教育经历：
2015.11—2016.10，荷兰屯特大学国际地学信息和地球观测研究院(ITC)，国家公派留学
2013.09—2017.06，电子科技大学资源与环境学院，工学博士
2010.09—2013.06，电子科技大学自动化工程学院，工学硕士
2006.09—2010.06，滨州学院物理与电子科学系，学士学位
工作经历：
2022.07—至今，南京信息工程大学水文与水资源工程学院，副教授
2017.07—2022.06，南京信息工程大学水文与水资源工程学院，讲师
担任Remote Sensing of Environment, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, European Journal of Remote Sensing学术期刊审稿人
主被动微波遥感建模与地表参数反演
主持及参与科研项目：
1.国家自然科学基金，面上项目, 基于主动多频微波遥感的土壤水分和植被光学厚度联合反演(42471385),主持，2025.1-2028.12
2. 国家自然科学基金，青年科学基金项目，基于Sentinel-1数据的青藏高原草原地区土壤水分反演方法研究(41801248)，主持，2019.1-2021.12
3. 南京信息工程大学，人才启动经费资助项目，基于Sentinel-1卫星数据的青藏高原主动微波遥感土壤水分反演算法研究(2017r087)，主持，2017.11-2020.11
4. 国家自然科学基金，青年科学基金项目，强降雨条件下滑坡体中优流特征与滑坡触发机理研究(41807286)，参与，2019.1-2021.12
5. 国家自然科学基金，面上项目，异质性地表高分辨率（1km）植被光学厚度的微波遥感反演研究(42171339)，参与，2022.1-2025.12
6. 国家自然科学基金，面上项目, 基于多模式雷达遥感的高分辨率高精度土壤水分研究(42371349), 参与 2024.1-2027.12
主要发表学术论文：
[1] Xiaojing Bai, Donghai Zheng, Xin Li, Jean-Pierre Wigneron, Rogier van der Velde, Pei Zhang, Zhongbo Su, Simulation of SMAP and AMSR2 observations and estimation of multi-frequency vegetation optical depth using a discrete scattering model in the Tibetan grassland, Remote Sensing of Environment, 292, 113592, 2023.
[2] Xiaojing Bai, Donghai Zheng, Xiangzhuo Liu, Lei Fan, Jiangyuan Zeng, Xin Li, Simulation of Semtinel-1A observations and constrain of water cloud model at the regional scale using a discrete scattering model, Remote Sensing of Environment, 283, 113308, 2022.
[3] Xiaojing Bai, Donghai Zheng, Jun Wen, Xin Wang, Rogier van der Velde, Using a Discrete Scattering Model to Constrain Water Cloud Model for Simulating Ground-Based Scatterometer Measurements and Retrieving Soil Moisture, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp: 14: 9424-9434, 2021.
[4] Xiaojing Bai, Jiangyuan Zeng, Kun-Shan Chen, Zhen Li, Yijian Zeng, Jun Wen, Xin Wang, Xiaohua Dong, and Zhongbo Su, Parameter optimization of a discrete scattering model by integration of global sensitivity analysis using SMAP active and passive observations, IEEE Transactions on Geoscience and Remote Sensing, 57(2): 1084-1099, 2019.
[5] Xiaojing Bai, Binbin He, Xing Li, Jiangyuan Zeng, Xin Wang, Zuoliang Wang, Yijian Zeng, and Zhongbo Su, First assessment of Sentinel-1A data for surface soil moisture estimation using a coupled water cloud model and advanced integral equation model over the Tibetan Plateau, Remote Sensing, 2017, 9, 714.
[6] Xiaojing Bai, Binbin He, and Xiaowen Li, Optimum surface roughness to parameterize advanced integral equation model for soil moisture retrieval in prairie area using Radarsat-2 data, IEEE Transactions on Geoscience and Remote Sensing, 54(4): 2437-2449, 2016.
