李晓明，中国科学院空天信息创新研究院，研究员（二级）。海南空天信息研究院执行副院长（主持工作），海南省航天技术创新中心副主任。

    研究方向为海洋遥感，重点开展合成孔径雷达海洋动力与海冰遥感、海洋遥感大数据与人工智能等方面研究。国家杰出青年科学基金获得者，中国科学院“百人计划”（A类）入选者。担任国际数字地球学会中委会数字海洋专委会秘书长，全球首颗可持续发展科学卫星SDGSAT-1科学应用系统副总师，AIRSAT05星首席科学家。

作为项目负责人主持了国家重点研发计划“十三五”海洋环境安全保障、“十四五”深海与极地关键技术和装备重点专项项目、国家自然科学基金、高分专项、海南省重点研发/创新研究团队在内的十余项国家和省部级科研项目。在遥感、海洋和地学国内外高水平期刊发表SCI论文70余篇，授权国家发明和实用新型专利7项，出版专著5部。获得了2021年度海洋科学技术奖一等奖（排名1）。

工作经历:

2020.03-至今      中国科学院空天信息创新研究院    研究员

2014.02-2020.02   中国科学院遥感与数字地球研究所  研究员

2013.02-2014.01   德国宇航中心（DLR）             Research Scientist

2010.01-2013.01   德国宇航中心（DLR）             Young Research Scientist

2006.06-2009.12   德国宇航中心（DLR）             Research Assistant

海洋遥感

（1）基于星载SAR的全球交错涌浪时空分布及其对海洋环境安全影响研究  项目负责人  国家任务（国家自然科学基金青年基金） 2015.01—2017.12

（2）基于星载合成孔径雷达与地基多普勒激光雷达的海洋风力发电机尾流三维多尺度探测研究，项目负责人，国家任务（国家自然科学基金面上项目）2015.01-2018.12

（3）海洋信息资源利用关键技术研究与智慧南海综合服务应用示范，课题负责人，地方任务（海南省重大科技计划），2016.01-2018.12

（4）基于卫星遥感和数值模拟的海南岛东南海域内波研究，项目负责人，国家任务（国家自然科学基金面上项目），2019.01-2022.12

（5）北极环境遥感与数值模拟合作平台建设，项目负责人，国家任务（国家重点研发计划），2018.08-2021.12

（6）合成孔径雷达海洋动力研究，项目负责人，国家任务（国家杰出青年科学基金），2021.01-2025.12

（7）***一体化卫星研制及其航运应用，项目负责人，国家任务（国家重点研发计划），2022.12-2026.11

[1]Qiu, Yujia, Li, XiaoMing* and Guo, Huadong (2022), Spaceborne thermal infrared observations of Arctic sea ice leads at 30 m resolution, The Cryosphere, 17, pp. 2829-2849. 

[2]Qiu, Yujia and Li, XiaoMing* (2022), Retrieval of sea ice drift from the central Arctic to the Fram Strait based on sequential Sentinel-1 SAR data, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3226223

[3]Huang, Bingqing and Li, XiaoMing* (2022), Study on retrievals of ocean wave spectrum by spaceborne SAR in ice-covered areas, Remote Sensing, 14,4086, https://doi.org/10.3390/rs14236086

[4]Li, XiaoMing, et al. (2021), Light from space illuminating the polar silk road, International Journal of Digital Earth, 15:1, pp. 2028-2045. 

[5]Li, XiaoMing, et al. (2021), Pan-Arctic ocean wind and wave data spaceborne SAR, Big Earth Data.

[6]Wang, YiRan and Li, XiaoMing* (2021), Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning, Earth System Science Data, 13, pp.2723-2742. 

[7]Li, XiaoMing, Qin, Tingting and Wu, Ke (2020), Retrieval of sea surface wind speed from spaceborne SAR over the Arctic marginal ice zone with a neural network，Remote Sensing, 12(20),3291, doi: 10.3390/rs12203291

[8]Sun, Yan and Li, XiaoMing*(2021), Denoising Sentinel-1 Extra-Wide Mode Cross-polarization Images over Sea Ice, IEEE Transactions on Geoscience and Remote Sensing，59(3), doi：10.1109/TGRS.2020.3005831  

[9]Li, XiaoMing, Sun, Yan and Zhang, Qiang (2021), Extraction of sea ice cover by Sentinel-1 SAR based on support vector machine with unsupervised generation of training Data, IEEE Transactions on Geoscience and Remote Sensing, 59(4), pp.3040-3053, doi: 10.1109/TGRS.2020.3007789

