其他栏目




个人简介
学习与工作经历：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：
2017.07—至今，南京信息工程大学水文与水资源工程学院，讲师

社会兼职：担任Journal of Selected Topics in Applied Earth Observations and Remote Sensing, European Journal of Remote Sensing学术期刊审稿人


研究领域：主被动微波遥感建模与地表参数反演

科研成果：主持及参与科研项目：
1. 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)，主持人，2017.11-2020.11
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(**)，主持人，2019.1-2021.12
3. 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(**)，参与人，2019.1-2021.12

主要发表学术论文：
[1] 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, 2019, 57(2): 1084-1099.
[2] 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.
[3] 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, 2016, 54(4): 2437-2449.
[4] 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, 2015, 36(22), 5737-5753.
[5] 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).
[6] 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, 2019, 85(1): 43-54.
[7] 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, 2019, 108-118.
[8] 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, 210, 403-421.
[9] 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.
[10] 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, 2-18, 56(3), 1394-1408.
[11] 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, 2015, 7(8), 10917-10937.
[12] 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, 2014, 6(11), 10966-10985.
[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.

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.

荣誉：无 其他学术成就：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(2Y)，2018.04-2019.04



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