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王怡然
wangyr@sustech.edu.cn
个人主页

王怡然，南方科技大学助理教授。2015年于中国海洋大学取得学士学位，2020年于香港理工大学取得博士学位，随后在香港理工大学先后担任博士后和研究助理教授职位。2023年2月加入南方科技大学。主要从事行星遥感方面的研究，以“智能算法-数据产品-科学发现”为研究体系，利用人工智能技术对行星地貌进行识别，建立数据库，进而分析阐明行星表面地质环境等科学问题。自2017年起参与我国深空探测任务，中国首次火星探测科学研究团队成员，为“嫦娥四号”月球探测任务和“天问一号”火星探测任务的着陆区地貌分析与着陆点选取提供技术支持。


教育背景：

2015-07 至 2020-08，香港理工大学，土地测量与地理资讯学系，哲学博士，导师: 吴波教授

2011-08 至 2015-07，中国海洋大学，海洋技术系，理学学士


工作经历：

2023-02 至 今，        南方科技大学，地球与空间科学系，助理教授

2022-11 至 2023-01，香港理工大学，土地测量与地理资讯学系，研究助理教授

2020-08 至 2022-11，香港理工大学，土地测量与地理资讯学系，博士后

2015-01 至 2015-07 ，中国科学院遥感与数字地球研究所，实习


学术兼职：

天问一号火星探测任务科学研究团队成员。

深空探测遥感测绘工委会成员。

行星遥感与制图国际专题会议ISPRS分会2017 International Symposium on Planetary Remote Sensing and Mapping会议秘书、组织委员会成员。

ISPRS、IEEE TGRS、IEEE JSTARS、Astrodynamics 审稿人。


主持项目：

国家自然科学基金委员会青年科学基金项目

深圳市高等院校稳定支持计划面上项目


研究领域

1. 基于人工智能技术的行星地貌自动识别与数据库建立

2. 行星地貌全球尺度综合分析与对行星地质环境的解译

3. 行星遥感与测绘技术应用与深空探测任务


期刊论文

     一作/通讯

  1. B. Wu, Y. Wang, S. C. Werner, N. C. Prieur, Z. Xiao, 2022. A Global Analysis of Crater Depth/Diameter Ratios on the Moon, Geophysical Research Letters, 49, 20, https://doi.org/10.1029/2022GL100886.

  2. Y. Wang and X. Li, Arctic Sea Ice Cover Data in High Spatial Resolution from Spaceborne SAR by Deep Learning, Earth System Science Data, 13(6), 2723-2742. 

  3. Y. Wang, B. Wu, H. Xue, X. Li, J. Ma, 2021. An Improved Global Catalog of Lunar Impact Craters (≥1 km) with 3D Morphometric Information and Updates on Global Crater Analysis, Journal of Geophysical Research - Planets, 126, https://doi.org/10.1029/2020JE0067280.

  4. Y. Wang and B. Wu, 2019. Active Machine Learning Approach for Crater Detection from Planetary Imagery and Digital Elevation Models, IEEE Transactions on Geoscience and Remote Sensing, 57(8): 5777-5789. 

  5. Y. Wang, X. Zhu, and B. Wu, 2018. Automatic Detection of Individual Oil Palm Trees from UAV Images Using HOG Features and an SVM Classifier, International Journal of Remote Sensing, 40(19): 7356-7370. 

  6. Y. Wang and B. Wu, 2017. Investigation of Boresight Offsets and Co-Registration of HiRISE and CTX Imagery for Precision Mars Topographic Mapping, Planetary and Space Science, 139C: 18-30. 1.82 4 

  7. Y. Wang and X. Li, 2016. Derivation of sea surface wind directions from TerraSAR-X data using the local gradient method, Remote Sensing, 8(1), p.53.  


      其他

  1. L. Qiao, M. Hess, L. Xu, C. Wöhler, J.W. Head, J. Chen, Y. Wang, R. Bugiolacchi, A. Xiao, F. Zhang and Z. Ling, 2023. Extensive Lunar Surface Disturbance at the Chang'e‐5 Mission Landing Site: Implications for Future Lunar Base Design and Construction. Journal of Geophysical Research: Planets, 128(6), p.e2022JE007730.

  2. Y. Qian, Z. She, Q. He, L. Xiao, Z. Wang, J.W. Head, L. Sun, Y. Wang, B. Wu, X. Wu, and B. Luo, 2023. Mineralogy and chronology of the young mare volcanism in the Procellarum-KREEP-Terrane. Nature Astronomy, pp.1-11.

