Personal Profile

中国地质大学（武汉）地理与信息工程学院教授，博士生导师，地表过程与可持续发展创新研究中心主任，担任国际大气环境遥感学会理事、中国遥感应用协会定量遥感专委会、生态环境遥感专委会委员、中国环境信息系统与遥感专业委员会委员、《遥感学报》、《武汉科技大学学报》编委等。

主要从事环境遥感研究，包括大气环境遥感反演算法、深度学习遥感、GIS开发与应用，面向国家生态环境监测领域重大需求，致力于研究人工智能与物理模型的集成方法，研发卫星遥感环境探测新技术、时空大数据新模型，开发智慧环境大数据平台，服务于美丽中国建设和国家双碳战略。

主持国家自然科学基金项目3项，重点基金课题1项、国家重点研发计划子课题、部委及省市业务部门技术开发应用课题20余项；在JGR、GRL、RSE、TGRS、ACP等国际主流期刊发表SCI论文50余篇，被Nature Communication, PNAS等相关期刊SCI引用1800余次，作为技术骨干研发的空气质量卫星监测系统已在国家生态环境部卫星中心、北京市、湖北省环境监测中心等业务单位运行；2020年入选武汉黄鹤英才计划，担任JGR、GRL、ACP、RSE、IEEE TGRS、STOTEN等大气和遥感期刊的审稿人，获省部级奖励1项，参编专著两部。

招生方向

•   测绘科学与技术博士

•   地理学-地图学与地理信息系统学硕

•   资源与环境-遥感、GIS专硕

•   电子信息专硕

  欢迎遥感、GIS、测绘、地理、计算机、大气科学等专业背景的同学报考！ 

学术论文

•  Tao, M., J. Chen, X. Xu, W. Man, L. Xu, L. Wang, Y. Wang, J. Wang, M. Fan and L. Chen (2023). A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method. Remote Sensing of Environment 297: 113763.

• Tao, M., J. Wang, L. Chen. X. Xu, L. Wang, J. Tao, Z. Wang and J. Xiang (2020). Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance. Journal of Geophysical Research: Atmospheres 125(13): e2019JD031909.

• Tao, M., L. Chen, J. Wang, L. Wang, W. Wang, C. Lin, L. Gui, L. Wang, C. Yu and Y. Wang (2022). Characterization of dust activation and their prevailing transport over East Asia based on multi-satellite observations. Atmospheric Research 265: 105886.
  

• Man, W., Tao, M., L. Xu, X. Xu, J. Jiang, J. Wang, L. Wang, Y. Wang M. Fan and L. Chen (2024). Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method. IEEE Transactions on Geoscience and Remote Sensing 62: 1-11.

• Jiang, J., Tao, M., X. Xu, Z. Jiang, W. Man, J. Wang, L. Wang, Y. Wang, Y. Zheng, J. Tao and L. Chen (2023). A Generalized Aerosol Algorithm for Multi-Spectral Satellite Measurement With Physics-Informed Deep Learning Method. Geophysical Research Letters 50(24): e2023GL106806.

• Gui, L., Tao, M., L. Xu, Y. Wang, J. Wang,  L. Wang and L. Chen (2024). Performance of DSCOVR/EPIC diurnal aerosol products over China: Ground validation and intercomparison. Atmospheric Research 301: 107268.

• Dong, W., Tao, M., X. Xu, Y. Wang, J. Wang, L. Wang, Y. Song, M. Fan and L. Chen (2023). Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis. IEEE Transactions on Geoscience and Remote Sensing 61: 1-13.

• Gui, L., Tao, M., Y. Wang, L. Wang, L. Chen, C. Lin, J. Tao, J. Wang and Y. Chao (2022). Climatology of aerosol types and their vertical distribution over East Asia based on CALIPSO lidar measurements. International Journal of Climatology 42(11): 6042-6054.

• Chen, J., R. Li, Tao, M., L. Wang, C. Lin, J. Wang, L. Wang, Y. Wang and L. Chen (2022). Overview of the performance of satellite fire products in China: Uncertainties and challenges. Atmospheric Environment 268: 118838.

• Tao, M., L. Gui, R. Li, L. Wang, S. Liang, Q. Li, L. Wang, C. Yu and L. Chen (2021). Tracking prevailing dust aerosol over the air pollution in central China with integrated satellite and ground observations. Atmospheric Environment 253: 118369.

• Tao, M., H. Huang, N. Chen, P. Ma, L. Wang, L. Chen, L. Chen, L. Zhang, J. Xiang and L. Gui (2021). Contrasting effects of emission control on air pollution in Central China during the 2019 Military World Games based on satellite and ground observations. Atmospheric Research 259: 105657.

• Li, R., Tao, M., M. Zhang, L. Chen, L. Wang, Y. Wang, X. He, X. Mei and J. Wang (2021). Application Potential of Satellite Thermal Anomaly Products in Updating Industrial Emission Inventory of China. Geophysical Research Letters 48(8): e2021GL092997.

• Tao, M., R. Li, L. Wang, L. Feng, Z. Wang, J. Tao, H. Che, L. Wang and L. Chen (2020). A critical view of long-term AVHRR aerosol data record in China: Retrieval frequency and heavy pollution. Atmospheric Environment 223: 117246.

