Journal of Atmospheric and Environmental Optics ›› 2023, Vol. 18 ›› Issue (3): 214-226.

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Research on the application of stereoscopic remote sensing monitoring system based on multilevel platform collaboration for atmospheric environment

ZHANG Lijuan 1, YANG Yi 1, ZHANG Jianhui 1, ZHAO Aimei 1, ZUO Xinli 2, Xilinhasi 2, Edingaoqier2, WENG Guoqing 1, MAO Huiqin 1, CHEN Hui 1, CHEN Linhan 1, ZHAO Shaohua 1,WANG Zhongting 1, LIU Cheng 3, ZHANG Tianshu 4, TAO Minghui 5, LAI Jibao 6, MA Pengfei 1*, GAO Jixi 1*   

  1. 1 Satellite Environment Application Center of Ministry of Ecology and Environment, Beijing 100094, China; 2 Ordos Municipal Ecology and Environment Bureau, Ordos 016100, China; 3 School of Engineering Science, University of Science and Technology of China, Hefei 230026, China; 4 Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; 5 China University of Geosciences, Wuhan 430074, China; 6 Earth Observation System and Data Center, China National Space Administration, Department of Achievement Transformation, Beijing 100101, China
  • Received:2022-12-04 Revised:2022-12-24 Online:2023-05-28 Published:2023-05-28
  • Contact: pengfei ma E-mail:mpf136@163.com

Abstract: Stereoscopic remote sensing monitoring system based on multilevel platform collaboration is a monitoring system including space-based satellite, space-based remote sensing, aerial drones, mobile patrol monitoring vehicles and ground observation. The core of the system is to use the collaborative linkage mechanism and technical method to build the core algorithm model of data fusion, in order to make up for the shortcomings of conventional single remote sensing means in terms of monitoring time, accuracy and periodicity. The core meaning and application of stereoscopic remote sensing monitoring system based on multilevel platform collaboration for atmospheric environment are elaborated here, and the application results of the system for atmospheric environment are shown by taking the Qipanjing Industrial Park (Erdos, China) as an example. It is shown that the system is helpful for finding out the characteristics of local pollution emissions and quantifying regional pollutant transmission contributions, achieving accurate source tracing and law enforcement, and finally forming a targeted comprehensive air pollution control proposal, which will effectively support the local air pollution prevention work.

Key words: multilevel platform, atmospheric environmental monitoring system, stereoscopic remote sensing

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