  3. B. Wu, J. Dong, Y. Wang, W. Rao, Z. Sun, Z. Li, Z. Tan, Z. Chen, C. Wang, W.C. Liu, and L. Chen, 2022. Landing Site Selection and Characterization of Tianwen‐1 (Zhurong Rover) on Mars. Journal of Geophysical Research: Planets, 127(4), p.e2021JE007137.

  4. Y. Lu, K. S. Edgett, B. Wu, Y. Wang, Z. Li, G. G. Michael, H. Yizhaq, Q. Jin, Y. Wu, 2022. Aeolian disruption and reworking of TARs at the Zhurong rover field site, southern Utopia Planitia, Mars, Earth and Planetary Science Letters, 595, https://doi.org/10.1016/j.epsl.2022.117785.

  5. Z. Chen, B. Wu, Y. Wang, S. Liu, Z. Li, C. Yang, J. Dong, W. Rao, 2022. Rock Abundance and Erosion Rate at the Zhurong Landing Site in Southern Utopia Planitia on Mars, Earth and Space Science, 9, 8,

  6. B. Wu, J. Dong, Y. Wang, Z. Li, Z. Chen, W.C. Liu, J. Zhu, L. Chen, Y. Li, W. Rao, 2021. Characterization of the Candidate Landing Region for Tianwen-1 – China’s First Mission to Mars, Earth and Space Science, 8, 6, https://doi.org/10.1029/2021EA001670.

  7. B. Wu, Y. Li, W. C. Liu, Y. Wang, F. Li, Y. Zhao, H. Zhang, 2020. Centimeter-Resolution Topographic Modeling and Fine-Scale Analysis of Craters and Rocks at the Chang’E-4 Landing Site, Earth and Planetary Science Letters, 553, 116666, doi: 10.1016/j.epsl.2020.116666

  8. B. Wu, F. Li, H. Hu, Y. Zhao, Y. Wang, P. Xiao, Y. Li, W. C. Liu, L. Chen, X. Ge, M. Yang, Y. Xu, Q. Ye, X. Wu, H. Zhang, 2020. Topographic and Geomorphological Mapping and Analysis of the Chang’E-4 Landing Site on the Far Side of the Moon, Photogrammetric Engineering & Remote Sensing, 86(4): 247-258, doi: 10.14358/PERS.86.4.247. (2021 ESRI Award for Best Scientific Paper in Geographic Information Systems, First Place, ASPRS)

  9. B. Wu, Y. Wang, et al., 2019. Impact Cratering in and around the Orientale Basin: Results from Recent High-Resolution Remote Sensing Datasets, Icarus, 333: 343-355. B. Wu, J. Huang, Y. Li, Y. Wang, J. Peng, 2018. Rock Abundance and Crater Density in the Candidate Chang’E‐5 Landing Region on the Moon, Journal of Geophysical Research - Planets, 123(12): 3256-3272, doi: 10.1029/2018JE005820.


图书章节

  1. Y. Wang and B. Wu, 2018. Co-registration of multiple-source DEMs for correlated slope analysis at different scales on Mars. Planetary Remote Sensing and Mapping, Taylor & Francis Group/CRC Press, London, pp. 283-300.


会议论文

  1. Y. Wang, B. Wu, 2019. A New Global Catalog of Lunar Impact Craters (≥1 km) with 3D Morphological Information, 50th Lunar and Planetary Science Conference, 18–22 March 2019, The Woodlands, Texas, No. 1019.

  2. Y. Wang, B. Wu, 2017. Improved Large-Scale Slope Analysis on Mars Based on Correlation of Slopes Derived with Different Baselines, International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, vol. XLII-3/W1, pp. 155-161, 2017 International Symposium on Planetary Remote Sensing and Mapping, 13-16 August, Hong Kong.

  3. Y. Wang and B. Wu, 2016. Comparison and Co-Registration of DEMs Generated from HiRISE and CTX Images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B4, pp. 511-51, doi:10.5194/isprs-archives-XLI-B4-511-2016.

  4. B. Wu, T. J. Lin, J. Li, and Y. Wang, 2016. Distribution and Population Characteristics of Lunar Craters in Orientale Basin from Recent High-Resolution Remote Sensing Datasets. Proceedings of the International Symposium on Lunar and Planetary Science, June 9-10, 2016, Wuhan, China.