on urban vegetation in Hong Kong. Annals of the American Association of Geographers. DOI:10.1080/24694452.2021.1989284. (IF2020: 4.683)
     

  • Wei, S., Lin, Y., Wan, L., Lin, G., Zhang, Y. and Zhang, H.S.* (2021). Developing a grid-based association rules mining approach to quantify the impacts of urbanization on the spatial extent of mangroves in China. International Journal of Applied Earth Observation and Geoinformation, 102, p.102431. (IF2020: 5.933)
     

  • Zhang, H.S., Lin, Y., Wei, S., Loo, B. P., Lai, P. C., Lam, Y. F., ... & Li, Y. (2021). Global association between satellite-derived nitrogen dioxide (NO2) and lockdown policies under the COVID-19 pandemic. Science of the Total Environment, 761, 144148. (IF2018: 6.551)
     

  • Bai, J., Meng, Y., Gou, R., Lyu, J., Dai, Z., Diao, X., Zhang, H.S., Luo, Y., Zhu, X., Lin, G. (2021). Mangrove diversity enhances plant biomass production and carbon storage in Hainan island, China. Functional Ecology. (IF2018: 4.430)
     

  • Lin, H., Zhang, H.S. (2021) Tropical and subtropical remote sensing: Needs, challenges, and opportunities. Journal of Remote Sensing. 25(1), 276-291
     

  • Wang, Z., Liu, J., Li, J., Meng, Y., Pokhrel, Y., Zhang, H.S. (2021). Basin-scale high-resolution extraction of drainage networks using 10-m Sentinel-2 imagery. Remote Sensing of Environment, 255, 112281. (IF2018: 8.218)
     

  • Su, H., Lu, X., Chen, Z., Zhang, H.S., Lu, W., & Wu, W. (2021). Estimating Coastal Chlorophyll-A Concentration from Time-Series OLCI Data Based on Machine Learning. Remote Sensing, 13(4), 576 (IF2018: 4.118)
     

  • Wei, S., Lin, Y., Zhang, H.S.*, Wan, L., Lin, H., Wu, Z. (2021). Estimating Chinese residential populations from analysis of impervious surfaces derived from satellite images. International Journal of Remote Sensing, 42(6), 2303-2326. (IF2018: 2.493)

  2020  

  • Ferrentino, E., Nunziata, F., Zhang, H.S., Migliaccio, M. (2020). On the ability of PolSAR measurements to discriminate among mangrove species. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13, 2729-2737. (IF2018: 3.392)
     

  • Lin, Y., Zhang, H.S.*, Lin, H., Gamba, P.E., Liu, X. (2020). Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale. Remote Sensing of Environment, 242. (IF2018: 8.218)
     

  • Wan, L., Lin, Y., Zhang, H.S.*, Wang, F., Liu, M., Lin, H. (2020). GF-5 Hyperspectral Data for Species Mapping of Mangrove in Mai Po, Hong Kong. Remote Sensing. (IF2018: 4.118)
     

  • Wan, L., Zhang, H.S.*, Liu, M., Lin, Y., Lin, H. (2020). Early monitoring exotic mangrove sonneratia in Hong Kong using deep convolutional network at half meter resolution. IEEE Geoscience and Remote Sensing Letters. DOI: 10.1109/LGRS.2020.2969522. (IF2018: 3.534)

  2019  

  • Sun, Y., Xin, Q*, Huang, J., Huang, B., Zhang, H.S. (2019). Characterizing Tree Species of a Tropical Wetland in Southern China at the Individual Tree Level Based on Convolutional Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019. (IF2018: 3.392)
     

  • 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

  2018  

  • 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).

  2017  

  • 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).

  2016  

  • 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).

  2015  

  • 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

Awards
  • 2020 NSFC Excellent Young Scientist Fund (Hong Kong and Macau)
     

  • 2020 ACM SIGSPATIAL China Rising Star Award
     

  • 2019 Best Paper Award, The 16th Chinese Conference of Geographic Information Science: Theory and Methods
     

  • 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

RESEARCH GRANTS
  • 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.

Professional Qualification/Membership
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE), 2020-present
     

  • Life Member, The International Association of Chinese Professional in Geographic Information Sciences (CPGIS), 2015-present
     

  • Member, International Society for Digital Earth (ISDE), 2015-present
     

  • Member, DBAR-COAST Working Group, Digital Belt And Road, 2017-present
     

  • Member, Global Urban Observation, Group on Earth Observations (GEO), 2014-present

Editorship and Editorial Board Membership
  • Associate Editor, International Journal of Applied Earth Observation and Geoinformation, 2021-present
     

  • Associate Editor, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-present
     

  • Topical Associate Editor, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020-present
     

  • Editorial Board Member, National Remote Sensing Bulletin, 2020-present