2025

• Bao, X., Zhang, R., He, X., Shama, A., Yin, G., Chen, J.,…Shi, X. (2025). A novel dual-polarization SAR vegetation index for crop phenology detection. Computers and electronics in agriculture, 239, 110953. https://doi.org/10.1016/j.compag.2025.110953

• Wei, S., Zhang, H., & Ling, J. (2025). A review of mangrove degradation assessment using remote sensing: advances, challenges, and opportunities. GIScience and remote sensing, 62(1). https://doi.org/10.1080/15481603.2025.2491920

• Ying, Z., Zhou, Y., Zhai, Y., Zhu, H., Zhang, H., Coscia, P.,…Philip Chen, C. L. (2025). AEGL-Net: Adaptive Multiscale Global-Local Feature Fusion Network for Remote Sensing Change Detection. IEEE transactions on geoscience and remote sensing, 63, 1-19. https://doi.org/10.1109/TGRS.2025.3575591

• Zhang, A., Han, Z., Sun, G., Chen, X., Cheng, J., & Zhang, H. (2025). An impervious surfaces extraction method based on optical, ascending and descending SAR remote sensing imagery in high-density urban core areas. International journal of applied earth observation and geoinformation, 140, 104595. https://doi.org/10.1016/j.jag.2025.104595

• Bao, X., Zhang, R., He, X., Shama, A., Yin, G., Chen, J.,…Liu, G. (2025). An Integrated Time-Series Relative Soil Moisture Monitoring Method Based on a SAR Backscattering Model. IEEE journal of selected topics in applied earth observations and remote sensing, 18, 2137-2156. https://doi.org/10.1109/JSTARS.2024.3413673

• Fonseka, P. U., Mampitiya, L., Rathnayake, N., Zhang, H., Samarasuriya, C., Premasiri, R., & Rathnayake, U. (2025). Artificial intelligence to evaluate the impact of urban green and blue spaces on chlorophyll-a concentrations. Environmental science and pollution research international. https://doi.org/10.1007/s11356-025-36292-9

• Fonseka, P. U., Zhang, H., Premasiri, R., Samarasuriya, C., & Rathnayake, U. (2025). Assessing microclimatic influences in Colombo metropolitan area (CMA) amidst global climate change: a comprehensive study from 1980 to 2022. Environmental monitoring and assessment, 197(2), 199-199. https://doi.org/10.1007/s10661-025-13648-9

• Chen, Z., Zhu, S., Feng, H., Zhang, H., & Li, D. (2025). Coupling dynamics of urban flood resilience in china from 2012 to 2022: A network-based approach. Sustainable cities and society, 118, 105996. https://doi.org/10.1016/j.scs.2024.105996

• Bao, X., Shi, X., Zhang, R., Yin, G., Zhang, H., Wang, Y., & Zhou, G. (2025). Determining the contributions of soil moisture, climate and human activities to crop growth variations in the Eastern Henan Plain based on time-series SAR imagery. IEEE journal of selected topics in applied earth observations and remote sensing, 1-24. https://doi.org/10.1109/JSTARS.2025.3614651

• Cong, N., Koh, K., Kwan, M.-P., & Zhang, H. (2025). Digital platform-based conceptual framework for food environment research in China. Public health nutrition, 28(1), e57. https://doi.org/10.1017/S1368980024002209

• Wen, C., Sun, Z., Li, H., Han, Y., Gunasekera, D., Chen, Y.,…Zhao, X. (2025). Flood Mapping and Assessment of Crop Damage Based on Multi-Source Remote Sensing: A Case Study of the “7.27” Rainstorm in Hebei Province, China. Remote sensing (Basel, Switzerland), 17(5), 904. https://doi.org/10.3390/rs17050904

• Ren, L., Wang, D., Gao, L., Wang, M., Huang, M., & Zhang, H. (2025). HADDNLP: Hyperspectral Anomaly Detection via Double Nonlocal Priors. Pattern recognition, 112535. https://doi.org/10.1016/j.patcog.2025.112535

