080904-电磁场与微波技术

陆表微波信号模拟, 微波遥感

   

俄亥俄州立大学 地球科学学院

测绘科学，博士（国家公派）  2012.8-2017.7    

 

北京师范大学 地理学与遥感科学学院

地图学与地理信息系统，硕士（保送） 2009.9-2012.6

 

北京师范大学 地理学与遥感科学学院

地理信息系统，学士 2005.9-2009.6

   

2025-01~现在, 中国科学院国家空间科学中心, 副研究员
2023-11~2024-12,中国科学院国家空间科学中心, 助理研究员
2017-11~2023-10,中国科学院空天信息创新研究院, 助理研究员

陆表微波信号模拟, 微波模型, 微波遥感, 雪水当量反演, 积雪微波信号观测模拟与验证

专著：

1. 蒋玲梅, 杜金阳, 潘金梅等 (2019). 第19章 雪水当量. 梁顺林, 李小文, 王锦地等. 定量遥感：理念与算法（第二版）. 科学出版社, 北京. ISBN: 978-7-03-063977-6.

 

期刊论文：

1. Pan, J., Durand, M., Lemmetyinen, J., Liu, D., and Shi, J.: Snow water equivalent retrieved from X- and dual Ku-band scatterometer measurements at Sodankylä using the Markov Chain Monte Carlo method, Cryosphere, 18, 1561–1578, https://doi.org/10.5194/tc-18-1561-2024, 2024.

2. Pan, J., Xiong, C., Jiang, L., Yang, J., & Shi, J. (2024). A Physically-Based Method To Estimate High-Resolution Snow Water Equivalent By Integrating Passive Microwave And Optical Remote Sensing Observations Within Nested Grids. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 1665–1670. https://doi.org/10.1109/igarss53475.2024.10642581.

3. Gao, X., Pan, J.(通讯), Shi, J., 2024. Retrieval of Snow Density Based on Space-Borne L-Band Passive Microwave Observations, in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. pp. 3269–3273. https://doi.org/10.1109/IGARSS53475.2024.10640888.

4. Lei, Y., Zhou, J., Pan, J., Xiong, C., Xu, G., Shi, J., Wang, Z., Fu, A., 2024. Altay 2024: Synergetic Spaceborne Airborne Field Snow Campaign, in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. pp. 1661–1664. https://doi.org/10.1109/IGARSS53475.2024.10642404.

5. Wang, C., Yang, N., Zhao, T., Xue, H., Peng, Z., Zheng, J., Pan, J., Yao, P., Gao, X., Yan, H., Song, P., Liou, Y.-A., Shi, J., 2024. All-Season Liquid Soil Moisture Retrieval From SMAP. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 17, 8258–8270. https://doi.org/10.1109/JSTARS.2024.3382315.

6. Li, R., Shi, J., Pan, J., Yan, N., Zhao, T., Zhang, Q., and Wang, Y.: Can the Accuracy of Fine-Resolution Precipitation Products Be Assessed from the Surrounding Water Balance and Drought Chain (WBDC) in the Qinghai–Tibetan Plateau?, Remote Sens., 16, https://doi.org/10.3390/rs16010079, 2024.

7. Yang, J., Jiang, L., Zheng, Z., Pan, J., and Shayiran, A.: A new operational Northern Hemisphere snow water equivalent retrieval algorithm for FY-3F/MWRI-II based on pixel-based regression coefficients, IEEE Trans. Geosci. Remote Sens., PP, 1, https://doi.org/10.1109/TGRS.2024.3479452, 2024.

8. Pan, F., Jiang, L., Wang, G., Pan, J., Huang, J., Zhang, C., Cui, H., Yang, J., Zheng, Z., Wu, S., and Shi, J.: MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000-2022), Earth Syst. Sci. Data, 16, 2501–2523, https://doi.org/10.5194/essd-16-2501-2024, 2024.

9. Singh, S., Durand, M., Kim, E., Pan, J., Kang, D.H., Barros, A.P., 2023. A Physical-Statistical Retrieval Framework to Estimate SWE from X and Ku-Band SAR Observations, in: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. pp. 17–20. https://doi.org/10.1109/IGARSS52108.2023.10281838.

