Books

  • Zhang, H.S., Lin, H., Zhang, Y.Z. and Weng, Q.H. (2015). Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas. ISBN 9781482254839. CRC Press, Taylor & Francis Group.
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Refereed Journal Papers (* Corresponding author)

2023

  • Yip, K. H. A., Liu, R., Wu, J., Hau, B. C. H., Lin, Y., & Zhang, H.S.* (2024). Community-based plant diversity monitoring of a dense-canopy and species-rich tropical forest using airborne LiDAR data. Ecological Indicators, 158, 111346.
  • Ling, J., Wei, S., Gamba, P., Liu, R., & Zhang, H.S.* (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.
  • Pan, J., Huang, B., Zhang, H.S., & Devlin, A. T. (2023). Remote Sensing of Coastal Waters, Land Use/Cover, Lakes, Rivers, and Watersheds II. Remote Sensing, 15(23), 5573.
  • Bao, X., Zhang, R., Lv, J., Wu, R., Zhang, H.S., Chen, J., ... & Liu, G. (2023). Vegetation descriptors from Sentinel-1 SAR data for crop growth monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 203, 86-114.
  • Gong, P., Guo, H.*, Chen, B., Chen, F., He, G., Liang, D., ... & Zhang, H.S. (2023). iEarth: an interdisciplinary framework in the era of big data and AI for sustainable development. National Science Review, 10(8), nwad178. (IF: 20.6, Ranking: 4/73)
  • Liang, X., Lin, Y., Wu, R., Li, G., Khan, N., Liu, R., ... & Zhang, H.S.* (2023) Time-frequency analysis framework for understanding non-stationary and multi-scale characteristics of sea level dynamics. Frontiers in Marine Science, 9, 2849. (IF:3.7, Ranking:9/106)
  • Liu, R., Zhang, H.S.*, 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, 106283. (IF:6.4, Ranking:13/139)
  • Ling, J., Zhang, H.S.*(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, (in press). (IF:5.5, Ranking:6/49)
  • Wang, J., Song, G., Liddell, M., ..., Zhang, H.S.,… & Wu, J. (2023). An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites. Remote Sensing of Environment, 286, 113429. (IF:13.5, Ranking: 2/33)
  • Lin, J., Zhang, H.S., Chen, M., & Wang, Q. (2023). Socioeconomic disparities in cooling and warming efficiencies of urban vegetation and impervious surfaces. Sustainable Cities and Society, 104464. (IF: 11.7, Ranking: 1/68)
  • Li, X., Yang, B., Liang, F., Zhang, H.S., 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, 110000. (IF:7.4, Ranking:6/139)

2022

  • Guo, Y., Zhang, H.S.*, Li, Q., Lin, Y., Michalski, J. (2022) New morphological features for urban tree species identification using LiDAR point clouds. Urban Forestry & Urban Greening. 127558. doi.org/10.1016/j.ufug.2022.127558. (IF2020: 4.537)
  • Jiang, Q., Xu, Z.*, & Zhang, H.S.* (2022). Global impacts of COVID-19 on sustainable ocean development. The Innovation, 3(4), 100250. (IF: 32.1, Ranking: 5/133)
  • Guo, Y., Lin, Y., Chen, W. Y., Ling, J., Li, Q., Michalski, J., & Zhang, H.S.* (2022). New two-step species-level AGB estimation model applied to urban parks. Ecological Indicators, 145, 109694.
  • Lin, Y., Zhang, H.S*, 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. (IF:6.4, Ranking: 8/34)
  • Jiang, H., Guo, H., Sun, Z., Xing, Q., Zhang, H.S., 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. (IF: 11.1, Ranking:6/75)
  • Li, Y., Liang, H., Sun, G., Yuan, Z., Zhang, Y., & Zhang, H.S. (2022). A Land Cover Background-Adaptive Framework for Large-Scale Road Extraction. Remote Sensing, 14(20), 5114. (IF: 5.0, Ranking:31/201)
  • Meng, Y., Gou, R., Bai, J., Moreno‐Mateos, D., Davis, C. C., Wan, L., ..., Zhang, H.S.,… & Lin, G. (2022). Spatial patterns and driving factors of carbon stocks in mangrove forests on Hainan Island, China. Global Ecology and Biogeography, 31(9), 1692-1706. (IF:6.4, Ranking:4/63)
  • Lin, J., Ma, Q., Ju, Y., Zhang, H.S., 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. (IF:6.4, Ranking: 2/69)
  • Guo, Y., Zhang, H.S.*, Li, Q., Lin, Y., Michalski, J. (2022) New morphological features for urban tree species identification using LiDAR point clouds. Urban Forestry & Urban Greening. 127558. doi.org/10.1016/j.ufug.2022.127558. (IF:6.4, Ranking: 2/69)

