Hao Xiong

Research Interests

Forests cover about 4200 million hectares of the Earth's surface and are critical for regulating carbon balance and combating climate change. Accurate assessment of forest carbon stocks is vital for achieving carbon neutrality. Despite advancements in remote sensing technology, challenges persist, such as the limited penetration of dense canopies by optical sensors and data saturation issues with microwave sensors. My current research focuses on using satellite-based LiDAR and multi-source satellite data to improve forest assessment.

Education

• Ph.D. candidate in Cartography and Geographic Information Systems, Sun Yat-sen University, Sep 2021 - present
• MSc in Cartography and Geographic Information Systems, Chinese Academy of Forestry, Sep 2018 - Jun 2021
• BSc in Forestry, Huazhong Agriculture University, Sep 2014 - Jun 2018

Publications

• Pan, D., Shao, J., Zhang, S., Zhang, S., Chang, B., Xiong, H., & Zhang, W. 2023. SLAM-based Forest Plot Mapping by Integrating IMU and Self-calibrated Dual 3D Laser Scanners. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2023.3307817.
• Xiong H, Pang Y, Jia W, Li C, 2022. Automatic Extraction of the Sub-compartment Boundary Using Canopy Height Model from Airborne LiDAR Data. Forest Research, 35(2): 28-36. doi: 10.13275/j.cnki.lykxyj.2022.02.004.
• Xiong, H., Pang, Y., Jia, W., & Bai, Y. 2021. Forest Stand Delineation Using Airborne LiDAR and Hyperspectral Data. In Proceedings of the SilviLaser Conference, pp. 216–218.
• Xiong H, Pang Y, Li C, Dai H, 2020. Sub-compartment Division and Interpretation of Tree Species Based on High-resolution Aerial Photos. Forestry Resource Management. 1, 143-150.doi: 10.13466/j.cnki.lyzygl.2020.01.018.
• Chen D, Xiong H, Lin C G, et al. 2018. Clonal integration benefits invasive alien plants under water variability in a native community. Journal of Plant Ecology. 12(3):574-582, DOI: 10.1093/jpe/rty050.