个人简历

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

研究领域

主被动微波遥感建模与地表参数反演

近期论文

[1] 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). DOI: 10.1117/1.JRS.9.096062
[2] 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. DOI: 10.1080/01431161.2015.1103920
[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, 54(4): 2437-2449, 2016. DOI: 10.1109/TGRS.2015.2501372
[4] 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. DOI: 10.3390/rs9070714
[5] 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. DOI: 10.1109/TGRS.2018.2864689
[6] 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. DOI: 10.3390/rs61110966
[7] 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. DOI: 10.3390/rs70810917
[8] 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. (EI)
[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. DOI: 10.3390/rs10010033
[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, 56(3), 1394-1408, 2018, DOI: 10.1109/TGRS.2017.2762462
[11] 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.
[12] 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. https://doi.org/10.14358/PERS.85.1.43
[13] 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, 77, May 2019, 108-118, 2019. https://doi.org/10.1016/j.jag.2019.01.005
[14] Zhanmang Liao, Binbin He, Xiaojing Bai, Improving Forest Height Retrieval by Reducing the Ambiguity of Volume-only Coherence using Multi-baseline PolnSAR Data, IEEE Transactions on Geoscience and Remote Sensing, 2019.