- University of Science and Technology of China, University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China (chliu81@ustc.edu.cn)
Satellite remote sensing has the advantage of wide spatial coverage and high data consistency, which is an important technology for global atmospheric environment monitoring. However, due to the influence of cloud cover, satellite remote sensing faces the problem of data missing; moreover, the direct object of hyperspectral satellite remote sensing is the total amount of pollution gases in the atmosphere, which is different from the near-ground concentration that directly affects human health. To solve these problems, this research developed a remote sensing technology combining satellite spectral analysis and artificial intelligence. We use artificial intelligence to increase the spatial coverage of satellite and ground-based remote sensing, and make future short term predictions and their applications. Preliminary results show that the reconstruction of satellite remote sensing data supported by artificial intelligence is of great significance for environmental pollution monitoring and control.
How to cite: Liu, C., Hu, Q., Li, Q., and Zhang, C.: Spatiotemporal reconstruction of gas pollutants with high resolution and coverage using hyperspectral remote sensing and artificial intelligence, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1923, https://doi.org/10.5194/egusphere-egu25-1923, 2025.