10. Jinmei Pan, Jianwei Yang, Lingmei Jiang, Chuan Xiong, Fangbo Pan, Xiaowen Gao, Jiancheng Shi, Sheng Chang. 2023. Combination of snow process model priors and site representativeness evaluation to improve the global snow depth retrieval based on passive microwaves. IEEE Transactions on Geoscience and Remote Sensing,61,pp 1-20, doi: 10.1109/TGRS.2023.3276651.

11. Xiaowen Gao, Jinmei Pan(通讯作者), Zhiqing Peng, Tianjie Zhao, Yu Bai, Jianwei Yang, Lingmei Jiang,Jiancheng Shi, Letu Husi. 2023. Snow Density Retrieval in Quebec Using Space-Borne SMOS Observations. Remote Sensing, 15(8), 2065. doi: 10.3390/rs15082065.

12. Yonghui Lei, Jinmei Pan, Chuan Xiong, Lingmei Jiang, Jiancheng Shi (2022). Snow Depth and Snow Cover Over the Tibetan Plateau Observed From Space in against ERA5 : Matters of Scale. Climate Dynamics. Early Access. doi: 10.1007/s00382-022-06376-0.

13. Chuan Xiong, Jingran,Yang, Jinmei Pan, Yonghui Lei, Jiancheng Shi (2022). Mountain Snow Depth Retrieval From Optical and Passive Microwave Remote Sensing Using Machine Learning. IEEE Geoscience and Remote Sensing Letters, 19: 2001705. doi: 10.1109/LGRS.2022.3226204.

14. Shuyang Wu, Tianjie Zhao, Jinmei Pan, Huazhu Xue, Lin Zhao, Jiancheng Shi (2022). Improvement in Modeling Soil Dielectric Properties During Freeze-Thaw Transitions. IEEE Geoscience and Remote Sensing Letters, 19: 2001005. doi: 10.1109/LGRS.2022.3154291.

15. Jianwei Yang, Lingmei Jiang, Jinmei Pan, Jiancheng Shi, Shengli Wu, Jian Wang, Fangbo Pan (2022). Comparison of Machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China. Remote Sensing, 14(12):2800. doi:10.3390/rs14122800.

16. Chuan Xiong, Jiancheng Shi, Jinmei Pan, Haokui Xu, Tao Che, Tianjie Zhao, Yan Ren, Deyan Geng, Tao Chen, Kaiwen Jiang. Time Series X- and Ku-Band Ground-Based Synthetic Aperture Radar Observation of Snow-Covered Soil and Its Electromagnetic Modeling (2022). IEEE Transactions on Geoscience and Remote Sensing. 60. doi: 10.1109/TGRS.2021.3071373.

17. Jinmei Pan, Michael Durand, Zoe Courville, Ben Vander Jagt, Noah Molotch, Steve Margulis, Edward Kim, Martin Schneebeli, Christian Matzler (2021). Evaluation of Stereology for Snow Microstructure Measurement and Microwave Emission Modeling: A Case Study. International Journal of Digital Earth, 14(10): 1316-1336. doi:10.1080/17538947.2021.1902006.

18. Yue Yu, Jinmei Pan(通讯作者), Jiancheng Shi  (2021). Evaluation of the Effective Microstructure Parameter of the Microwave Emission Model of Layered Snowpack for Multiple-Layer Snow. Remote Sensing,13(10). doi:10.3390/rs13102012.

19. Qinghuan Li, Richard Kelly, Juha Lemmetyinen, De Roo Roger, Jinmei Pan, Yubao Qiu (2021). The Influence of Tree Transmissivity Variations in Winter on Satellite Snow Parameter Observations. International Journal of Digital Earth, 14(10):1337-1353. doi:10.1080/17538947.2021.1950852.

20. Nastaran Saberi, Richard Kelly, Jinmei Pan, Michael Durand, Joslin Goh, Andrea K. Scott (2021). The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow. IEEE Transactions on Geoscience and Remote Sensing. 59(3):1876-1889. doi:10.1109/TGRS.2020.3004594.

21. Tao Chen, Jinmei Pan(通讯作者), Shunli Chang, Chuan Xiong, Jiancheng Shi, Mingyu Liu, Tao Che, Lifu Wang, Hongrui Liu (2020). Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China. Remote Sensing, 12(3): 507. doi: 10.3390/rs12030507.

22. Qinghuan Li, Richard Kelly, Juha Lemmetyinen, Jinmei Pan (2020). Simulating the Influence of Temperature on Microwave Transmissivity of Trees during Winter Observed by Spaceborne Microwave Radiometery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:4816-4824. doi:10.1109/JSTARS.2020.3017618.

