Wanben Wu


Wanben Wu
Ph.D. student

Department of Urban and Environmental Sociology

Working group Geomatics

Helmholtz Centre
for Environmental Research − UFZ
Permoserstr. 15
04318 Leipzig, Germany

Phone: ++49 - 1522 - 6426636

WeChat: RasterbenWeChat



Research Areas

The main focus is on urban ecological research using earth observation big data and the social-economic data. His current research interests are exploring urban grey-green facility changes, drivers and their impact on urban ecosystems and urban microclimates. Specifically, these include the following:

  • Refined 3D urban grey-green facility mapping
  • Monitoring and simulation of global urbanization and afforestation
  • Ecosystem services modeling and mapping
  • Impact of urbanization on urban microclimate

Curriculum Vitae

11/2021 − 11/2022

Visiting  Ph.D. student (funded by China Scholarship Council) in the Department of Urban and Environmental Sociology at the UFZ

Field of study: Refined assessment and mapping of urban ecosystem services based on multi-source remote sensing data.

Supervisor:Dr. Ellen Banzhaf.

09/2019 − 06/2023

Ph.D. student in Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China

Field of study: Patterns, drivers and implications of urban grey-green facilities changesin the context of urbanization and afforestation in China.

09/2016 − 06/2019

Master student in School of Geographic Sciences, East China Normal University, Shanghai, China

Field of study: Meteorology disaster modeling and mapping



  • Wu, W. B., Ma, J., Meadows, M. E., Banzhaf, E., Huang, T. Y., Liu, Y. F., & Zhao, B. (2021). Spatio-temporal changes in urban green space in 107 Chinese cities (1990–2019): The role of economic drivers and policy. International Journal of Applied Earth Observation and Geoinformation, 103, 102525.

full text (doi)

  • Banzhaf, E., Wu, W. B., Luo, X. Y., & Knopp, J. (2021). Integrated Mapping of Spatial Urban Dynamics—A European-Chinese Exploration. Part 1—Methodology for Automatic Land Cover Classification Tailored towards Spatial Allocation of Ecosystem Services Features. Remote Sensing, 13(9), 1744.

full text (doi)

  • Wei, S. Y., Chen, Q. J., Wu, W. B., & Ma, J. (2021). Quantifying the indirect effects of urbanization on urban vegetation carbon uptake in the megacity of Shanghai, China. Environmental Research Letters, 16(6), 064088.

full text (doi)


  • Xu, J. X., Ma, J., Tang, Y. N., Wu, W. X., Shao, J. H., Wu, W. B., & Guo, H. Q. (2020). Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data. Remote Sensing, 12(17), 2823.

full text (doi)

  • Liu, Y. F., Ma, J., Wang, X. X., Zhong, Q. Y., Zong, J. M., Wu, W. B., & Zhao, B. (2020). Joint Effect of Spartina alterniflora Invasion and Reclamation on the Spatial and Temporal Dynamics of Tidal Flats in Yangtze River Estuary. Remote Sensing, 12(11), 1725.

full text (doi)


  • Wu, W. B., Wang, W., Meadows, M. E., Yao, X. F., & Peng, W. (2019). Cloud-based typhoon-derived paddy rice flooding and lodging detection using multi-temporal Sentinel-1&2. Frontiers of Earth Science, 13(4), 682-694.

full text (doi)