ZHANG Fangli ☜ 张方利

Journal Articles

* denotes corresponding author

  1. Cheng, L.*, Zhang, F., Li, S., Mao, J., Xu, H., Ju, W., et al. (2020). Solar energy potential of urban buildings in 10 cities of China. Energy, 196, 117038. http://doi.org/10.1016/j.energy.2020.117038

  2. Zhang, F., & Zhou, Q.* (2019). Parallelization of the flow-path network model using a particle-set strategy. International Journal of Geographical Information Science, 33(10), 1984–2010. http://doi.org/10.1080/13658816.2019.1599126

  3. Zhou, X., Cheng, L.*, Zhang, F., Yan, Z., Ruan, X., Min, K., & Li, M.* (2019). Integrating Island Spatial Information and Integer Optimization for Locating Maritime Search and Rescue Bases: A Case Study in the South China Sea. ISPRS International Journal of Geo-Information, 8(2), 88. http://doi.org/10.3390/ijgi8020088

  4. Cheng, L., Yan, Z., Xiao, Y., Chen, Y., Zhang, F.*, & Li, M.* (2018). Using big data to track marine oil transportation along the 21st-century Maritime Silk Road. Science China Technological Sciences, 4, 652. http://doi.org/10.1007/s11431-018-9335-1

  5. Zhang, F., & Zhou, Q.* (2017). Application of Terrain Analysis in Watershed Hydrologic Modeling [地形分析在流域水文建模中的应用进展]. Geography and Geo-Information Science [地理与地理信息科学], 33(4), 8-15. http://doi.org/10.1016/j.solener.2013.08.036

  6. Zhang, F., Zhou, Q., Li, Q.*, Wu, G., & Liu, J.* (2017). An enhanced approach for surface flow routing over drainage-constrained triangulated irregular networks. Transactions in GIS, 22(1), 43-57. http://doi.org/10.1111/tgis.12294

  7. Du, S.*, Zhang, F., & Zhang, X. (2015). Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach. ISPRS Journal of Photogrammetry and Remote Sensing, 105, 107–119. http://doi.org/10.1016/j.isprsjprs.2015.03.011

  8. Guo, Z., Du, S.*, & Zhang, F. (2013). Extracting Municipal Construction Zones from High-Resolution Remotely Sensed Image [基于高分辨率遥感影像的城市建设区提取]. Acta Scientiarum Naturalium Universitatis Pekinensis [北京大学学报(自然科学版)], 49(4), 635-642.

  9. Feng, X., Du, S.*, Zhang, F., & Wang, S. (2013). Urban Land Classification of High Resolution Images Based on Multi-scale Fusion [基于多尺度融合的高分辨率影像城市用地分类]. Geography and Geo-Information Science [地理与地理信息科学], 29(3), 43-47.

  10. Zhang, F., Du, S.*, & Guo, Z. (2013). Extracting municipal solid waste dumps based on high resolution images [应用高分辨率影像的城市固体废弃物提取]. Spectroscopy and Spectral Analysis [光谱学与光谱分析], 33(8), 2024–2030. http://doi.org/10.3964/j.issn.1000-0593(2013)08-2024-07

Conference Papers

  1. Zhou, Q., Zhang, F., & Cheng, L. (2018). A Data-driven Method for the Determination of Water-flow Velocity in Watershed Modelling. Geomorphometry 2018, 13-17 August 2018, Boulder, CO, USA. PeerJ Preprints

  2. Zhang, F., Liu, J. & Zhou, Q. (2017). Random Particle Beam Model and Its Application in Dynamic Simulation of Watershed Runoff Generation and Flow Concentration. Proceedings of 6th National Conference on Virtual Geographic Environment, November 4-5, Chengdu, China.

  3. Zhang, F., Zhou, Q., Li, Q., Wu, G., & Liu, J. (2016). A High-performance method for simulating surface rainfall-runoff dynamics using particle system. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III-2, 109–112. http://doi.org/10.5194/isprsannals-III-2-109-2016

  4. Zhang, F., & Zhou, Q. (2015). Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment. IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium, 110–113. http://doi.org/10.1109/IGARSS.2015.7325710

Oral Presentations

  1. Zhang, F., Liu, J. & Zhou, Q. (2017). Random Particle Beam Model and Its Application in Dynamic Simulation of Watershed Runoff Generation and Flow Concentration. 6th National Conference on Virtual Geographic Environment, November 4-5, Chengdu, China. http://vrlab.org.cn/VGE/index.html

  2. A high-performance method for simulating surface rainfall-runoff dynamics, Presented at the 2016 XXIII International Society for Photogrammetry and Remote Sensing Congress (ISPRS 2016), July 12-19, 2016, Prague, Czech Republic

  3. Low-altitude RS platform for estimating suspended sediment concentration, Presented at the 2015 International Geoscience and Remote Sensing Symposium (IGARSS 2015), July 26-31, 2015, Milan, Italy

  4. Extracting Urban Buildings from High-resolution Images and GIS Data, Presented at the 3rd Global Social Science Graduate Students Conference, November 15-16, 2014, Hong Kong Baptist University, Hong Kong

Poster Presentations

  1. Semantic Classification of Urban Buildings based on Random Forest Model, Presented at the Hong Kong Geography Day 2014, November 22, 2014, The University of Hong Kong, Hong Kong