• Tao, M., J. Wang, R. Li, L. Wang, Z. Wang, J. Tao, H. Che and L. Chen (2019). Performance of MODIS high-resolution MAIAC aerosol algorithm in China: Characterization and limitation. Atmospheric Environment 213: 159-169.
  

• Tao, M., L. Chen, Z. Wang, J. Wang, H. Che, X. Xu, W. Wang, J. Tao, H. Zhu, and C. Hou (2017), Evaluation of MODIS Deep Blue Aerosol Algorithm in Desert Region of East Asia: Ground Validation and Intercomparison, Journal of Geophysical Research: Atmospheres, 122(19), 10,357-310,368.

• Tao, M., L. Chen, Z. Wang, J. Wang, J. Tao (2016), Did the widespread haze pollution over China increase during the last decade? A satellite view from space, Environmental Research Letters, 11(5), 054019.

• Tao, M., L. Chen, Z. Wang, J. Tao, H., Che, X. Wang (2015), Comparison and evaluation of the MODIS Collection 6 aerosol data in China,  Journal of Geophysical Research: Atmospheres, 120 (14), 6992-7005.

• Tao, M.,  L. Chen, J. Tao, L. Su (2012). Satellite observation of regional haze pollution over the North China Plain, Journal of Geophysical Research: Atmospheres, 117, D12203.

• Tao, M., L. Chen, R. Li, L. Wang, J. Wang, Z. Wang, G. Tang (2016), Spatial oscillation of the particle pollution in eastern China during winter: Implications for regional air quality and climate, Atmospheric Environment, 144, 100-110.

• Tao, M., L. Chen, X. Xiong, M. Zhang, P. Ma, J. Tao, and Z. Wang (2014), Formation process of the widespread extreme haze pollution over northern China in January 2013: Implications for regional air quality and climate, Atmospheric Environment, 98, 417-425.

• Tao, M., L. Chen, Z. Wang, P. Ma, J. Tao, and S. Jia (2014), A study of urban pollution and haze clouds over northern China during the dusty season based on satellite and surface observations, Atmospheric Environment, 82, 183-192.

•  Tao, M., L. Chen, Z. Wang, J. Tao, and L. Su (2013), Satellite observation of abnormal yellow haze clouds over East China during summer agricultural burning season, Atmospheric Environment, 79, 632-640.

•  Tao, M., Z. Wang, J. Tao, L. Chen, J. Wang, C. Hou, L. Wang, X. Xu, and H. Zhu (2017), How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China?, Remote Sensing, 9(8), 800.

• Jiang, X., Y. Wang, L. Wang, Tao, M., et al. (2024). Characteristics of Daytime-And-Nighttime AOD Differences Over China: A Perspective From CALIOP Satellite Observations and GEOS-Chem Model Simulations. Journal of Geophysical Research: Atmospheres 129(8): e2023JD039158.

•  Zhang, L., L. Wang, R. Wang, N. Chen, Y. Yang, K. Li, J. Sun, D. Yao, Y. Wang, Tao, M., et al. (2024). Exploring formation mechanism and source attribution of ozone during the 2019 Wuhan Military World Games: Implications for ozone control strategies. Journal of Environmental Sciences 136: 400-411.

•  Lin, C., P. Louie, A. Lau, J. Fung, Z. Yuan, Tao, M., et al. (2024). Net effect of air pollution controls on health risk in the Beijing–Tianjin–Hebei region during the 2022 winter Olympics and Paralympics. Journal of Environmental Sciences 135: 560-569.

•  Zhang, Z., M. Fan, Tao, M., Y. Tian and Q. Wang. (2023). Large Divergence of Satellite Monitoring of Diffuse Radiation Effect on Ecosystem Water-Use Efficiency. Geophysical Research Letters 50(22): e2023GL106086.

•  Zhao, S., M. Liu, Tao, M., W. Zhou, X. Lu, Y. Xiong. F. Li and Q. Wang. (2023). The role of satellite remote sensing in mitigating and adapting to global climate change. Science of The Total Environment 904: 166820.

•  Zhang, Z., J. Xiong, M. Fan, Tao, M., et al. (2023). Satellite-observed vegetation responses to aerosols variability. Agricultural and Forest Meteorology 329: 109278.

•  Wang, R., L. Wang, M. Xue, N. Chen, L. Zhang, Z. Ling, T. Li, Tao, M., et al. (2023). New insight into formation mechanism, source and control strategy of severe O3 pollution: The case from photochemical simulation in the Wuhan Metropolitan Area, Central China. Atmospheric Research 284: 106605..

• Wang, Q., L. Wang, Tao, M., et al. (2021). Exploring the variation of black and brown carbon during COVID-19 lockdown in megacity Wuhan and its surrounding cities, China. Science of The Total Environment 791: 148226.

• Gao, Y., M. Zhang, Z. Liu, L. Wang, X. Xia, Tao, M. and L. Zhu, 2015. Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog-haze event over the North China Plain. Atmospheric Chemistry and Physics, 15(8), 4279-4295.