EGU23-6606
https://doi.org/10.5194/egusphere-egu23-6606
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

About the use of Satellite Hyperspectral Images for Methane Detection

Fabrizio Masin, Tiziano Maestri, and Michele Martinazzo
Fabrizio Masin et al.
  • University of Bologna, Faculty of Physics, DIFA, Italy (fabrizio.masin2@unibo.it)

As global warming continues to be one of the greatest threats to Earth environment, the detection and monitoring of natural and anthropogenic emissions of greenhouse gases holds a critical role as the first step of any danger reduction policy. New generation spaceborne hyperspectral instruments cover large portions of the Earth while maintaining a high enough spectral and spatial resolution to investigate the contribution of single molecular species and accurately localize their emission source. The Matched Filter method is used to search enhanced concentrations of methane in the atmospheric column. PRISMA, ASI’s newest hyperspectral sensor, data are analysed. Both strong and weak CH4 emissions, in multiple scenarios, are investigated. It is demonstrated that PRISMA data allow also the identification of methane non-punctual sources when the land gas emission is very high. An estimated flux in the order of 4000 kg/h is found for a case study considering a landfill in India.

How to cite: Masin, F., Maestri, T., and Martinazzo, M.: About the use of Satellite Hyperspectral Images for Methane Detection, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6606, https://doi.org/10.5194/egusphere-egu23-6606, 2023.