白开旭 副教授/硕士生导师
地理科学学院??????


导航
个人资料
研究方向
开授课程
科研项目
学术成果
荣誉及奖励







个人资料
部门： 地理科学学院
毕业院校： 华东师范大学
学位： 博士
学历： 研究生
邮编： 200241
联系电话：
传真：
电子邮箱： kxbai@geo.ecnu.edu.cn
办公地址： 闵行校区河口海岸大楼A841室
通讯地址： 上海市闵行区华东师范大学河口海岸大楼A841室，邮编：200241

教育经历
2009年9月-2015年12月，华东师范大学地理科学学院，博士（硕博连读）
2013年9月-2015年9月，美国中佛罗里达大学（University of Central Florida）环境工程系联合培养
2005年9月-2009年7月，东北农业大学资源与环境学院，学士


工作经历
2019年1月-，华东师范大学地理科学学院，副教授
2016年7月-2018年12月，华东师范大学地理科学学院，讲师


个人简介

社会兼职
期刊审稿：Remote Sensing of Environment,Atmospheric Chemistry & Physics,Environemental Pollution, Environemtal Research, Atmospheric Pollution Research,Science of Total Environment,IEEE Journal of Selected Topicsin Applied Earth Observations and Remote Sensing,IEEE Systems Journal,Journal of Environmental Management,International Journal of Remote Sensing,Remote Sensing,Stochastic Environmental Research and Risk Assessment,Journal of Applied Remote Sensing,Frontiers of Earth Science, 遥感学报, 中国环境科学



研究方向
主要研究方向：
1. 多源遥感数据融合与挖掘
2. 机器学习与环境过程建模
3. 空气污染与环境健康
4. 遥感数据产品真实性检验与不确定性分析
5. 遥感与GIS技术在环境地学中的应用


开授课程
研究生：
遥感数据分析与建模，秋季学期，研一

本科生：
遥感概论，春季学期，大二
遥感软件二次开发，秋季学期，大三
地理科学研究方法与科研实践，秋季学期，大四



科研项目

4. 上海市自然科学基金面上项目，2020年 7 月–2023 年 6 月，主持
3. 国家自然科学基金青年基金，2018年1月–2020年12月, 主持
2. 上海市青年科技英才“扬帆计划”项目，2017年5月–2020年4月，主持
1. 国家重点研发计划（项目号：2016YFC** ), 2016年9月–2020年12月，参与



学术成果
Book:
Ni-Bin Chang & Kaixu Bai.Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing. CRC Press, March 2018.

