Exploring Methane Column Estimation from Prisma Data

This research utilizes radiance data from the PRISMA hyperspectral satellite mission, employing the MAG1C algorithm that incorporates sparsity and albedo correction. The algorithm is applied to convert level 1b data into methane concentration-pathlength maps, providing essential insights for addressing methane emissions. Data from the TROPOMI imaging spectrometer on board the Sentinel-5P mission will be used to compare the experimental results obtained through the algorithm. To bridge the difference in resolutions, the data comparison will be performed by degrading the PRISMA data by means of a weighted average on the different data resolutions, resulting in an RMSE (Root Mean Square Error) of 73.7175 ppb. The use of new high resolution data is one of the factors on which the maximum effort must be focused with the aim of being able to localize the point emission sources.