• Chen, Z., Jiang, S., Liang, X., & Zhang, H. (2025). High resolution multiple scenario simulations of future extreme sea levels in hong kong and socioeconomic risks. Scientific reports, 15(1), 24176-24118. https://doi.org/10.1038/s41598-025-09388-y

• Yu, P., Ou, Y., Chen, Y., Zhang, H., Deng, X., & Xu, N. (2025). Nature-based solutions in coastal urbanization: Addressing environmental and socio-economic challenges. Earth Critical Zone, 100032. https://doi.org/10.1016/j.ecz.2025.100032

• Li, Y., Zhang, H., Lin, Y., Ling, J., Xue, H., & Guo, P. (2025). Precise mitigation strategies for urban heat island effect in Hong Kong's new towns using automated machine learning. Sustainable cities and society, 125, 106350. https://doi.org/10.1016/j.scs.2025.106350

• Zhai, Y., Shen, Z., Zeng, J., Zhang, H., Zhu, H., Chang, Q.,…Genovese, A. (2025). Remote Sensing Change Detection via Centralized Low-High Rank Representation. IEEE transactions on geoscience and remote sensing, 1-1. https://doi.org/10.1109/TGRS.2025.3616118

• Zhang, H., Wei, S., Liang, X., Chen, Y., & Zhang, H. (2025). Scale effects in mangrove mapping from ultra-high-resolution remote sensing imagery. International journal of applied earth observation and geoinformation, 136, 104310. https://doi.org/10.1016/j.jag.2024.104310

• Qian, S., Xue, Z., Jia, M., & Zhang, H. (2025). Streamlined multilayer perceptron for contaminated time series reconstruction: A case study in coastal zones of southern China. ISPRS journal of photogrammetry and remote sensing, 221, 193-209. https://doi.org/10.1016/j.isprsjprs.2025.01.035

• Jia, M., Zhang, R., Zhao, C., Zhou, Y., Ren, C., Mao, D.,…Wang, Y. (2025). Synergistic estimation of mangrove canopy height across coastal China: Integrating SDGSAT-1 multispectral data with Sentinel-1/2 time-series imagery. Remote sensing of environment, 323, 114719. https://doi.org/10.1016/j.rse.2025.114719

• Xie, Y., Zhu, M., Wang, F., Zhao, J., Sun, W., Qin, Y., & Zhang, H. (2025). Unveiling changes in urban visual perception inequality in high-density cities: Insights from housing types and travel distances using time-series street view imagery. Applied geography (Sevenoaks), 185, 103776. https://doi.org/10.1016/j.apgeog.2025.103776

• Sit, K. Y., Chen, W. Y., Ng, K. Y., Koh, K., & Zhang, H. (2025). Unveiling environmental inequalities in high-density Asian city: City-scaled comparative analysis of green space coverage within 10-minute walk from private, public, and rural housing. Landscape and urban planning, 253, 105225. https://doi.org/10.1016/j.landurbplan.2024.105225

• Jiang, S., Chen, Z., Zhang, H., Loo, B. P. Y., & Lin, H. (2025). Using multi-source data to evaluate walkability in urban and rural Hong Kong: A multidimensional framework. Information Geography, 1(2), 100029. https://doi.org/10.1016/j.infgeo.2025.100029

2024

• Zhao, T., Wang, S., Ouyang, C., Chen, M., Liu, C., Zhang, J., . . . Wang, L. (2024). "Artificial intelligence for geoscience: Progress, challenges, and perspectives." The Innovation 5(5): 100691. DOI:https://doi.org/10.1016/j.xinn.2024.100691

• Zhai, Y., Li, W., Xian, T., Jia, X., Zhang, H., Tan, Z., . . . Chen, C. L. P. (2024). "CAS-Net: Comparison-Based Attention Siamese Network for Change Detection With an Open High-Resolution UAV Image Dataset." IEEE Transactions on Geoscience and Remote Sensing 62: 1-17. DOI:https://doi.org/10.1109/TGRS.2024.3386918

