2023  

• Liu, R., Zhang, H., Yip, K. H. A., Ling, J., Lin, Y., & Huang, H. (2023). Automatic building height estimation with shadow correction over heterogeneous compact cities using stereo Gaofen-7 data at sub-meter resolution. Journal of Building Engineering, 69, 106283. https://doi.org/10.1016/j.jobe.2023.106283
   

• Wang, J., Song, G., Liddell, M., Morellato, P., Lee, C. K. F., Yang, D., Alberton, B., Detto, M., Ma, X., Zhao, Y., Yeung, H. C. H., Zhang, H., Ng, M., Nelson, B. W., Huete, A., & Wu, J. (2023). An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites. Remote Sensing of Environment, 286, 113429. https://doi.org/10.1016/j.rse.2022.113429
   

• Li, X., Yang, B., Liang, F., Zhang, H., Xu, Y., & Dong, Z. (2023). Modeling urban canopy air temperature at city-block scale based on urban 3D morphology parameters– A study in Tianjin, North China. Building and Environment, 230, 110000. https://doi.org/https://doi.org/10.1016/j.buildenv.2023.110000
   

• Lin, J., Zhang, H., Chen, M., & Wang, Q. (2023). Socioeconomic disparities in cooling and warming efficiencies of urban vegetation and impervious surfaces. Sustainable Cities and Society, 92, 104464. https://doi.org/10.1016/j.scs.2023.104464
   

• Liang, X., Lin, Y., Wu, R., Li, G., Khan, N., Liu, R., Su, H., Wei, S., & Zhang, H. (2023). Time-frequency analysis framework for understanding non-stationary and multi-scale characteristics of sea-level dynamics. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.1070727
   

• Ling, J., & Zhang, H. (2023). WCDL: A Weighted Cloud Dictionary Learning Method for Fusing Cloud-Contaminated Optical and SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 2931-2941. https://doi.org/10.1109/JSTARS.2023.3259469
   

• Ling, J., Wei, S., Gamba, P., Liu, R., & Zhang, H. (2023). Advancing SAR monitoring of urban impervious surface with a new polarimetric scattering mixture analysis approach. International Journal of Applied Earth Observation and Geoinformation, 124, 103541. https://doi.org/10.1016/j.jag.2023.103541
   

• Gong, P., Guo, H., Chen, B., Chen, F., He, G., Liang, D., Liu, Z., Sun, Z., Wu, J., Xu, Z., Yan, D., & Zhang, H. (2023). iEarth: an interdisciplinary framework in the era of big data and AI for sustainable development. National Science Review, 10(8), nwad178. https://doi.org/10.1093/nsr/nwad178
   

• Pan, J., Huang, B., Zhang, H., & Devlin, A. T. (2023). Remote Sensing of Coastal Waters, Land Use/Cover, Lakes, Rivers, and Watersheds II. Remote Sensing, 15(23).
   

• Bao, X., Zhang, R., Lv, J., Wu, R., Zhang, H., Chen, J., Zhang, B., Ouyang, X., & Liu, G. (2023). Vegetation descriptors from Sentinel-1 SAR data for crop growth monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 203, 86-114. https://doi.org/10.1016/j.isprsjprs.2023.07.023

  2022  

• Jiang, Q., Xu, Z., & Zhang, H. (2022). Global impacts of COVID-19 on sustainable ocean development. The Innovation, 3(4), 100250. https://doi.org/10.1016/j.xinn.2022.100250
  ​

• Jiang, Q., Li, Z., Qu, S., Cui, Y., Zhang, H., & Xu, Z. (2022). High-resolution map of China's sustainability. Resources, Conservation and Recycling, 178, 106092. https://doi.org/10.1016/j.resconrec.2021.106092​
   

• Liu, R., Zhang, H., & Ling, J. (2022). Hybrid Transformer Networks for Urban Land Use Classification from Optical and SAR Images. IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium.
  ​

• Lin, Y., Zhang, H., Li, G., Wan, L., Wang, F., Ma, P., & Lin, H. (2022). Improving urban impervious surface extraction by synergizing hyperspectral and polarimetric radar data using sparse representation. The Egyptian Journal of Remote Sensing and Space Science, 25(4), 1045-1056. https://doi.org/10.1016/j.ejrs.2022.11.004
  ​

• Lin, Y., & Zhang, H. (2022). Intra-Year Urban Renewal in Metropolitan Cities Using Time Series SAR and Optical Data. IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium.
  ​

• Li, Y., Liang, H., Sun, G., Yuan, Z., Zhang, Y., & Zhang, H. (2022). A Land Cover Background-Adaptive Framework for Large-Scale Road Extraction. Remote Sensing, 14(20), 5114. https://doi.org/10.3390/rs14205114
  ​

• Liang, X., Lin, Y., & Zhang, H. (2022). Mapping Urban Impervious Surface With an Unsupervised Approach Using Interferometric Coherence of SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2734-2744. https://doi.org/10.1109/JSTARS.2022.3149813
  ​

• Guo, Y., Zhang, H., Li, Q., Lin, Y., & Michalski, J. (2022). New morphological features for urban tree species identification using LiDAR point clouds. Urban Forestry & Urban Greening, 71, 127558. https://doi.org/10.1016/j.ufug.2022.127558​
   

• Guo, Y., Lin, Y., Chen, W. Y., Ling, J., Li, Q., Michalski, J., & Zhang, H. (2022). New two-step species-level AGB estimation model applied to urban parks. Ecological Indicators, 145, 109694. https://doi.org/10.1016/j.ecolind.2022.109694
  ​

• Ling, J., & Zhang, H. (2022). Pixel-Wise Cloud Dictionary Learning for Fusing Optical and SAR Data. IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium.
   

• Jiang, H., Guo, H., Sun, Z., Xing, Q., Zhang, H., Ma, Y., & Li, S. (2022). Projections of urban built-up area expansion and urbanization sustainability in China's cities through 2030. Journal of Cleaner Production, 367, 133086. https://doi.org/10.1016/j.jclepro.2022.133086
  ​

• Lin, J., Ma, Q., Ju, Y., Zhang, H., Wang, Q., & Huang, B. (2022). Relationships between urbanization, tree morphology, and carbon density: An integration of remote sensing, allometric models, and field survey. Urban Forestry & Urban Greening, 76, 127725. https://doi.org/10.1016/j.ufug.2022.127725
  ​

• Lam, Y.-F., Chang, J. M. H., Loo, B. P. Y., Zhang, H.-S., Leung, K. K. M., & Axhausen, K. W. (2022). Screening Approach for Short-Term PM2.5 Health Co-Benefits: A Case Study from 15 Metropolitan Cities around the World during the COVID-19 Pandemic. Atmosphere, 13(1). https://doi.org/10.3390/atmos13010018
  ​

• Guo, Y., Wan, L., Zhang, H., Lin, Y., & Wang, H. (2022). A Seasonal Resilience Index to Evaluate the Impacts of Super Typhoons on Urban Vegetation in Hong Kong. Annals of the American Association of Geographers, 1-19. https://doi.org/10.1080/24694452.2021.1989284

  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).