姓名：李萌萌

职务/职称：讲师

研究领域：冰雪与水资源遥感，遥感大数据分析

邮箱：mmli@zzu.edu.cn

简要经历

2021.05–至今 郑州大学 讲师

2017.09–2021.03 南京大学 博士 地理学

2014.09–2017.07 厦门大学 硕士 物理海洋学

2009.09–2013.07 郑州大学 本科 地理信息系统

主要项目

1.国家自然科学基金青年基金项目，基于深度学习的北极海冰积雪深度多源遥感反演研究，主持

2.第71批中国博士后科学基金面上资助，多源卫星遥感数据协同的北极海冰厚度反演研究，主持

3.国家重点研发计划项目课题，北极海冰卫星遥感信息提取技术，参与

4.国家自然科学基金重点项目，青藏高原东南部冰川储量变化的多源遥感综合观测研究，参与

5.国家自然科学基金，南极海冰反照率的遥感反演及其长期变化趋势，参与

论文

1.Li, M., Ke, C., Cheng, B., Shen, X., He, Y., & Sha, D. (2022). The Roles of Sea Ice Export, Atmospheric and Oceanic Factors in the Seasonal and Regional Variability of Arctic Sea Ice during 1979-2020. Remote Sensing, 14(4), 904.

2.Li, M.,Ke, C. Q., Shen, X., Cheng, B., & Li, H. (2021). Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data. International Journal of Climatology, 41(4), 2509-2527.

3.Li, M.,Ke, C. Q., Xie, H., Miao, X., Shen, X., & Xia, W. (2020). Arctic sea ice thickness retrievals from CryoSat-2: Seasonal and interannual comparisons of three different products. International Journal of Remote Sensing, 41(1), 152-170.

4.Li, H., Ke, C. Q., Zhu, Q.,Li, M., & Shen, X. (2022). A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements. Remote Sensing of Environment, 269, 112840.

5.Li, H., Ke, C., Zhu, Q., Shen, X., &Li, M.(2021). An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016). Acta Oceanologica Sinica, 40(12), 148-160.

6.Peng, H. T., Ke, C. Q., Shen, X.,Li, M.,& Shao, Z. D. (2020). Summer albedo variations in the Arctic sea ice region from 1982 to 2015. International Journal of Climatology, 40(6), 3008-3020.

7.Shen, X., Ke, C. Q., Xie, H.,Li, M., & Xia, W. (2020). A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data. International Journal of Remote Sensing, 41(7), 2789-2806.