个人简介
董春雨博士，中山大学“百人计划”高层次引进人才、教授、博导。主要从事环境遥感方法与技术研发、气候变化与生态水文响应等领域的研究。近年来研究主要围绕：AI赋能的天-空-地多源遥感数据融合技术、卫星遥感-定位观测-数值模型集成应用技术、生态水文遥感算法与数据产品研发、气候变化与极端干旱对植被生态系统的作用机制等。主持和参与国家自然科学基金、国家重点研发计划子课题、广东省自然科学基金等各类科技项目10余项。在Nature旗下Communications Earth & Environment、Remote Sensing of Environment、Sustainable Cities and Society等本领域著名期刊上发表学术论文60余篇，获得国际和国内授权发明专利8项、软件著作权5项。获教育部科学技术进步二等奖、全国水利类青年教师讲课竞赛二等奖、德意志学术交流中心(DAAD)博士论文完成奖等荣誉，2023~2025连续3年入选美国斯坦福大学与爱思唯尔(Elsevier)“全球前2％顶尖科学家榜单”（World's Top 2% Scientists）。现担任中山大学城市水循环与智慧水务实验室、海绵城市与径潮流试验场负责人，兼任《Journal of Plant Ecology》《Research in Cold and Arid Regions》《热带地理》《冰川冻土》等期刊青年编委，曾受邀担任美国航空航天局（NASA）基金会审专家。
Dr Chunyu Dong is currently a Professor at Sun Yat-sen University's School of Civil Engineering. He obtained a PhD in Hydrology and Climatology at Heidelberg University (2016). He has been a Postdoctoral Researcher at the University of California, Los Angeles (UCLA) during 2016-2019. He has a research background in the fields of ecohydrology, hydrological disasters, and hydrological remote sensing. Dr Dong's research seeks to understand the impacts of climate change on the water cycle and terrestrial ecosystems at multiple spatial and temporal scales, using approaches of remote sensing, hydrological modelling, field observations, etc. He has published more than 50 journal articles and is successively named in the World's Top 2% Scientists List, compiled by Stanford University and Elsevier.
教育经历 (Education)：
* 2012–2016，德国海德堡大学，自然地理学（水文学），博士，导师：Lucas Menzel教授
2022-2016, Heidelberg University, Physical Geography (Hydrology), Ph.D., Supervisor: Prof. Dr. Lucas Menzel
* 2008–2011，兰州大学, 地球系统科学，硕士（推免）, 导师：王乃昂教授
2008-2011, Lanzhou University, Earth System Science, M.Sc., Supervisor: Prof. Dr. Naiang Wang
* 2004–2008，兰州大学, 地理科学（国家理科人才基地班），学士
2004-2008, Lanzhou University, Geographic Science, B.Sc.
工作经历（Working Experience）:
* 2025–至今，中山大学土木工程学院，教授、博导
2025-present, Sun Yat-sen University, School of Civil Engineering, Full Professor
* 2019–2025，中山大学土木工程学院，副教授、博导
2019-2025, Sun Yat-sen University, School of Civil Engineering, Associate Professor
* 2023，德国维尔茨堡大学，访问学者
2023, University of Würzburg, Visiting Scholar
* 2018–2019，西北大学，海外特聘专家（兼职）
2018-2019, Northwest University, Adjacent Scientist
* 2016–2019，美国加州大学洛杉矶分校（UCLA），博士后，导师：Glen MacDonald院士
2016-2019, University of California, Los Angeles, Postdoctoral Researcher, Supervisor: Prof. Dr. Glen MacDonald
奖励及荣誉 (Awards & Grants)：
* 第十三届高校GIS论坛优秀教学成果奖，2025；
* 第九届全国水利类青年教师讲课竞赛二等奖，2024；
* 第四届广东省智慧水利创新大赛优秀指导教师，2024；
* 中山大学教学竞赛优秀奖，2024；
* 中山大学土木工程学院教学竞赛一等奖，2024；
* 入选美国斯坦福大学与爱思唯尔(Elsevier)“全球前2％顶尖科学家榜单”(World's Top 2% Scientists)，2023、2024;
* 第二届广东省智慧水利创新大赛优秀指导教师，2022；
* 中山大学优秀辅导员，2022；
* 教育部科学研究优秀成果奖(科学技术)二等奖，排名18/20，2021；
* 首届广东省智慧水务创新大赛优秀指导教师，2021；
* 中山大学锦粤达奖教金，2021；
* 第六届全国积雪遥感学术研讨会学术报告二等奖，2019；
* 德意志学术交流中心(DAAD)博士论文完成奖，2016；
* 德国海德堡大学卓越计划基金(Excellence Initiative)会议旅行资助，2016;
* 秦惠䇹与李政道基金会“䇹政学者”，2007。
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. Dong, C. , Williams, A.P., Abatzoglou, J.T., ..., & MacDonald, G.M. (2022): The season for large fires in Southern California is projected to lengthen in a changing climate. Communications Earth & Environment . 3, 22. https://www.nature.com/articles/s43247-022-00344-6 ( 新闻采访报道： 华盛顿邮报 、 英国卫报 、 合众社 、 国会山报 、 每日公报 、 PhysOrg 、 ScienceSprings 、 KTLA 、 Daily Breeze 、 Sierra Sun Times 、 Mirage News 、 生态与地理速报 、 Hydro90 ) ( Nature旗下期刊 ， Featured Article )
2. Dong, C.* & Menzel, L., (2016): Producing cloud-free MODIS snow cover products with conditional probability interpolation and meteorological data. Remote Sensing of Environment , 186, 439–451. https://doi.org/10.1016/j.rse.2016.09.019 .
