EGU25-1923, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-1923
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Spatiotemporal reconstruction of gas pollutants with high resolution and coverage using hyperspectral remote sensing and artificial intelligence
,- 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)
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.