• Loo, B. P. Y., Tsoi, K. H., Feng, X., Zhang, H., Lin, Y., Huang, Z., . . . Lin, H. (2024). "Cities and Urbanization: Balancing the Environmental and Socioeconomic Dimensions of Sustainability." Advanced Sustainable Systems n/a(n/a): 2300401. DOI:https://doi.org/10.1002/adsu.202300401

• Ling, J., Liu, R., Wei, S., Chen, S., Ji, L., Zhao, Y. and Zhang, H. (2024). "Cloud probability distribution of typical urban agglomerations in China based on Sentinel-2 satellite remote sensing." International Journal of Applied Earth Observation and Geoinformation 135: 104254. DOI:https://doi.org/10.1016/j.jag.2024.104254

• Wei, S., Zhang, H., Xu, Z., Lin, G., Lin, Y., Liang, X., . . . Gong, P. (2024). "Coastal urbanization may indirectly positively impact growth of mangrove forests." Communications Earth & Environment 5(1). DOI:https://doi.org/10.1038/s43247-024-01776-y

• Yip, K. H. A., Liu, R., Wu, J., Hau, B. C. H., Lin, Y. and Zhang, H. (2024). "Community-based plant diversity monitoring of a dense-canopy and species-rich tropical forest using airborne LiDAR data." Ecological Indicators 158: 111346. DOI:https://doi.org/10.1016/j.ecolind.2023.111346

• Liu, R., Ling, J., Lin, Y. and Zhang, H. (2024). "Contrastive Learning for Urban Land Cover Classification With Multimodal Siamese Network." IEEE Geoscience and Remote Sensing Letters 21: 1-5. DOI:https://doi.org/10.1109/lgrs.2024.3442434

• Han, L., Chen, Y., Wang, Y., Sun, Y., Ding, Z., Zhang, H. and Tang, X. (2024). "Divergent responses of subtropical evergreen and deciduous forest carbon cycles to the summer 2022 drought." Environmental Research Letters 19(5): 054043. DOI:https://doi.org/10.1088/1748-9326/ad416e

• Ying, Z., Xian, T., Zhai, Y., Jia, X., Zhang, H., Pan, J., . . . Scotti, F. (2024). "DS-HyFA-Net: A Deeply Supervised Hybrid Feature Aggregation Network With Multiencoders for Change Detection in High-Resolution Imagery." IEEE Transactions on Geoscience and Remote Sensing 62: 1-17. DOI:https://doi.org/10.1109/tgrs.2024.3471075

• Zhai, Y., Pan, J., Zhang, H., Xian, T., Xu, Y., Coscia, P., . . . Philip Chen, C. L. (2024). "Efficient Adjacent Feature Harmonizer Network With UAV-CD+ Dataset for Remote Sensing Change Detection." IEEE Transactions on Geoscience and Remote Sensing 62: 1-18. DOI:https://doi.org/10.1109/tgrs.2024.3502768

• Ling, J., Zhang, H., Liu, R. and Sun, Z. (2024). "Enhancing urban monitoring in cloudy conditions: a novel framework for synergizing cloud-contaminated optical and PolSAR data." International Journal of Digital Earth 17(1). DOI:https://doi.org/10.1080/17538947.2024.2430676

• Chen, Y., Su, H., Yan, X.-H., Zhang, H. and Wang, Y. (2024). "Global oceans suffer extreme heatwaves intensifying since the early 21st century: A new comprehensive index." Ecological Indicators 162: 112069. DOI:https://doi.org/10.1016/j.ecolind.2024.112069

• Luo, J., Huang, Q., Zhang, H., Xu, Y., Zu, X. and Song, B. (2024). "Impact of Conservation in the Futian Mangrove National Nature Reserve on Water Quality in the Last Twenty Years." Forests 15(7): 1246. DOI:https://doi.org/10.3390/f15071246