23. Mingyu Liu, Chuan Xiong, Jinmei Pan, Tianxing Wang, Jiancheng Shi, Ninglian Wang (2020). High-Resolution Reconstruction of the Maximum Snow Water Equivalent Based on Remote Sensing Data in a Mountainous Area. Remote Sensing. 12(3): 460. doi:10.3390/rs12030460.

24. Jianwei Yang, Lingmei Jiang, Kari Luojus, Jinmei Pan, Juha Lemmetyinen, Matias Takala, Shengli Wu (2020). Snow Depth Estimation and Historical Data Reconstruction over China based on A Random Forest Machine Learning Approach. Cryosphere, 14(6): 1763-1778. doi: 10.5194/tc-14-1763-2020.

25. Tianjie Zhao, Jiancheng Shi, Liqing Lv, Hongxin Xu, Deqing Chen, Qian Cui, Thomas J. Jackson, ... Jinmei Pan,.., Ziqian Zhang (2020). Soil Moisture Experiment in the Luan River Supporting New Satellite Mission Opportunities. Remote Sensing of Environment. 240: 111680. doi: 10.1016/j.rse.2020.111680.

26. Jianwei Yang, Lingmei Jiang, Liyun Dai, Jinmei Pan, Shengli Wu, Gongxue Wang (2019). The Consistency of SSM/I vs. SSMIS and the Influence on Snow Cover Detection and Snow Depth Estimation over China. Remote Sensing, 11(16): 1879. doi:10.3390/rs11161879.

27. 熊川, 姚汝桢, 施建成, 雷永荟, 潘金梅 (2019). 高亚洲地区冰雪融化时间变化. 科学通报, 64(27): 2885-2893. | Chuan Xiong, Ruzhen Yao, Jiancheng Shi, Yonghui Lei, Jinmei Pan (2019). Change of Snow and Ice Melting Time in High Mountain Asia. China Science Bulletin, 64(27): 2885-2893. doi: 10.1360/TB-2019-0085.

28. Jinmei Pan, Michael Durand, Ben Vander Jagt, Desheng Liu (2017). Application of a Markov Chain Monte Carlo Algorithm for Snow Water Equivalent Retrieval from Passive Microwave Measurements. Remote Sensing of Environment, 192: 150-165. doi: 10.1360/TB-2019-0085.

29. Jinmei Pan, Michael Durand, Melody Sandells, Juha Leymmetyinen, Edward Kim, Jouni Pulliainen, Anna Kontu, Chris Derksen (2016). Differences Between the HUT Snow Emission Model and MEMLS and their Effects on Brightness Temperature Simulation. IEEE Transactions on Geoscience and Remote Sensing, 54(4): 2001-2019. doi: 10.1109/TGRS.2015.2493505.

30. Jinmei Pan, Lingmei Jiang, Lixin Zhang (2012). Comparison of the Multi-layer HUT Snow Emission Model with Observations of Wet Snowpacks. Hydrological Processes, 28(3): 1071-1083. doi: 10.1002/hyp.9617.

31. 潘金梅, 张立新, 吴浩然, 庄俊平, 赵少杰, 赵天杰 & 蒋玲梅 (2012).土壤有机物质对土壤介电常数的影响. 遥感学报, 16(1): 1-12. doi: 10.11834/jrs.20120432.

32. 程久全, 蒋玲梅, 张涛, 潘金梅 (2015). 华北积雪冻融循环微波辐射特征研究, 遥感信息, 30(3): 65-73.

33. Xiyu Chen, Lingmei Jiang, Juntao Yang, Jinmei Pan (2014). Validation of Ice Mapping System Snow Cover over Southern China Based on Land Enhanced Thematic Mapper Plus Imagery. Journal of Applied Remote Sensing. 8(1): 084680. doi: 10.1117/1.JRS.8.084680.

34. 杨俊涛, 蒋玲梅, 潘金梅, 张立新 (2013). 基于GOES静止气象和AMSR-E雪盖融合监测方法研究. 遥感技术与应用, 28(5): 920-927. 

35. 刘誉, 蒋玲梅, 施建成, 张生雷, 潘金梅, 王培 (2011). 雪热力模型(SNTHERM)在冰沟流域的模拟和敏感性试验. 遥感学报, 5(4): 1993-2002. doi: 10.11834/jrs.20110160.