[10]Li, XiaoMing and Huang, B.Q. (2020), A global sea state dataset from spaceborne synthetic aperture radar wave mode data, Scientific Data, 7, 261, doi: https://doi.org/10.1038/s41597-020-00601-3

[11]Jia Tong, Liang, Jianjun, Li, Xiao-Ming* and Fan, Kaiguo (2019), Retrieval of internal solitary wave amplitude in shallow water by Tandem spaceborne SAR, Remote Sensing, 11(14), 1706, doi: 10.3390/rs11141706 

[12]Liang, Jianjun, Li, XiaoMing*, Sha, Jin, Jia, Tong and Ren, Yongzheng (2019), The lifecycle of nonlinear internal waves in the northwestern South China Sea, Journal of Physical Oceanography, 37(1), pp. 38-46, doi: 10.1175/JPO-D-18-0231.1

[13]Zhang, Tianyu; Li, XiaoMing*; Feng, Qian; Ren,Yongzheng and Shi, Yingni (2019), Retrieval of sea surface wind speeds from Gaofen-3 full polarimetric data, Remote Sensing, 11, 813, doi:10.3390/rs11070813 

[14]Zheng, MingWei, Li, XiaoMing* and Sha, Jin (2019), Comparison of sea surface wind field measured by HY-2A scatterometer and WindSat in global oceans, Journal of Oceanology and Limnology, 37(1), pp. 38- 46, doi: 10.1007/s00343-019-7347-2 

[15]Liang, Jianjun and Li, XiaoMing* (2019), Generation of second-mode internal solitary waves during winter in the northern South China Sea, Ocean dynamics, 69(3), pp.313-321

[16]Li, Xiao-Ming, Zhang, Tianyu, Huang, Bingqing and Jia, Tong (2018), Capabilities of Chinese Gaofen-3 Synthetic Aperture Radar in Selected Topics for Coastal and Ocean Observations, Remote Sensing, 10(12), 1929, doi:10.3390/rs10121929

[17]Jia Tong, Jianjun Liang, Li, XiaoMing* and Jin Sha (2018), SAR observation and numerical simulation of internal solitary wave refraction and reconnection behind the Dongsha Atoll, Journal of Geophysical Research: Oceans, 123, 74-89, doi: https://doi.org/10.1002/2017JC013389

[18]Zhang, ZhiWei and Li, XiaoMing* (2017), Global ship accidents and ocean-swell related sea states, Natural Hazards Earth System Sciences, 17, pp. 2041-2051 

[19]Ren, YongZheng, Li, XiaoMing*, Gao, G. and Busche, Th. (2017), Derivation of sea surface tidal current from spaceborne SAR constellation data, IEEE Transactions on Geoscience and Remote Sensing, 55(6), pp.3236-3247, doi: 10.1109/TGRS.2017.2666086

[20]Li, XiaoMing（2016）, A new insight from space into swell propagation and crossing in the global oceans, Geophysical Research Letters, 43, 5202-5209, doi: 10.1002/2016GL068702

[21]Li, XiaoMing, Jia, T. and Velotto, D. (2016), Spatial and temporal variations of oil spills in the North Sea observed by the satellite constellation of TerraSAR-X and TanDEM-X, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11), pp. 4941- 4947, doi: 10.1109/JSTARS.2016.2519444 

[22]Zhao, Yuan, Li, XiaoMing* and Sha, J. (2016), Sea surface wind streaks in spaceborne synthetic aperture radar imagery, Journal of Geophysical Research: Oceans, 121(9), pp. 6731- 6741, doi:10.1002/2016JC012040

[23]Wang, YiRan and Li,XiaoMing* (2016), Derivation of sea surface wind directions from TerraSAR-X data using the local gradient method, Remote Sensing, 8, 53, doi:10.3390/rs8010053 

[24]Liu, HuiYing, Li,XiaoMing* and Guo, H.D. (2016), The Dynamic Processes of Sea Ice on the East Coast of Antarctica—A Case Study Based on Spaceborne Synthetic Aperture Radar Data from TerraSAR-X, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(3), pp. 1187 – 1198, doi: 10.1109/JSTARS.2015.2497355

[25]Geng, Xiaomeng, Li, XiaoMing*, Velotto, D. and Chen, K.-S. (2016), Study of polarimetric Characteristics of mud flats in an intertidal zone using C- and X-band spaceborne SAR data, Remote Sensing of Environment, 176, 56-68.

