Wang Ruoqi
Academic Qualifications
Ph.D. student in Cartography and Geographic Information System, Fujian Normal University, China
B.Sc. in Physical Geography and Resources Environment, Fujian Normal University, China
Research Areas
Forest biomass estimation; Remote sensing; Spaceborne LiDAR
Research Interests
My research interests lie in forest remote sensing, with a focus on canopy height retrieval and aboveground biomass estimation in subtropical China's plantations, secondary and natural forests, including optimizing algorithms for large-area canopy-height extraction using spaceborne LiDAR and developing region-to-national biomass modelling with multi-source data.
Biography
Wang is a PhD student at Fujian Normal University. She joined the Centre for Nature-Based Climate Solutions with a scholarship from China Scholarship Council.
Selected publications
- Ruoqi Wang, Guiying Li, Yagang Lu & Dengsheng Lu (2023). A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data. Geo-spatial Information Science
- Ruoqi Wang, Yagang Lu, Dengsheng Lu & Guiying Li (2024). Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions.GIScience & Remote Sensing
- Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Lia & Wenjing Liu (2025). Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region. Smart Agricultural Technology
- Dengsheng Lu, Xiandie Jiang, Yunhe Li, Ruoqi Wang & Guiying Li (2025). Forest biomass estimation with LiDAR data. National Remote Sensing Bulletin