李欢

联系邮箱：huan.li@pku.edu.cn

Research gate: https://www.researchgate.net/profile/Huan_Li29

教育经历：

工作经历：

项目经历

（1） 中国国家自然科学基金青年基金，41901346，基于测高卫星的环南极海冰关键参数反演及其时空变化研究，2020/01-2022/12。

（2）  中国博士后科学基金，2019M650348，基于ICESat的南极海冰厚度体积高精度反演及其时空变化，2019/06-2022/09。

（3）  十三五国家重点研发计划项目子课题，2018YFC1506504，全球主要气象灾害卫星遥感数据集构建，2018/12-2021/12。

（4）  国家重点研发计划，2012AA121401，时空过程模拟与实时GIS系统，2011/11-2016/10。

获奖经历：

2010/2013/2015：第二届“全国遥感与地理信息研究生论坛”优秀论文奖

2015：武汉大学地理空间信息协同创新中心优秀博士生奖学金

2017：清华大学土木水利学院第七届青年教师教学比赛二等奖

2018/2021：北京大学遥感所年度最佳论文奖

2019：Google User Summit "The most likely to publish" group prize

社会职务： 担任国际顶刊审稿人，包括Remote Sensing of Environment, The Cryosphere, Earth System Science Data, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters等。

在国内外发表的成果

• 1. 李欢, 万玮* 等(2022). 我国卫星遥感地表水资源监测能力分析与展望.遥感学报 (EI, 已接收)

• 2. Geng, X., Li, H.*, et al. (2022), ‘Potential of ANN for Prolonging Remote Sensing-based Soil Moisture Products for Long-term Time Series Analysis’, IEEE Geoscience and Remote Sensing Letters, (Corresponding author,IF: 3.97, Q1/2)

• 3. Xu, Y., Li, H.*, et al. (2021), ‘Deriving Antarctic Sea-Ice Thickness from Satellite Altimetry and Estimating Consistency for NASA's ICESat/ICESat-2 Missions’,Geophysical Research Letters, 48, e2021GL093425, doi:https://doi.org/10.1029/2021GL093425  (Corresponding author, IF: 4.7, Q1)

• 4. Li, H., et al. (2021). "A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine." Journal of Hydrology 603: 126934. (IF: 5.7, Q1)

• 5. Li, H., Wan, W., Hong, Y., et al. (2019), "A Google Earth Engine-Enabled Software for Efficiently Generating High-Quality User-Ready Landsat Mosaic Images." Environmental Modelling & Software 112 (IF: 5.3, Q1)

• 6. Li, H., Xie, H., Kern, S., Wan, W., Ozsoy, B., Ackley, S., Hong, Y. (2018), "Spatio-temporal variability of Antarctic sea-ice thickness and volume obtained from ICESat data using an innovative algorithm." Remote Sensing of Environment 219: 44-61. (IF: 10.16, Q1)

• 7. Fang, Y., Li, H.#, Wan, W., Zhu, S., Wang, Z., Hong, Y., et al. (2019). "Assessment of Water Storage Change in China’s Lakes and Reservoirs over the Last Three Decades." Remote Sensing 11(12): 1467. (Co-first author, IF: 4.8 Q2)

• 8. Li, H., Fan, H., Li, J. and Chen, N. (2016). "Pull-Based Modeling and Algorithms for Real-Time Provision of High-Frequency Sensor Data from Sensor Observation Services." ISPRS International Journal of Geo-Information 5(4): 51. (IF: 2.9 Q2)

• 9. Li, H., Fan, H. and Mao, F. (2016). "A Visualization Approach to Air Pollution Data Exploration—A Case Study of Air Quality Index (PM2.5) in Beijing, China." Atmosphere 7(3): 35. (IF: 2.7 Q3)

• 10. Li, H., Zeng, C., Wan, W., Hong, Y., et al. (2019), “A Remote Sensing-based Vacancy Area Index for Estimating Housing Vacancy and Ghost Cities in China,” IEEE Geoscience and Remote Sensing Symposium (EI)

• 11. Li H., C. Zeng, W. Wan, Y. Cui, Y. Hong and W. Fan (2019). A Remote Sensing-based Vacancy Area Index for Estimating Housing Vacancy and Ghost Cities in China. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, IEEE. (EI)

• 12. Li, H., Hong, Y., Zeng, C. (2018). “Can Crowdsourcing Support Remote Sensing Image Classification?”, The 26th International Conference on GeoInformatics, 2018. (EI)

• 13. Fan, H., Li, H.* (2015). "An on-demand provision model for geospatial multisource information with active, self-adaption services, " in 2015 SPIE Ninth International Symposium on Multispectral Image Processing and Pattern Recognition: 98150B-98150B-8. (Corresponding author, EI)

• 14. Li, H., Fan, H., Wu, H.Y., Feng, H. and Li, P.P. (2014). "ReSDaP: A Real-Time Data Provision System Architecture for Sensor Webs," In 2014 Web and Wireless Geographical Information Systems, Springer: 85-99. (EI)

• 15. 李欢, 樊红, 冯浩. 3D GIS环境下雨雪天气实时仿真[J]. 中国图象图形学报,2012,12:1548-1553 (CSCD)