个人简介

李同文，中山大学测绘科学与技术学院副教授、硕士生导师，主要从事大气环境遥感理论方法及应用研究，在GRL、npj CAS、RSE、ISPRS P&RS、IEEE TGRS等期刊发表SCI论文50余篇。2023–2024年连续入选斯坦福大学全球前2%科学家榜单，获得地理信息科技进步一等奖（2024）、“中国百篇最具影响国际学术论文”（2021）等奖励与荣誉。主持国家自然基金青年项目、广东省自然基金面上项目、广东省区域联合基金青年项目等。担任Frontiers in Remote Sensing副编辑（Associate Editor），Journal of Geography and Cartography编委等。指导本科生国家级大创项目，获全国大学生测绘学科创新创业智能大赛一等奖，以第一作者发表ISPRS P&RS论文，指导2名硕士生获国家奖学金。

 

个人主页

https://tongwenli.github.io/

 

教育经历

2011.09~2015.06，武汉大学，地理信息系统，学士

2015.09~2020.06，武汉大学，地图制图学与地理信息工程，博士

 

工作经历

2020.09~2024.04，中山大学测绘科学与技术学院，助理教授

2024.04~至今，     中山大学测绘科学与技术学院，副教授

 

主要科研成果

  1. Li, Tongwen*; Wu, Jingan*; Wang, Yuan; Su, Yuenong. Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework, npj Climate and Atmospheric Science, 2025, 8, 124.

  2. Li, Tongwen*; Wang, Yuan; Wu, Jingan. Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability, npj Climate and Atmospheric Science, 2024, 7, 138.

  3. Wu, Jingan; Li, Tongwen*; Lin, Liupeng; Zeng, Chao. Progressive gap-filling in optical remote sensing imagery through a cascade of temporal and spatial reconstruction models, Remote Sensing of Environment, 2024, 311, 114245.

  4. Chen, Jiabin; Hu, Ruohua; Chen, Leyan; Liao, Zihao; Che, Linlin; Li, Tongwen*. Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 208, 107-120.

  5. Yang, Hongji; Li, Tongwen*; Wu, Jingan; Zhang, Lingfeng. Inter-comparison and evaluation of global satellite XCO2 products. Geo-spatial Information Science, 2023, 1-14.

  6. Jin, Caiyi; Yuan, Qiangqiang*; Li, Tongwen*; Wang, Yuan; Zhang, Liangpei. An optimized semi-empirical physical approach for satellite-based PM2.5 retrieval: embedding machine learning to simulate complex physical parameters. Geoscientific Model Development, 2023, 16, 4137-4154.

  7. Li, Tongwen; Wu, Jingan; Wang, Tianxing. Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data. Science of The Total Environment, 2023, 893, 164921.

  8. Zhang, Lingfeng; Li, Tongwen*; Wu, Jingan; Yang, Hongji. Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data. Environment International, 2023, 178, 108057.

  9. Wu, Jingan; Lin, Liupeng; Zhang, Chi; Li, Tongwen*; Cheng, Xiao*; Nan, Fang. Generating Sentinel-2 all-band 10-m data by sharpening 20/60-m bands: A hierarchical fusion network. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 196, 16-31.

  10. Li, Tongwen; Yang, Qianqian; Wang, Yuan; Wu, Jingan. Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network. Geoscience Frontiers, 2023, 101499.

  11. Zhang, Lingfeng; Li, Tongwen*; Wu, Jingan*. Deriving gapless CO2 concentrations using a geographically weighted neural network: China, 2014–2020. International Journal of Applied Earth Observation and Geoinformation, 2022, 114, 103063.

  12. Li, Tongwen; Wu, Jingan; Chen, Jiajia; Shen, Huanfeng. An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, Art no. 4108813, 1-13.

  13. Yin, Shunchao; Li, Tongwen*; Cheng, Xiao*; Wu, Jingan. Remote sensing estimation of surface PM2.5 concentrations using a deep learning model improved by data augmentation and a particle size constraint. Atmospheric Environment, 2022, 287, 119282.