[7] Xiaojing Bai, Binbin He, Minfeng Xing, and Xiaowen Li, Method for soil moisture retrieval in arid prairie using TerraSAR-X data, Journal of Applied Remote Sensing, 2015, 9(1).
[8] Xiaojing Bai, and Binbin He, Potential of Dubois model for soil moisture retrieval in prairie areas using SAR and optical data, International Journal of Remote Sensing, 36(22), 5737-5753, 2015.
[9] Yizhi Han, Xiaojing Bai, Wei Shao, and Jie Wang, Retrieval of soil moisture by integrating Sentinel-1A and MODIS data over agricultural fields, Water, 2020, 12(6), 1726.
[10] 杨欣源，白晓静.基于Sentinel-1和MODIS数据反演农田地表土壤水分—以REMEDHUS地区为例[J]. 遥感技术与应用, 2021, 36(5): 973-982.
[11] Binbin He, Minfeng Xing, and Xiaojing Bai, A synergistic methodology for soil moisture estimation in an alpine prairie using radar and optical satellite data, Remote Sensing, 6(11), 10966-10985, 2014.
[12] Xing Li, Binbin He, Xingwen Quan, Zhanmang Liao, and Xiaojing Bai, Use of standardized precipitation evapotranspiration index (SPEI) to characterize the drying trend in southwest China from 1982-2012, Remote Sensing, 7(8), 10917-10937, 2015.
[13] 何彬彬，廖展芒，殷长明，全兴文，邱实，行敏峰 ，李星，白晓静，李优优，徐达松.多云雾山丘地区遥感定量化理论及应用进展[J].电子科技大学学报, 2016, 45(4): 533-550.
[14] Chengyang Cui, Jia Xu, Jiangyuan Zeng, Kun-Shan Chen, Xiaojing Bai, Hui Lu, Quan Chen, and Tianjie Zhao, Soil moisture mapping from satellites: an intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over two dense network regions at different spatial scales, Remote Sensing, 2018, 10, 33.
[15] Quan Chen, Jiangyuan Zeng, Chenyang Cui, Zhen Li, Kun-Shan Chen, Xiaojing Bai, and Jia Xu, Soil moisture retrieval from SMAP: a validation and error analysis study using ground-based observations over the Little Washita Watershed, IEEE Transactions on Geoscience and Remote Sensing, 56(3), 1394-1408, 2018.
[16] Zhanmang Liao, Binbin He, Albert I. J. M. van Dijk, Xiaojing Bai, and Xingwen Quan, The impacts of spatial baseline on forest canopy height model and digital terrain model retrieval using P-band PolInSAR data, Remote Sensing of Environment, 2018, vol. 210, pp. 403-421.
[17] Binbin He, Long Wang, Xiaojing Bai, and Minfeng Xing, Assessment of different vegetation parameters for parameterizing the coupled water cloud model and advanced integral equation model for soil moisture retrieval using time series Sentinel-1A data, Photogrammetric Engineering & Remote Sensing, 85(1), 2019, 43-54.
[18] Qiang Wang, Rogier van der Velde, Paolo Ferrazzoli, Xuelong Chen, Xiaojing Bai, Zhongbo Su, Mapping soil moisture across the Tibetan Plateau plains using Aquarius active and passive L-band microwave observations, International Journal of Applied Earth Observation and Geoinformation, vol. 77, pp. 108-118, May 2019, 108-118, 2019.
[19] Zhanmang Liao, Binbin He, Xiaojing Bai, and Xingwen Quan, Improving Forest Height Retrieval by Reducing the Ambiguity of Volume-only Coherence using Multi-baseline PolnSAR Data, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 8853-8865, 2019.
[20] Jiangyuan Zeng, Kun-Shan Chen, Chenyang Cui, and Xiaojing Bai, A physically based soil moisture index from passive microwave brightness temperature for soil moisture variation monitoring, IEEE Transactions on Geoscience and Remote Sensing, 58(4), 2019, 2782-2795.