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)
  • Ling, J., Zhang, H.S.* and Lin, Y. (2021). Improving urban land cover classification in cloud-prone areas with polarimetric SAR images. Remote Sensing. (IF2020: 4.848)
  • 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. (2020). 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. DOI:10.1109/JSTARS.2019.2915277. (IF2018: 3.392)
  • Fonseka, H.P.U., Zhang, H.S.*, Sun, Y., Su, H., Lin, H., & 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 (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. DOI:10.1109/JSTARS.2019.2907744. (IF2018: 3.392)
  • Buitre, M.J.C., Zhang, H.S.*, & Lin, H. (2019). The Mangrove Forests Change and Impacts from Tropical Cyclones in the Philippines Using Time Series Satellite Imagery. Remote Sensing, 11 (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.

 

2018

  • Zhang, H.S., Li, J., Wang, T., Lin, H., Zheng, Z., Li, Y., & Lu, Y. (2018a). A manifold learning approach to urban land cover classification with optical and radar data. Landscape and Urban Planning, 172, 11-24 (IF2018: 5.144)
  • Zhang, H.S., Lin, H.*, & Wang, Y. (2018b). A new scheme for urban impervious surface classification from SAR images. ISPRS Journal of Photogrammetry and Remote Sensing, 139, 103-118 (IF2018: 6.942)
  • Zhang, H.S.*, & 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 (IF2018: 4.846)
  • Zhang, H.S., Wang, T., Liu, M., Jia, M., Lin, H.*, Chu, L., & Devlin, A.T. (2018c). Potential of Combining Optical and Dual Polarimetric SAR Data for Improving Mangrove Species Discrimination Using Rotation Forest. Remote Sensing, 10, 467 (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., & Cao, Y. (2018d). Quantifying Short-Term Urban Land Cover Change with Time Series Landsat Data: A Comparison of Four Different Cities. Sensors, 18 (IF2018: 3.031)
  • Zhang, H.S.*, Lin, Y., Wang, T., Wan, L., Li, Y., Lin, H., 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.
  • Xu, R., Zhang, H.S.*, & Lin, H. (2018). Annual dynamics of impervious surfaces at city level of Pearl River Delta metropolitan. International Journal of Remote Sensing, 39, 3537-3555 (IF2018: 2.493)
  • Wan, L.M., Zhang, H.S.*, Wang, T., Li, G., & Lin, H. (2018). Mangrove Species Discrimination from Very High Resolution Imagery Using Gaussian Markov Random Field Model. Wetlands, 38, 861-874 (IF2018: 1.854)
  • Liu, M.F., Zhang, H.S.*, Lin, G.H., Lin, H., & Tang, D.L. (2018). Zonation and Directional Dynamics of Mangrove Forests Derived from Time-Series Satellite Imagery in Mai Po, Hong Kong. Sustainability, 10 (IF2018: 2.592)
  • Xu, J., Fang, C.Y., Gao, D., Zhang, H.S., Gao, C., Xu, Z.C., & 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 (IF2018: 6.942)
  • Zhang, Y.Z., Hallikainen, M., Zhang, H.S., Duan, H.T., Li, Y., & 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, 1325-1336 (IF2018: 3.392)

