中国科学院大学个人主页：https://people.ucas.ac.cn/~htduan

研究领域及方向：具有鲜明交叉学科特色，主要涵盖三个层面：（1）遥感科学：发展水环境、水生态的新型遥感监测机理、信息提取算法与反演模型；（2）生态科学：聚焦水生态系统碳循环等关键生物地球化学过程的遥感监测与模型模拟；（3）地理信息科学：研发多源地理大数据智能分析平台、模拟系统及其在智慧流域中的应用。

欢迎具有遥感、GIS、水文/生态模型、计算机编程等任一背景同学加入，尤其鼓励有志于跨学科融合创新的同学报考。

团队公众号：

简历：

    现任中国科学院南京地理与湖泊研究所研究员、遥感与地理信息科学研究室主任，兼任青年地学论坛副理事长、湖泊国家工程实验室副主任等职务，同时担任《International Journal of Applied Earth Observation and Geoinformation》等7个国内外高水平期刊编委；主持国家自然科学基金杰青/联合重点/国际合作等国家级项目10余项，以第一/通讯作者在The Innovation、Nature Communications、Remote Sensing of Environment等期刊发表SCI论文90余篇，连续入选“全球前2%科学家榜单”。曾获教育部“青年长江学者”、中国科学院青促会优秀会员、中国科学院院长特别奖等荣誉。研究成果广泛应用于太湖、巢湖、滇池等全国重点湖库，获省部级科技一等奖4项；部分成果入选外交部《中国落实2030年可持续发展议程国别自愿陈述报告》并在联合国高级别政治论坛发布，亦被纳入科技部全球湖泊遥感监测报告，作为7套全球水资源数据产品之一提交联合国，具有良好的国际影响力。

近五年代表性论著：

[1]  Luo, J., Duan, H., Xu, Y., Shen, M., Zhang, Y., Xiao, Q., Ni, G., Wang, K., Xin, Y., Qi, T., Feng, L., Qiu, Y., Jeppesen, E., & Woolway, R.I. (2025). Global trends and regime state shifts of lacustrine aquatic vegetation. The Innovation, 100784

[2]  Duan, H., Cao, Z., Luo, J., & Shen, M. (2025). AI-driven opportunities and challenges in lake remote sensing. Information Geography, 1, 100014

[3]  Liu, D., Shi, K., Chen, P., Yan, N., Ran, L., Kutser, T., Tyler, A.N., Spyrakos, E., Woolway, R.I., Zhang, Y., & Duan, H.* (2024). Substantial increase of organic carbon storage in Chinese lakes. Nature Communications, 15, 8049

[4]  Duan, H., Xiao, Q., & Qi, T. (2023). Measuring lake carbon dioxide from space: Opportunities and challenges. The Innovation Geoscience, 100025

[5]  Liu, D., Shi, K., Yan, N., Spyrakos, E., Tyler, A.N., Iestyn Woolway, R., & Duan, H. (2025). New insights on carbon forms in China’s rivers and lakes. Science Bulletin, 70, 1775-1778

[6]  Xiao, Q., Xu, X., Qi, T., Luo, J., Lee, X., Duan, H. (2024). Lakes shifted from a carbon dioxide source to a sink over past two decades in China. Science Bulletin, 69:1857-1861

[7]  Cao, Z., Duan, H., Ma, R., Shen, M., & Yang, H. (2023). Remarkable effects of greening watershed on reducing suspended sediment flux in China’s major rivers. Science Bulletin, 68, 2285-2288

[8]  Cao, Z., Shen, M., Kutser, T., Liu, M., Qi, T., Ma, J., Ma, R., & Duan, H. (2022). What water color parameters could be mapped using MODIS land reflectance products: A global evaluation over coastal and inland waters. Earth-Science Reviews, 104154

