王笑蕾简介

发布时间:2021-06-08浏览次数:12146文章来源:地学院

姓名

王笑蕾

性别



民族

出生日期

1991

政治面貌

中共党员

执教时间

2018.11

学历

博士

学位

博士

现任职务

 

技术职称

副教授/博导

通信地址

江苏省南京市江宁区佛城西路8号地球科学与工程学院

邮编

211100

电话


Email

gnsswxl@hhu.edu.cn

手机


王笑蕾,副教授、博士生导师、硕士生导师。欢迎具有测绘、遥感等专业背景的优秀学子报考博士/硕士研究生开展GNSS和遥感技术交叉研究

研究方向:主攻GNSS遥感方向,重点开展GNSS-R/GNSS-IR水环境遥感监测理论、方法与应用研究。围绕复杂观测环境下反射信号机理不清、误差源多源耦合、反演精度与可靠性不足等问题,提出并发展了GNSS多模多频融合潮位监测理论与方法框架。

科研项目:主持各类纵向、横向科研课题20余项,包括国家自然科学基金面上项目、国家自然科学基金青年项目、江苏省自然科学基金青年项目等。

奖励荣誉:获高等学校科学研究优秀成果奖二等奖、陕西省优秀博士论文、中国卫星导航定位协会优秀青年人才Committee on Space Research(空间研究委员会)青年科学家杰出论文奖等,入选河海大学大禹学者计划、江苏省高等学校科学技术协会青年科技人才培育计划等。

学术成果:累计发表各类高水平学术论文60余篇,以第一/通讯作者发表期刊论文36篇;其中,以第一/通讯作者发表中科院一区SCI期刊论文18篇。

代表作:

[1] X. Wang, Y. Nan, X. Yang, T. Liao, and X. He, “GNSS-IR scattering model considering sea surface wind direction and its application,” IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 1–8, Art. no. 5801108, 2026, doi: 10.1109/TGRS.2026.3687507.

[2] X. Wang, Y. Nan, M. Song, and X. He, “Incoherent GNSS-IR model and its application in wind speed retrieval,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1–8, Art. no. 5803208, 2024, doi: 10.1109/TGRS.2024.3505604.

[3] X. Wang, X. He, J. Shi, S. Chen, and Z. Niu, “Estimating sea level, wind direction, significant wave height, and wave peak period using a geodetic GNSS receiver,” Remote Sensing of Environment, vol. 279, Art. no. 113135, 2022, doi: 10.1016/j.rse.2022.113135.

[4] X. Wang, X. He, R. Xiao, M. Song, and D. Jia, “Millimeter to centimeter scale precision water-level monitoring using GNSS reflectometry: Application to the South-to-North Water Diversion Project, China,” Remote Sensing of Environment, vol. 265, Art. no. 112645, 2021, doi: 10.1016/j.rse.2021.112645.

[5] X. Wang, M. Song, X. He, and T. Zhang, “Enhancing sea level inversion accuracy with a novel phase-based error correction method and multi-GNSS combination approach,” GPS Solutions, vol. 29, Art. no. 34, 2025, doi: 10.1007/s10291-024-01788-3.

[6] X. Wang, W. Yong, and X. He, “Geometric model of GNSS-MR snow depth retrieval under terrain slope and undulation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, Art. no. 5804087, 2025, doi: 10.1109/TGRS.2025.3584087.

[7] X. Wang, M. Song, and X. He, “Correction method for scale bias in GNSS-IR sea level retrieval,” GPS Solutions, vol. 29, Art. no. 162, 2025, doi: 10.1007/s10291-025-01924-7.

[8] W. Yong, X. Wang, J. Tu, and Y. Gao, “Analysis of hydrological time-lag effects using multiple GNSS techniques: GNSS-R-retrieved soil moisture, GNSS-derived coordinates, and GNSS-based water vapor data,” GPS Solutions, vol. 29, Art. no. 193, 2025, doi: 10.1007/s10291-025-01954-1.(通讯)

[9] R. Tu, X. Wang, N. Xu, J. Han, T. Wang, W. Wang, F. Zhao, Bayindalai, and G. M. Shonazarovich, “Integrated study of water levels and water storage variations using GNSS-MR and remote sensing: A case study of Sarez Lake, the world’s highest-altitude dammed lake,” International Journal of Applied Earth Observation and Geoinformation, vol. 129, Art. no. 103854, 2024.(通讯)

[10] X. Wang, X. He, and Q. Zhang, “Evaluation and combination of quad-constellation multi-GNSS multipath reflectometry applied to sea level retrieval,” Remote Sensing of Environment, vol. 231, Art. no. 111229, 2019, doi: 10.1016/j.rse.2019.111229.






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