[21] Chihao Chen, Yan Bai, Xiaomin Fang, Guangsheng Zhuang, Amriddin Khodahiev, Xiaojing Bai, Azamdzhon Murodov, Evaluating the potential of soil bacterial tetraether proxier in westerlies dominating western Pamirs, Tajikistan and implications for paleoenvironmental reconstructions, Chemical Geology, 559, 2021, 119908.
[22] Donghai Zheng, Xin Li, Jun Wen, Jan G. Hofste, Rogier van der Velde, Xin Wang, Zuoliang Wang, Xiaojing Bai, Mike Schwank, and Zhongbo Su, Active and passive microwave signatures of diurnal soil freeze-thaw transitions on the Tibetan Plateau, IEEE Transactions on Geoscience and Remote Sensing, 2021.
[23] Xiangzhuo Liu, Jean-Pierre Wigneron, Lei Fan, Frédéric Frappart, Philippe Ciais, Nicolas Baghdadi, Mehrez Zribi, Thomas Jaghuber, Xiaojun Li, Mengjia Wang, Xiaojing Bai, Christophe Moisy, ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite, Remote Sensing of Environment, 264, 112587, 2021.
[24] Zhilan Zhou, Lei Fan, Gabrielle De Lannoy, Xiangzhuo Liu, Jian Peng, Xiaojing Bai, Frederic Frappart, Nicolas Baghdadi, Zanpin Xing, Xiaojun Li, Mingguo Ma, Xin Li, Tao Che, Liying Geng, and Jean-Pierre Wigneron, Retrieval of high-resolution vegetation optical depth from Sentinel-1 data over a grassland region in the Heihe river basin, Remote Sensing, 2022, 14, 5468.
[25] Liu, Xangzhuo, Wigneron, J.-P., Wagner, W., Frappart, F., Fan, L., Vreugdenhil, M., Baghdadi, N., Zribi, M., Jagdhuber, T., Tao, S., Li, X., Wang, H., Wang, M., Bai, Xiaojing, Mousa, B.G., & Ciais, P. (2023). A new global C-band vegetation optical depth product from ASCAT: Description, evaluation, and inter-comparison. Remote Sensing of Environment, 299.
会议文章：
[1] Xiaojing Bai, Binbin He, and Dasong Xu, Potential use of Radarsat-2 polarimetric parameters for estimating soil moisture in prairie areas, IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016.
[2] Shi Qiu, Binbin He, Xiaojing Bai, Xing Li, Zhanmang Liao, and Changming Yin, A mineral resources quantitative assessment and 3D visualization system, IEEE International Geoscience and Remote Sensing Symposium, July 26-31, 2015, Milan, Italy, pp. 4554 - 4557.
[3] Zhanmang Liao, Binbin He, Xingwen Quan, Xiaojing Bai, Changming Yin, Xing Li, Shi Qiu, Constructing a global grassland drought index (GDI) product based on MODIS and ancillary data, IEEE International Geoscience and Remote Sensing Symposium, July 26-31, 2015, Milan, Italy, pp. 2174 - 2177.
[4] Xing Li, Binbin He, Xingwen Quan, Changming Yin, Zhanmang Liao, Shi Qiu, and Xiaojing Bai, Recent change of vegetation growth trend and its relations with climate factors in Sichuan, China, IEEE International Geoscience and Remote Sensing Symposium, July 26-31, 2015, Milan, Italy, pp. 342 - 345.
[5] Youyou Li, Binbin He, Teng Long, and Xiaojing Bai, Evaluation the performance of fully convolutional networks for building extraction compared with shallow models, IEEE International Geoscience and Remote Sensing Symposium, July 23-28, 2017, Fort Worth, Texas, USA.
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1. 指导南京信息工程大学大学生创新训练计划项目：毕早莹、董泽宇、黄婷，华南地区大气污染物分布规律及其关键气象影响因素分析(201810300052Y)，2018.04-2019.04
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