白开旭 - 华东师范大学 - 地理科学学院

个人简介

白开旭，华东师范大学地理科学学院教授、博士生导师，中国环境科学学会环境信息系统与遥感专业委员会委员，担任SCI期刊 Joural of Applied Remote Sensing、Journal of Hydroinformatics 期刊副编辑（Associate editor）。2016年毕业于华东师范大学，获地图学与地理信息系统专业博士学位，入选2017年上海市“青年科技英才”扬帆计划项目。近五年来主持国家自然科学基金面上项目、青年基金以及上海市科委等机构资助项目 9 项，参与国家重点研发计划项目课题 1 项。主要从事地理大数据分析、星地多源遥感数据融合与挖掘、机器学习与环境建模等方向的研究工作，先后围绕遥感影像数据缺失值重构、星地多源遥感数据融合、基于机器学习技术的环境变量获取等方向开展了大量研究工作。近五年在Remote Sensing of Environment, ISPRS Photogrametry & Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Earth System Science Data, Geophysical Research Letter 等遥感和地球科学类重要刊物上发表SCI论文40余篇，出版英文学术著作 1 部，参编课程思政教材 2 部，申请和授权发明专利 8 项。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 2024年1月– 至今，华东师范大学地理科学学院，教授 2023年3月–8月，国家自然科学基金委地球科学部一处，兼聘 2019年1月–2023年12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

研究领域

地理大数据分析遥感数据智能反演多源数据融合与质量提升大气污染与环境健康机器学习与环境建模

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Chang, N.-B., Bai, K., 2018. Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing. CRC Press. (学术专著) Bai, K., Li, K., Sun, Y., Wu, L., Zhang, Y., Chang, N., Li, Z., 2023. Global synthesis of two decades of research on improving PM2.5 estimation models from remote sensing and data science perspectives. Earth-Science Review 241, 104461. (SCI一区) Bai, K., Chang, N. Bin, Yu, H., Gao, W., 2016. Statistical bias correction for creating coherent total ozone record from OMI and OMPS observations. Remote Sensing of Environment 182, 150–168. (SCI一区) Bai, K., Li, K., Guo, J., Chang, N., 2022. Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy? ISPRS Journal of Photogrammetry and Remote Sensing 184, 31–44. (SCI一区) Bai, K., Li, K., Guo, J., Cheng, W., Xu, X., 2022. Do More Frequent Temperature Inversions Aggravate Haze Pollution in China? Geophysical Research Letter 49, 2–31. (SCI一区) Bai, K., Li, Ke, Ma, M., Li, Kaitao, Li, Z., Guo, J., Chang, N.-B., Tan, Z., Han, D., 2022. LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion. Earth System Science Data 14, (SCI一区) Bai, K., Li, K., Wu, C., Chang, N.-B., Guo, J., 2020. A homogenized daily in situ PM2.5 concentration dataset from the national air quality monitoring network in China. Earth System Science Data 12, 3067–3080. (SCI一区) Bai, K., Chang, N. Bin, Chen, C.F., 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 Sensing 54, 311–329. (SCI一区) Bai, K., Li, K., Chang, N. Bin, 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. (SCI一区) Bai, K., Chang, N. Bin, Zhou, J., Gao, W., Guo, J., 2019. Diagnosing atmospheric stability effects on the modeling accuracy of PM2.5 /AOD relationship in eastern China using radiosonde data. Environmental Pollution 251, 380–389. (SCI一区) Bai, K., Ma, M., Chang, N. Bin, 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. (SCI一区) Li, K., Bai, K.*, Jiao, P., Chen, H., He, H., Shao, L., Sun, Y., Zheng, Z., Li, R., Chang, N., 2024. Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data. Remote Sensing of Environment 304, 114039. (SCI一区) Li, K., Bai, K.*, Ma, M., Guo, J., Li, Z., Wang, G., Chang, N.-B., 2022. Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics. ISPRS Journal of Photogrammetry and Remote Sensing 193, 45–59. (SCI一区) Li, K., Bai, K.*, Li, Z., Guo, J., Chang, N.-B., 2022. Synergistic data fusion of multimodal AOD and air quality data for near real-time full coverage air pollution assessment. Journal of Environmental Management 302, 114121. (SCI一区) Wei, X., Bai, K.*, Chang, N.-B., Gao, W., 2021. Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event. International Journal of Applied Earth Observation and Geoinformation 102, 102366. (SCI一区)

学术兼职

期刊任职 Journal of Applied Remote Sensing, Associate editor Journal of Hydroinformatics, Associate editor 学术组织中国环境科学学会环境信息系统与遥感专业委员会委员期刊审稿人 Remote Sensing of Environment, Earth System Science Data, Atmospheric Chemistry & Physics, Environemental Pollution, Environemtal Research, Atmospheric Pollution Research, Science of Total Environment, IEEE Journal of Selected Topics in 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, 测绘学报，大气科学，中国环境科学等