Journal articles:
[26]Bai, K., Li, K., Wu, C., Chang, N.-B. & Guo, J.: A homogenized daily in situ PM2.5 concentration dataset from national air quality monitoring network in China, Earth System Science Data, doi:10.5194/essd-2020-121, 2020.
[25]Wu, C., Li, K. & Bai, K.*: Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States, Remote Sensing, 12(22), 3813, doi:10.3390/rs**, 2020.
[24] Wei, X., Chang, N. and Bai, K.*: A Comparative Assessment of Multi-sensor Data Merging and Fusion Algorithms for High Resolution Surface Reflectance Data, IEEEJournal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1–1, doi:10.1109/JSTARS.2020.**, 2020.
[23]Bai, K., Li, K., Guo, J., Yang, Y. and Chang, N.-B.: Filling the gaps of in situ hourly PM2.5 concentration data with the aid of empirical orthogonal function analysis constrained by diurnal cycles, Atmospheric Measurement Techniques,13(3), 1213–1226, doi:10.5194/amt-13-1213-2020, 2020.
[22]Wei, X., Chang, N.,Bai, K., Gao, W., 2019. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives.Critical Reviews in Environmental Science and Technology,0, 1–86. https://doi.org/10.1080/**.2019.**
[21]Bai, K.*, Li, K., Chang, N.-B., Gao, W., 2019. Advancing the prediction accuracy of satellite-based PM2.5 concentration mapping: A perspective of data mining through in situ PM2.5 measurements.Environmental Pollution,254, 113047.https://doi.org/10.1016/j.envpol.2019.113047
[20] Li, K., andBai, K.*, 2019. Spatiotemporal Associations between PM2.5 and SO2 as well as NO2 in China from 2015 to 2018.International Journal of Environmental Research and Public Health,16, 2352. https://doi.org/10.3390/ijerph**
[19]Bai, K.*,Chang, N.-B., Zhou, J., Gao, W., Guo, J. (2019).Diagnosing atmospheric stability effects on the modeling accuracy of PM_2.5/AOD relationship in eastern China using radiosonde data.Environmental Pollution,251, 380–389. https://doi.org/10.1016/j.envpol.2019.04.104
[18]Wang, D., Zhong, Z.,Bai, K., He, L. (2019). Spatial and Temporal Variabilities of PM 2 . 5 Concentrations in China Using Functional Data Analysis.Sustainability,11, 1620. https://doi.org/10.3390/su**
[17]Zhang, D.,Bai, K., Zhou, Y., Shi, R., & Ren, H. (2019). Estimating Ground-Level Concentrations of Multiple Air Pollutants and Their Health Impacts in the Huaihe River Basin in China.International Journal of Environmental Research and Public Health,16(4), 579. https://doi.org/10.3390/ijerph**
[16]Bai, K.*, Ma, M., Chang, N.-B., & Gao, W. (2019). Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM2.5 data.Journal of Environmental Management,233, 530–542. https://doi.org/10.1016/j.jenvman.2018.12.071
[15]Ma, Mingliang,Bai, Kaixu*, Qiao, Fengxue, Shi, Runhe, and Gao, Wei. 2018. “Quantifying Impacts of Crop Residue Burning in the North China Plain on Summertime Tropospheric Ozone over East Asia.”Atmospheric Environment, 194, 14-30. https://doi.org/10.1016/j.atmosenv.2018.09.018.
[14]Zhang, Y., Mao, Z., Tao, B.,Bai, K., Chen, P., 2018. Evaluation of the performance of Suomi-NPP OMPS nadir mapper products using station measurements and OMI data.Journal of Applied Remote Sensing, 12, 1. https://doi.org/10.1117/1.JRS.12.042602
[13]Bai, Kaixu, Ni-Bin Chang, Runhe Shi, Huijia Yu, and Wei Gao. 2017. “An Intercomparison of Multidecadal Observational and Reanalysis Data Sets for Global Total Ozone Trends and Variability Analysis.”Journal of Geophysical Research: Atmospheres:1–21. doi:10.1002/2016JD025835.
[12] Chang, Ni-Bin,Kaixu Bai*, and Chi-Farn Chen. 2017. “Integrating Multisensor Satellite Data Merging and Image Reconstruction in Support of Machine Learning for Better Water Quality Management.”Journal of Environmental Management201: 227–40. doi:10.1016/j.jenvman.2017.06.045.
[11] Chang, Ni-Bin, Sanaz Imen,Kaixu Bai, and Y. Jeffrey Yang. 2017. “The Impact of Global Unknown Teleconnection Patterns on Terrestrial Precipitation across North and Central America.”Atmospheric Research193: 107–24. doi:10.1016/j.atmosres.2017.04.018.
[10]Bai, Kaixu, Ni-Bin Chang, Huijia Yu, and Wei Gao. 2016. “Statistical Bias Correction for Creating Coherent Total Ozone Record from OMI and OMPS Observations.”Remote Sensing of Environment182: 150–68. doi:10.1016/j.rse.2016.05.007.
[9]Bai, Kaixu, Ni-Bin Chang, and Chi-Farn Chen. 2016. “Spectral Information Adaptation and Synthesis Scheme for Merging Cross-Mission Ocean Color Reflectance Observations From MODIS and VIIRS.”IEEE Transactions on Geoscience and Remote Sensing54 (1): 311–29. doi:10.1109/TGRS.2015.**.
[8] Chang, Ni-Bin,Kaixu Bai*, Sanaz Imen, Chi-Farn Chen, and Wei Gao. 2016. “Multisensor Satellite Image Fusion and Networking for All-Weather Environmental Monitoring.”IEEE Systems Journal, 1–17. doi:10.1109/JSYST.2016.**.
[7]Bai, Kaixu, Ni-Bin Chang, and Wei Gao. 2016. “Quantification of Relative Contribution of Antarctic Ozone Depletion to Increased Austral Extratropical Precipitation during 1979-2013.”Journal of Geophysical Research: Atmospheres121 (4): 1459–74. doi:10.1002/2015JD024247.
[6] Chang, Ni-Bin,Kaixu Bai, and Chi-Farn Chen. 2015. “Smart Information Reconstruction via Time-Space-Spectrum Continuum for Cloud Removal in Satellite Images.”IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing8 (5): 1898–1912. doi:10.1109/JSTARS.2015.**.
[5]Bai, Kaixu, Chaoshun Liu, Runhe Shi, and Wei Gao. 2015. “Comparison of Suomi-NPP OMPS Total Column Ozone with Brewer and Dobson Spectrophotometers Measurements.”Frontiers of Earth Science9 (3): 369–80. doi:10.1007/s11707-014-0480-5.
[4]Chang, N.-B., Mohiuddin, G., Crawford, A.J.,Bai, K., Jin, K.-R., 2015. Diagnosis of the artificial intelligence-based predictions of flow regime in a constructed wetland for stormwater pollution control.Ecological Informatics28, 42–60.https://doi.org/10.1016/j.ecoinf.2015.05.001
[3]Bai, Kaixu, Chaoshun Liu, Runhe Shi, Yuan Zhang, and Wei Gao. 2013. “Global Validation of FY-3A Total Ozone Unit (TOU) Total Ozone Columns Using Ground-Based Brewer and Dobson Measurements.”International Journal of Remote Sensing34 (14): 5228–42. doi:10.1080/**.2013.788264.
[2]Bai, Kaixu, Chaoshun LIU, Runhe SHI, and Wei GAO. 2012. “Analysis of Spatio-Temporal Characteristics of Drought in Southwest China in 2010 by Using MODIS-Based Normalized Difference Drought Index.”Geo-Information Science14 (1): 32–40. doi:10.3724/SP.J.1047.2012.00032.
[1] Liu, Chaoshun, Yun Li, Wei Gao, Runhe Shi, andKaixu Bai. 2011. “Retrieval of Columnar Water Vapor Using Multispectral Radiometer Measurements over Northern China.”Journal of Applied Remote Sensing5 (1): 53558. doi:10.1117/1.**.


荣誉及奖励


招生信息














10 访问


相关教师