Ms. Wang Shufan

Academic Qualifications

PhD candidate in Surveying and Mapping science and technology, Tongji University, China

BSc in Geographic Information Science, Henan Polytechnic University, China

Research areas

LiDAR, Urban forest; Carbon stock; Forest biomass

Research interests

Shufan's study aims to estimate carbon stocks in urban forests, thus helping people to understand the gap between the current state of urban carbon and the carbon balance. Her research focuses on the current status of urban forest height, species and biomass in Shanghai.

Biography

Shufan is a PhD candidate at Tongji University. She joined the Center for Nature-Based Climate Solutions with a scholarship from Tongji University. In her PhD, she is working on developing a process framework for estimating carbon stocks in urban forests and taking the example of Shanghai, a mega-city in China, to study the current distribution of carbon stocks in the city.

Selected publications:

• Wang, S., Liu, C., Li, W., Jia, S., & Yue, H. (2023). Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery. International Journal of Applied Earth Observation and Geoinformation, 122, 103431
• Wang, S., Liu, C., Wu, H., Li, W. (2023). Urban Tree Species Classification Combining Spaceborne LiDAR and Multispectral Imagery.

Conference and presentations:

1. “ESTIMATING TREE CANOPY HEIGHT IN DENSELY FOREST-COVERED MOUNTAINOUS AREAS USING GEDI SPACEBORNE FULL-WAVEFORM DATA.”. 2022, International Society for Photogrammetry and Remote Sensing Conference.
2. “Urban forest canopy height modeling using spaceborne laser ICESAT-2 LIDAR”. 2022, The 2^nd China Digital Earth Conference.