3. Dong, C. , Yan, Y., ..., & MacDonald, G.M. (2023): Drought-vulnerable vegetation increases exposure of disadvantaged populations to heatwaves under global warming: A case study from Los Angeles. Sustainable Cities and Society . 93, 104488. https://doi.org/10.1016/j.scs.2023.104488 . ( 新闻采访报道： 英国卫报 、 UCLA Newsroom 、 Daily Bruin 、 SW CASC 、 生态与地理速报 )
4. Yan, Y., Dong, C.* et al. (2025): Divergent urban vegetation inequality in Northern and Sunbelt United States cities under climate extreme events. npj Environmental Social Sciences , DOI: 10.1038/s44432-02S-00001-1.
5. Dong, C.* & Menzel, L., (2016): Improving the accuracy of MODIS 8-day snow products with in situ temperature and precipitation data. Journal of Hydrology , 534, 466–477. https://doi.org/10.1016/j.jhydrol.2015.12.065 .
6. Jiang, D., Dong, C.* et al. (2024): Monitoring saltwater intrusion to estuaries based on UAV and satellite imagery with machine learning models. Remote Sensing of Environment. 308, 114198. https://doi.org/10.1016/j.rse.2024.114198 . （新闻报道： 生态与地理速报 、 生态遥感前沿 ）
7. Luo, J., Dong, C.* , Lin, K.*, ..., & Menzel, L., (2022): Mapping snow cover in forests using optical remote sensing, machine learning and time-lapse photography. Remote Sensing of Environment. 275, 113017. https://doi.org/10.1016/j.rse.2022.113017 . (寒区国际学术交流论坛特邀报告，在线视频： https://mp.weixin.qq.com/s/xW1oOwfebbVPJrMnLk_MlA ) （新闻报道： 生态与地理速报 ）
8. Ma, Z., Dong, C.* et al. (2024): Altitude-dependent responses of dryland mountain ecosystems to drought under a warming climate in the Qilian Mountains, NW China. Journal of Hydrology . 630, 130763. https://doi.org/10.1016/j.jhydrol.2024.130763 .
9. Dong, C. , MacDonald, G. M.*, Willis, K.S. et al., (2019). Vegetation Responses to 2012-2016 Drought in Northern and Southern California. Geophysical Research Letters . 46, 3810–3821. (GRL2019年亮点文章) https://doi.org/10.1029/2019GL082137 .
10. Dong, C.* , (2018): Remote sensing, hydrological modeling and in situ observations in snow cover research: a review. Journal of Hydrology , 561, 573–583. https://doi.org/10.1016/j.jhydrol.2018.04.027 .
11. Tang, R., Qian, L.*, Dong, C.* , & Wang, H. (2025). Integrating the stress day index and an agrometeorological index to evaluate major crop waterlogging events: A cotton case study in the Middle-Lower Yangtze River. Agricultural Water Management, 317, 109613. https://doi.org/10.1016/j.agwat.2025.109613
12. He, K., Chen, X., Xu, C., Zhao, D., Dong, C. , Yu, X., & AghaKouchak, A. (2025). Intensifying risk of tropical cyclone-induced cascading geohazards in China’s highly urbanized coastal regions. Journal of Hydrology, 134132.