 

2017

  • Wang, T., Zhang, H.S.*, Lin, H., & Jia, X. (2017b). A Sparse Representation Method for a Priori Target Signature Optimization in Hyperspectral Target Detection. IEEE Access (IF2018: 4.098)
  • Xu, R., Zhang, H.S.*, & 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, 4010-4021 (IF2018: 3.392)
  • Xu, R., Zhang, H.S.*, Wang, T., & 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 (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). Space observation of the coastal resources and environment along the Maritime Silk Road. Bulletin of Chinese Academy of Sciences. Vol 32, Page 26-33.
  • Sukawattanavijit, C., Chen, J., & 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, 284-288 (IF2018: 3.534)

 

2016

  • Zhang, H.S.*, Li, G., & Lin, H. (2016a). An Automatic Co-registration Approach for Optical and SAR Data in Urban Areas. Annals of GIS, 22, 235-243
  • Zhang, H.S., Lin, H.*, Li, Y., Zhang, Y.Z., & Fang, C.Y. (2016b). Mapping urban impervious surface with dual-polarimetric SAR data: An improved method. Landscape and Urban Planning, 151, 55-63 (IF2018: 5.144)
  • Wang, T., Zhang, H.S., Lin, H.*, & Fang, C.Y. (2016). Textural-Spectral Feature-Based Species Classification of Mangroves in Mai Po Nature Reserve from Worldview-3 Imagery. Remote Sensing, 8 (IF2018: 4.118)

 

2015

  • Zhang, H.S., Lin, H.*, & 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, 1-5 (IF2018: 3.534)

 

2014

  • Zhang, H.S., Zhang, Y.Z.*, & Lin, H. (2014a). Seasonal effects of impervious surface estimation in subtropical monsoon regions. International Journal of Digital Earth, 7, 746-760 (IF2018: 3.985)
  • Zhang, Y.Z., Zhang, H.S.*, & Lin, H. (2014b). Improving the impervious surface estimation with combined use of optical and SAR remote sensing images. Remote Sensing of Environment, 141, 155-167 (IF2018: 8.218)
  • Li, Y., Zhang, Y.Z., Chen, J., & Zhang, H.S. (2014). Improved Compact Polarimetric SAR Quad-Pol Reconstruction Algorithm for Oil Spill Detection. IEEE Geoscience and Remote Sensing Letters, 11, 1139-1142 (IF2018: 3.534)

 

2013

  • Zhang, H.S., Lin, H., Li, Y., & Zhang, Y.Z.* (2013). Feature extraction for high-resolution imagery based on human visual perception. International Journal of Remote Sensing, 34, 1146-1163 (IF2018: 2.493)

 

2012

  • Zhang, H.S., Zhang, Y.Z.*, & Lin, H. (2012). A comparison study of impervious surfaces estimation using optical and SAR remote sensing images. International Journal of Applied Earth Observation and Geoinformation, 18, 148-156 (IF2018: 4.846)
  • Zhang, H.S., Zhang, Y.Z.*and Lin, H. (2012). Evaluation of the potential of ASAR data to estimate impervious surface area. Annals of GIS, 2012, vol. 18, issue 4, pp. 289-298
  • Zhang, H.S., Li, Y.* and Yin, Z. (2012). An approach on Interactive Allocated the Map Symbol System for SVG WebGIS. Science of Surveying and Mapping. 2012, 37(6): 130-132.
  • Zhang, H.S., Yan Li* and Cao, Y. (2009). A Curve Partition Based Watermarking Algorithm for Vector Graphics. Journal of Image and Graphics. 2009, 14(8):1516-1522.

 

Patents

  • Zhang, H.S. and Li, Y. (2010) A Curve Partition Based Watermarking Algorithm for Vector maps. CN101246586B (Chinese patent)