[26]Shao, Weizeng, Zhang, Z., Li, XiaoMing and Wang, W. (2016), Sea surface wind speed retrieval from TerraSAR-X HH polarization data using an improved polarization ratio model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11),4991-4997. 

[27]Ren, YongZheng, Li, XiaoMing*, Zhou, Guoqing (2015), Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit. Remote Sensing, 7, pp.3548-3564, doi: 10.3390/rs70403548. 二区

[28]Kuzmic, Milivoj, Grisogono, Branko, Li, XiaoMing and Lehner, Susanne (2015), Examining deep and shallow Adriatic bora events, Quarterly Journal of the Royal Meteorological Society, 141, 3434-3438, doi: 10.1002/qj.2578 

[29]Davolio Silvio, et al. (2015), Exceptional Bora outbreak in winter 2012: Validation and analysis of high-resolution atmospheric model simulations in the northern Adriatic area, Dynamics of atmospheres and oceans, 71, 1-20. 

[30]Li, XiaoMing, Chi, Lequan, Chen, Xueen, Ren, YongZheng and Lehner, Susanne (2014) SAR observation and numerical modeling of tidal current wakes at the East China Sea offshore wind farm. Journal of Geophysical Research - Oceans, 119 (8), pp. 4958-4971. DOI: 10.1002/2014JC009822. ISSN 0148-0227.

[31]Li, XiaoMing and Lehner, Susanne (2014) Algorithm for sea surface wind retrieval from TerraSAR-X and TanDEM-X data. IEEE Transactions on Geoscience and Remote Sensing, 52(5), pp. 2928 - 2939. DOI: 10.1109/TGRS.2013.2267780

[32]Li, XiaoMing and Lehner, Susanne and Bruns, Thomas (2014) Simultaneous Measurements by Advanced SAR and Radar Altimeter on Potential Improvement of Ocean Wave Model Assimilation. IEEE Transactions on Geoscience and Remote Sensing, 52 (5), pp. 2508-2518. DOI: 10.1109/TGRS.2013.2262137. 

[33]Shao, Weizeng, Li, XiaoMing*, Lehner, Susanne and Guan, Changlong (2014) Development of polarization ratio model for sea surface wind field retrieval from TerraSAR-X HH polarization data. International Journal of Remote Sensing, 35 (11-12), pp. 4046-4063. Taylor & Francis. doi: 10.1080/01431161.2014.916059. ISSN 0143-1161. 

[34]Li, XiaoMing and Lehner, Susanne (2013) Observation of TerraSAR-X for studies on offshore wind turbine wake in near and far fields. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (3), pp. 1757-1768. doi: 10.1109/JSTARS.2013.2263577. 

[35]Li, XiaoMing and Lehner, Susanne and Bruns, Thomas (2011) Ocean Wave Integral Parameter Measurements Using Envisat ASAR Wave Mode Data. IEEE Transactions on Geoscience and Remote Sensing, 49 (1), pp. 155-174. doi: 10.1109/TGRS.2010.2052364. ISSN 0196-2892.

[36]Li, XiaoMing and K？nig, Thomas and Schulz-Stellenfleth, Johannes and Lehner, Susanne (2010) Validation and intercomparison of ocean wave spectra inversion schemes using ASAR wave mode data. International Journal of Remote Sensing, 31 (17), pp. 4969-4993. Taylor & Francis. doi: 10.1080/01431161.2010.485222. 

[37]Li, XiaoMing and Lehner, Susanne and Rosenthal, Wolfgang (2010) Investigation of Ocean Surface Wave Refraction Using TerraSAR-X Data. IEEE Transactions on Geoscience and Remote Sensing, 48 (2), pp. 830-840. doi: 10.1109/TGRS.2009.2033177. ISSN 0196-2892

[38]Li, XiaoMing, Li, Xiaofeng and He, MingXia (2009), Coastal upwelling observed by Multi-Satellite Sensors, Science China-Earth Sciences, 52(7), pp.1030-1038, doi:10.1007/s11430-009- 0088-x. 

[39]Li, XiaoMing and Lehner, Susanne and He, Ming-Xia (2008) Ocean wave measurements based on satellite synthetic aperture radar (SAR) and numerical wave model (WAM) data - extreme sea state and cross sea analysis. International Journal of Remote Sensing, 29 (21), pp. 6403-6416. doi: 10.1080/01431160802175546 

（1）中国科学院“百人计划”（A类）

（2）海洋科学技术一等奖，2021，排名第一

（3）海南省高层次人才-领军人才