Jing Liu, Associate Professor
Gender: Female
Hometown: Baoji, Shaanxi, China
Position: Associate Professor, Master's Supervisor, Jiangsu Dual-Innovation Doctor
Professional Profile
Jing Liu serves on several professional committees, including the International Society for Digital Earth (ISDE) LiDAR Committee and Digital Ecology Committee, the Low-Altitude Development and Utilization Working Committee of the Chinese Society for Surveying and Mapping, the Resource Mapping Committee of the Chinese Society of Natural Resources, and the Women in Remote Sensing Committee of the Chinese Association of Remote Sensing Applications. She is a youth editorial board member of Plant Phenomics and serves as reviewer for journals including Remote Sensing of Environment, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, and Agricultural and Forest Meteorology.
Research Directions
- LiDAR Remote Sensing: Algorithm development and applications for multi-scale LiDAR (terrestrial, airborne, spaceborne) including forest surveys, terrain mapping, and urban land cover classification.
- Vegetation Remote Sensing: Quantitative retrieval of forest structural parameters from multi-source remote sensing, virtual forest environment modeling, and applications in forest resource management and terrestrial ecosystem carbon cycling.
- Point Cloud Intelligent Processing: Algorithms for point cloud feature extraction, segmentation, classification, and 3D modeling.
Work Experience
- 2020.07 – Present: Associate Professor, School of Geography, Nanjing Normal University
- 2019.09 – 2020.07: Lecturer, School of Geography, Nanjing Normal University
Education
- 2014.09 – 2019.05: PhD, Natural Resources, ITC, University of Twente, Netherlands
- 2015.09 – 2019.05: PhD, Geospatial Science, RMIT University, Australia
- 2011.09 – 2014.06: MSc, Photogrammetry & Remote Sensing, Peking University
- 2007.09 – 2011.06: BSc, Geographic Information System, Nanjing University
Honors & Awards
- 2025: China LiDAR Young Scientist Award
- 2025: 9th National LiDAR Data Processing Competition, First Prize (Advisor)
- 2025: National University Surveying & Mapping Innovation & Skills Competition, 2nd Prize (Airborne LiDAR Simulation, Advisor)
- 2024: Jiangsu Youth Remote Sensing & GIS Science Award
- 2024: National University Surveying Innovation & Entrepreneurship Competition, 2nd Prize (Advisor)
- 2024: Remote Sensing Journal Travel Award
- 2023: 7th National LiDAR Data Processing Competition, First Prize (Advisor)
- 2023: National University Surveying Teaching Innovation Competition, Special Prize
- 2023: Nanjing Normal University Graduate Cultural & Scientific Activity, Excellent Advisor
- 2020: 9th National College GIS Application Skills Competition, Special Prize (Advisor)
- 2018: Remote Sensing Travel Award
- 2012: 7th China Youth Remote Sensing Debate, Excellent Debater
- 2011: Nanjing University Outstanding Graduate
Main Research Projects
- NSFC General Project 42471418: Combined spaceborne full-waveform and photon-counting LiDAR for forest LAI vertical distribution retrieval (2025–2028), PI
- Jiangsu Basic Research Project BK20241884: Monitoring terrestrial ecosystem GPP combining LiDAR and hyperspectral data (2024–2027), PI
- Key Lab of Remote Sensing Open Fund OFSLRSS202431: Forest LAI vertical distribution retrieval considering canopy aggregation effect (2025–2026), PI
- NSFC Youth Fund 42001284: LAI vertical distribution considering forest canopy structure heterogeneity (2021–2023), PI
- Jiangsu Youth Fund: 3D vegetation distribution in Yangtze Delta (2020–2023), PI
- NNU Talent Project: Ground-based LAI measurement methods using terrestrial LiDAR (2019–2022), PI
- Jiangsu Dual-Innovation Doctor Program, Completed, PI
- NSFC-Xinjiang Joint Fund Key Project: Ecosystem water-socioeconomic-water resource coupling in Tarim River Basin (2021–2024), participant
- Jiangsu University Excellent Innovation Team: Human-Earth System Modeling & Sustainability Assessment (2021–2024), participant
- NSFC General Project 41371329: Change detection based on spatiotemporal probability and decision fusion (2014–2017), participant
Selected Publications
2025
- Han, D., Liu, J.*, et al. Estimation of canopy fAPAR using optical reflectance and airborne LiDAR data. Remote Sensing of Environment, 332, 115065. DOI
- Yang, P., Liu, Z., Han, D., Liu, J.*, et al. Mitigating the black-soil problem in R2F relationship. Remote Sensing of Environment, 330, 114998. DOI
- Zhang, R., Liu, J.*, et al. Ratio of far-red to red leaf SIF and chlorophyll content. Remote Sensing of Environment, 324, 114762. DOI
2024
- Liu, J.*, Wang, J. & Li, L.* Vectorized solar PV dataset across China. Scientific Data, 11, 1446. DOI
2023
- 7th National LiDAR Data Processing Competition, First Prize (Advisor)
2022
- Airborne LiDAR open DEM evaluation. J. Wuhan Univ. Info. Sci.. DOI
2021
- Comparative evaluation of LAI estimation from digital hemispherical photography. Remote Sensing, 13(16), 3325. DOI
Patents & Software
- Ground-based LiDAR forest LAI retrieval method, ZL 2024 1 1672312.7, granted
- Spaceborne LiDAR vertical structure-based plantation extraction, ZL 2024 1 1672302.3, granted
- Airborne point cloud-based large-scale building PV potential calculation, CN118570023A, published
- Building height extraction using spaceborne LiDAR & high-res imagery, CN120314971A, published
- Point cloud semantic segmentation using local & long-distance context, CN118135212A, published
- Vegetation dynamic reflectance considering environment & physiology, CN118866149A, published
- Fine PV plant extraction using GEE & SAM model, CN120580604A, published