[9]  Duan, H., Xiao, Q., Qi, T., Hu, C., Zhang, M., Shen, M., Hu, Z., Wang, W., Xiao, W., Qiu, Y., Luo, J., & Lee, X. (2023). Quantification of Diffusive Methane Emissions from a Large Eutrophic Lake with Satellite Imagery. Environmental Science & Technology, 57, 13520-13529

[10]  Qi, T., Xiao, Q., Cao, Z., Shen, M., Ma, J., Liu, D., & Duan, H. (2020). Satellite estimation of dissolved carbon dioxide concentrations in China’s Lake Taihu. Environmental Science & Technology, 54, 13709-13718

[11]  Qiu, Z., Liu, D*., Yan, N., Yan, Y., Yang, C., Zhang, C., & Duan, H. (2025). Landsat and dual random forest modelling reveal sediment fining in the Yellow River shaped by ecological restoration on China's loess plateau. Remote Sensing of Environment, 330. https://doi.org/10.1016/j.rse.2025.114994.

[12]  Qiu, Z., Liu, D*., Duan, M., Chen, P., Yang, C., Li, K., & Duan, H. (2024). Four-decades of sediment transport variations in the Yellow River on the Loess Plateau using Landsat imagery. Remote Sensing of Environment, 306, 114147

[13]  Luo, J., Ni, G., Zhang, Y., Wang, K., Shen, M., Cao, Z., Qi, T., Xiao, Q., Qiu, Y., Cai, Y., & Duan, H. (2023). A new technique for quantifying algal bloom, floating/emergent and submerged vegetation in eutrophic shallow lakes using Landsat imagery. Remote Sensing of Environment, 287, 113480

[14]  Qi, T., Shen, M., Kutser, T., Xiao, Q., Cao, Z., Ma, J., Luo, J., Liu, D., & Duan, H. (2023). Remote sensing of dissolved CO2 concentrations in meso-eutrophic lakes using Sentinel-3 imagery. Remote Sensing of Environment, 286, 113431

[15]  Liu, D., Yu, S., Xiao, Q., Qi, T., & Duan, H. (2021). Satellite estimation of dissolved organic carbon in eutrophic Lake Taihu, China. Remote Sensing of Environment, 264, 112572

[16]  Shen, M., Duan, H., Cao, Z., Xue, K., Qi, T., Ma, J., Liu, D., Song, K., Huang, C., & Song, X. (2020). Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation. Remote Sensing of Environment, 247, 111950

[17]  Ma, J., Duan, H., Chen, C., Cao, Z., Shen, M., Qi, T., & Chen, Q. (2025). Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches. Water Research, 271, 122889

[18]  Tan, Z., Simis, S.G.H., Yang, C., Shen, M., Li, J., & Duan, H. (2025). Revealing two decades of chlorophyll-a dynamics in arid oligotrophic lakes of Xinjiang, China using a deep recurrent approach. Water Research, 285, 124058

[19]  Shen, M., Cao, Z., Xie, L., Zhao, Y., Qi, T., Song, K., Lyu, L., Wang, D., Ma, J., & Duan, H. (2023). Microcystins risk assessment in lakes from space: Implications for SDG 6.1 evaluation. Water Research, 245, 120648

[20]  Liu, D., Sun, Z., Shen, M., Tian, L., Yu, S., Jiang, X., & Duan, H. (2023). Three-dimensional observations of particulate organic carbon in shallow eutrophic lakes from space. Water Research, 229, 119519

[21]  Xiao, Q., Xu, X., Duan, H., Qi, T., Qin, B., Lee, X., Hu, Z., Wang, W., Xiao, W., & Zhang, M. (2020). Eutrophic Lake Taihu as a significant CO2 source during 2000–2015. Water Research, 170, 115331

[22]  Xiao, Q., Duan, H., Qin, B., Hu, Z., Zhang, M., Qi, T., & Lee, X. (2022). Eutrophication and temperature drive large variability in carbon dioxide from China's Lake Taihu. Limnology and Oceanography, 67, 379-391