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王怡然，南方科技大學助理教授。2015年于中國海洋大學取得學士學位，2020年于香港理工大學取得博士學位，隨后在香港理工大學先后擔任博士后和研究助理教授職位。2023年2月加入南方科技大學。主要從事行星遙感方面的研究，以“智能算法-數據產品-科學發現”為研究體系，利用人工智能技術對行星地貌進行識別，建立數據庫，進而分析闡明行星表面地質環境等科學問題。自2017年起參與我國深空探測任務，中國首次火星探測科學研究團隊成員，為“嫦娥四號”月球探測任務和“天問一號”火星探測任務的著陸區地貌分析與著陸點選取提供技術支持。

教育背景：

2015-07 至 2020-08，香港理工大學，土地測量與地理資訊學系，哲學博士，導師: 吳波教授

2011-08 至 2015-07，中國海洋大學，海洋技術系，理學學士

工作經歷：

2023-02 至 今，        南方科技大學，地球與空間科學系，助理教授

2022-11 至 2023-01，香港理工大學，土地測量與地理資訊學系，研究助理教授

2020-08 至 2022-11，香港理工大學，土地測量與地理資訊學系，博士后

2015-01 至 2015-07 ，中國科學院遙感與數字地球研究所，實習

學術兼職：

天問一號火星探測任務科學研究團隊成員。

深空探測遙感測繪工委會成員。

行星遙感與制圖國際專題會議ISPRS分會2017 International Symposium on Planetary Remote Sensing and Mapping會議秘書、組織委員會成員。

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

主持項目：

國家自然科學基金委員會青年科學基金項目

深圳市高等院校穩定支持計劃面上項目

研究領域

1. 基于人工智能技術的行星地貌自動識別與數據庫建立

2. 行星地貌全球尺度綜合分析與對行星地質環境的解譯

3. 行星遙感與測繪技術應用與深空探測任務

期刊論文

     一作/通訊

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. W?hler, 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.

圖書章節

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.

會議論文

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.