13. Xie, X., Lin, K., Xiao, M., Lan, T., Dong, C. , Zhang, J., & Fang, Z. (2025): Estimating the impact of 2D urban landscape patterns on extreme precipitation based on non-stationary models in the Guangdong–Hong Kong–Macao Greater Bay Area, China. Science of The Total Environment , 963 , 178402. https://doi.org/10.1016/j.scitotenv.2025.178402
14. Deng, G., Tang, Z., Dong, C ., Shao, D., & Wang, X. (2024). Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia. Remote Sensing , 16 (1), 192. https://doi.org/10.3390/rs16010192
15. Meng, H., Qian, L., Dong, C ., & Qiu, R, (2024): Assessing cotton flooding disasters accompanied by high temperatures- A case study in the middle and lower reaches of the Yangtze River, China. European Journal of Agronomy . 159, 127296. https://doi.org/10.1016/j.eja.2024.127296
16. Pang, J., Luo, W., Yao, Z., Chen, J., Dong, C ., & Lin, K. (2024). Water Quality Prediction in Urban Waterways Based on Wavelet Packet Denoising and LSTM. Water Resources Management , 38:2399-2420. https://doi.org/10.1007/s11269-024-03774-3
17. Gao, Y., Wang, X., Dong, C ., Ren, J., Zhang, Q., & Huang, Y. (2024). Characteristics and Influencing Factors of Storm Surge-Induced Salinity Augmentation in the Pearl River Estuary, South China. Sustainability , 16 (6), 2254. https://doi.org/10.3390/su16062254
18. MacDonald, G., ..., Dong, C . et al., (2023): Drivers of California’s changing wildfires: a state-of-the-knowledge synthesis. International Journal of Wildland Fire . 32 (7):1039-1058. https://doi.org/10.1071/WF22155
19. Chen, J., Liu, Z., Mao, J., Zhao, T., Tu, T., Cheng, L., & Dong, C . (2023). Co-regulation of water and energy in the spatial heterogeneity of drought resistance and resilience. Environmental Research Letters , 18 (11), 114007. https://doi.org/10.1088/1748-9326/acfccc
20. Gao, X., Lin, K., Liu, M., Dong, C . et al., (2023): Dynamic changes in permafrost distribution over China and their potential influencing factors under climate warming. Science of The Total Environment . https://doi.org/10.1016/j.scitotenv.2023.162624 .
21. Wang, S., Sun, Q. C., Huang, X., Tao, Y., Dong, C ., Das, S., & Liu, Y. (2023). Health-integrated heat risk assessment in Australian cities. Environmental Impact Assessment Review , 102 , 107176. https://doi.org/10.1016/j.eiar.2023.107176 .
22. Wang, X., Qian, L., Dong, C ., & Tang, R. (2023). Evaluating the Impacts of Waterlogging Disasters on Wheat and Maize Yields in the Middle and Lower Yangtze River Region, China, by an Agrometeorological Index. Agronomy , 13 (10), 2590.
23. Ma, Z., Dong, C.* , Lin, K., Yan, Y., Luo, J., Jiang, D., Chen, X. A Global 250-m Downscaled NDVI Product from 1982 to 2018. Remote Sensing . 2022, 14, 3639. https://doi.org/10.3390/rs14153639
24. Madson, A., ..., Dong, C. et al. (2022): A near four-decade time series shows the Hawaiian Islands have been browning since the 1980s. Environmental Management. https://doi.org/10.1007/s00267-022-01749-x .
25. Dong, C.* & Menzel, L., (2020): Recent snow cover changes over central European low mountain ranges. Hydrological Processes , 34, 321–338. https://doi.org/10.1002/hyp.13586 .
26. Lin, K., Chen, H., ..., & Dong, C. , (2020): Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm. Journal of Hydrology , 534, 466–477. https://doi.org/10.1016/j.jhydrol.2020.124696 .
27. Dong, C . * , MacDonald, G., Okin, G., Gillespie, T., (2019): Quantifying Drought Sensitivity of Mediterranean Climate Vegetation to Recent Warming: A Case Study in Southern California. Remote Sensing , 11(24), 2902. https://doi.org/10.3390/rs11242902 .
28. Okin, G.S.*, Dong, C. , Willis, K.S. et al., (2018): The impact of drought on native southern California vegetation: remote sensing analysis using MODIS-derived time series. Journal of Geophysical Research: Biogeosciences , 123, 1927–1939. https://doi.org/10.1029/2018JG004485 .
29. Gillespie, T.W. * , Ostermann-Kelm, S., Dong, C. et al., (2018): Monitoring changes of NDVI in protected areas of southern California. Ecological Indicators , 88, 485–494. https://doi.org/10.1016/j.ecolind.2018.01.031 .
30. Zhang, J., Niu, Z., Sun, J., Dong, C. , & Zhang, L. (2018): Stable isotope analysis of water sources for Tamarix laxa in the mega-dunes of the Badain Jaran Desert, China. Journal of Arid Land, 10(6), 821–832. https://doi.org/10.1007/s40333-018-0069-z .
31. Dong, C.* & Menzel, L., (2017): Snow process monitoring in montane forests with time-lapse photography. Hydrological Processes , 31, 2872–2886. https://doi.org/10.1002/hyp.11229 .
32. Dong, C. , Wang, N. * , Chen, J. et al., (2016): New observational and experimental evidence for the recharge mechanism of the lake group in the Alxa Desert, north-central China. Journal of Arid Environments . 124, 48–61. https://doi.org/10.1016/j.jaridenv.2015.07.008 .
33. Liu, Z. * , Menzel, L., Dong, C. & Fang, R., (2015): Temporal dynamics and spatial patterns of drought and the relation to ENSO: a case study in Northwest China. International Journal of Climatology . 36, 2886–2898. https://doi.org/10.1002/joc.4526 .
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