  14. Li, Tongwen; Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Liangpei. A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM2.5. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, Art no. 4102513, 1-13.

  15. Li, Tongwen; Cheng, Xiao. Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach. International Journal of Applied Earth Observation and Geoinformation, 2021, 101, 102356.

  16. Li, Tongwen; Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Liangpei. Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 167, 178-188.

  17. Li, Tongwen; Shen, Huanfeng; Zeng, Chao; Yuan, Qiangqiang. A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, 1312-1321.

  18. Yang, Qianqian; Yuan, Qiangqiang*; Yue, Linwei; Li, Tongwen*; Shen, Huanfeng; Zhang, Liangpei. Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 165, 140-151.

  19. Wang, Yuan; Yuan, Qiangqiang*; Li, Tongwen*; Shen, Huanfeng; Zheng, Li; Zhang, Liangpei. Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 157, 1-12.

  20. Li, Tongwen; Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Xuechen; Zhang, Liangpei. Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach. Geophysical Research Letters, 2017, 44, 11,985-911,993.

  21. Li, Tongwen; Shen, Huanfeng; Zeng, Chao; Yuan, Qiangqiang; Zhang, Liangpei. Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: Methods and assessment. Atmospheric Environment, 2017, 152, 477-489.

  22. Wang, Yuan; Yang, Yuanjian; Yuan, Qiangqiang; Li, Tongwen; Zhou, Yi; Zong, Lian; Wang, Mengya; Xie, Zunyi; Ho, Hung Chak; Gao, Meng; Tong, Shilu; Lolli, Simone; Zhang, Liangpei. Substantially underestimated global health risks of current ozone pollution, Nature Communications, 2025, 16, 102.

  23. Yuan, Qiangqiang; Shen, Huanfeng; Li, Tongwen; Li, Zhiwei; Li, Shuwen; Jiang, Yun; Xu, Hongzhang; Tan, Weiwei; Yang, Qianqian; Wang, Jiwen; Gao, Jianhao; Zhang, Liangpei. Deep learning in environmental remote sensing: Achievements and challenges. Remote Sensing of Environment, 2020, 241, 111716.

  24. 陈戴荣，崔玉祥，苏悦侬，吴金橄，李同文*. 考虑周期性的深度学习臭氧预测模型研究. 环境监控与预警, 2023, 15, 21-28.

  25. 沈焕锋, 李同文*. 大气PM2.5遥感制图研究进展. 测绘学报,2019 48, 1624.

 

科研项目

  1. 国家自然基金青年项目，2023.01-2025.12，主持

  2. 广东省自然基金面上项目，2022.01-2024.12，主持

  3. 广东省区域联合基金（青年）项目，2021.10-2024.09，主持

  4. 中央高校基本科研业务费青年教师培育项目，2024.01-2024.12，主持

  5. 资源与环境信息系统国家重点实验室开放基金，2020.12-2022.12，主持

 

奖励荣誉

  1. 地理信息科技进步一等奖（2024）
  2. 中国百篇最具影响国际学术论文（2021）
  3. JGR-Atmospheres年度Top Downloaded Paper（2020）
  4. 《遥感学报》年度优秀论文（2023）
  5. 《环境监控与预警》优秀审稿专家（2024）
  6. 学院教学竞赛一等奖（2020）、二等奖（2022）、三等奖（2024）

 

教学与人才培养

  1. 大创项目：指导国家级/校级大创项目5项，均已完成结题（3项获评“优秀”结题），项目成果发表ISPRS P&RS等高水平期刊论文。

  2. 学生获奖：指导本科生获全国大学生测绘学科创新创业智能大赛一等奖（2023）、省级社会调研大赛优胜奖（2020）、亚太地区数学建模竞赛三等奖（2024）、院级优秀本科毕业论文2篇（2023，2024）；指导2名硕士研究生获国家奖学金。