基本介绍
教授，博士生导师，国家级高层次青年人才、德国洪堡资深学者、逸仙优秀学者。担任 Applied Geography副主编、Earth System Science Data期刊主题编委。研究方向为全球城市化遥感监测、过程模拟及可持续评价。在国际知名学术期刊 PNAS, Science Bulletin, Remote Sensing of Environment, Earth System Science Data, Global Change Biology等发表SCI论文百余篇，连续多年荣获科睿唯安“全球高被引科学家”，入选全球2%终身影响力科学家榜单。
学历背景
2012.09-2016.04 清华大学地球系统科学系，获生态学博士学位；
2008.09-2012.06 中山大学地理科学与规划学院，获地理信息系统学士学位；
工作经历
2026.04- 中山大学，教授
2020.10-2026.03 中国农业大学，教授
2016.04-2020.06 Iowa State University(美国)， 博士后
社会任职
Applied Geography副主编，Earth System Science Data 主题编辑
中国地理信息产业协会农业农村地理信息工作委员会副秘书长、北京减灾协会理事
主要科研项目
1. 国家级高层次青年人才项目(2022-2024)
2. 国家自然科学基金青年项目(2022-2024)
2. 国家自然科学基金面上项目(2024-2027; 2026-2029)
4. 国家自然科学基金国际合作研究项目(2024-2027)
5. 国家重点研发计划子课题(2024-2028)
7. 兵团科技计划项目(2023-2025)
论著专利
主要代表性论文:
1. Zhou, Y.#, Li, X.#, Chen, W., Meng, L., Wu, Q., Gong, P., & Seto, K. C. (2022). Satellite mapping of urban built-up heights reveals extreme infrastructure gaps and inequalities in the Global South. Proceedings of the National Academy of Sciences, 119(46), e2214813119. https://doi.org/10.1073/pnas.2214813119
2. Tang, X., Yu, G., Li, X.*, Taubenböck, H., Hu, G., Zhou, Y., Peng, C., Liu, D., Huang, J., Liu, X., & Gong, P. (2025). A flexible framework for built-up height mapping using ICESat-2 photons and multisource satellite observations. Remote Sensing of Environment, 318, 114572. https://doi.org/10.1016/j.rse.2024.114572
3. Liu, S., Li, X.*, Shi, Z., Geng, M., Yu, G., & Hu, T. (2025). Urbanization is projected to increase local surface temperature by 2100. Communications Earth & Environment, 6(1), 988. https://doi.org/10.1038/s43247-025-02947-1
4. Geng, M., Li, X.*, Liu, S., Yu, G., Zhou, Y., & Gong, P. (2025). An efficient method for aurora and noise reduction with a harmonized nighttime light dataset. Remote Sensing of Environment, 328, 114891. https://doi.org/10.1016/j.rse.2025.114891
5. Geng, M., Li, X.*, Mu, H., Yu, G., Chai, L., Yang, Z., Liu, H., Huang, J., Liu, H., & Ju, Z. (2023). Human footprints in the Global South accelerate biomass carbon loss in ecologically sensitive regions. Global Change Biology, 29(20), 5881–5895. https://doi.org/10.1111/gcb.16900
6. Peng, Z., Jiang, D., Li, W., Mu, Q., Li, X.*, Cao, W., Shi, Z., Chen, T., & Huang, J. (2024). Impacts of the scale effect on quantifying the response of spring vegetation phenology to urban intensity. Remote Sensing of Environment, 315, 114485. https://doi.org/10.1016/j.rse.2024.114485
7. Wang, Y., Li, X.*, Yin, P., Yu, G., Cao, W., Liu, J., Pei, L., Hu, T., Zhou, Y., Liu, X., Huang, J., & Gong, P. (2023). Characterizing annual dynamics of urban form at the horizontal and vertical dimensions using long-term Landsat time series data. ISPRS Journal of Photogrammetry and Remote Sensing, 203, 199–210. https://doi.org/10.1016/j.isprsjprs.2023.07.025
8. He, W., Li, X.*, Zhou, Y., Shi, Z., Yu, G., Hu, T., Wang, Y., Huang, J., Bai, T., Sun, Z., Liu, X., & Gong, P. (2023). Global urban fractional changes at a 1km resolution throughout 2100 under eight scenarios of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs). Earth System Science Data, 15(8), 3623–3639. https://doi.org/10.5194/essd-15-3623-2023
9. Li, X., Zhou, Y., Hejazi, M., Wise, M., Vernon, C., Iyer, G., & Chen, W. (2021). Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling. Communications Earth & Environment, 2(1), 201. https://doi.org/10.1038/s43247-021-00273-w
10. Li, X., Zhou, Y., Gong, P., Seto, K. C., & Clinton, N. (2020). Developing a method to estimate building height from Sentinel-1 data. Remote Sensing of Environment, 240, 111705. https://doi.org/10.1016/j.rse.2020.111705
获奖情况
1) 清华大学优秀博士毕业生及优秀博士论文一等奖(2016)
2) 地理信息科技进步奖一等奖(2022, 序3；2024, 序2)
3) 自然资源部卫星海洋环境动力学国家重点实验室“青年访问海星学者” (2022)
4) 清华大学-浪潮集团计算地球科学青年人才奖(2023)
5) 第12届高校GIS论坛“新锐”(2024)
6) 德国洪堡资深学者(2025)