• Bao, X., Zhang, R., He, X., Shama, A., Yin, G., Chen, J., . . . Liu, G. (2024). "An Integrated Time-Series Relative Soil Moisture Monitoring Method Based on a SAR Backscattering Model." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 1-22. DOI:https://doi.org/10.1109/JSTARS.2024.3413673

• Yu, B., Jiang, Z., Zhao, R., Wang, A. B., Zhang, H. and Xu, Z. (2024). "Leveraging transboundary interactions for urban resilience and sustainability." The Innovation Geoscience 2(3): 100084. DOI:https://doi.org/10.59717/j.xinn-geo.2024.100084

• Shen, W., Sun, Y., Li, J., Zhang, H., Ding, Z. and Tang, X. (2024). "Monitoring spatio-temporal dynamics of multi-dimensional karst ecosystem quality in Southwest China by integrating multi-source data." International Journal of Digital Earth 17(1). DOI:https://doi.org/10.1080/17538947.2024.2356119

• Fonseka, H. P. U., Premasiri, H. M. R., Chaminda, S. P. and Zhang, H. (2024). "Morphological and Functional Polycentric Urbanization in Colombo Metropolitan of Sri Lanka Using Time-Series Satellite Images from 1988–2022." Sustainability 16(17): 7816. DOI:https://doi.org/10.3390/su16177816

• Ling, J., Yip, K. H. A., Wei, S., Sit, K. Y., Sun, L., Meng, Q., . . . Zhang, H. (2024). "Multiscale rooftop greening and its socioeconomic implications in Hong Kong." Building and Environment 259: 111643. DOI:https://doi.org/10.1016/j.buildenv.2024.111643

• Sun, W., Su, F., Hou, X., Wu, G., Shen, F., Chen, G., . . . Huang, C. (2024). "Remote sensing for sustainable development of coastal Zones-Summary of the first national conference on remote sensing of coastal zones." National Remote Sensing Bulletin 28(4): 1123-1128. DOI:https://doi.org/10.11834/jrs.20243538

• Fu, Y., Zhu, Z., Liu, L., Zhan, W., He, T., Shen, H., . . . Ao, Z. (2024). "Remote Sensing Time Series Analysis: A Review of Data and Applications." Journal of Remote Sensing. DOI:https://doi.org/10.34133/remotesensing.0285

• Li, Y., Yang, J., Zhang, H., Li, G. and Chen, J. (2024). "Review of the studies on remote sensing classification based on polarimetric Synthetic Aperture Radar." National Remote Sensing Bulletin 0(0): 1-19. DOI:https://doi.org/10.11834/jrs.20242346

• Ling, J., Zhang, H., Liu, R. and Lin, Y. (2024). "SCFN: A Deep Network for Functional Urban Impervious Surface Mapping Using C-Band and L-Band Polarimetric SAR Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17: 13149-13161. DOI:https://doi.org/10.1109/jstars.2024.3427839

• Liu, R., Ling, J. and Zhang, H. (2024). "SoftFormer: SAR-optical fusion transformer for urban land use and land cover classification." ISPRS Journal of Photogrammetry and Remote Sensing 218: 277-293. DOI:https://doi.org/10.1016/j.isprsjprs.2024.09.012

• Cui, K., Li, R., Polk, S. L., Lin, Y., Zhang, H., Murphy, J. M., . . . Chan, R. H. (2024). "Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering." IEEE Transactions on Geoscience and Remote Sensing: 1-1. DOI:https://doi.org/10.1109/TGRS.2024.3385202

• Sit, K. Y., Ng, K. Y. and Zhang, H. (2024). "Understanding typhoon-induced vegetation loss and potential ecosystem disservices from land use zonings perspective in high-density Hong Kong." Applied Geography 170: 103345. DOI:https://doi.org/10.1016/j.apgeog.2024.103345

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/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).