Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.5194/amt-16-6065-2023. This is version 2 of this Preprint.

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Authors

Alana Ayasse , Daniel Cusworth, Kelly O'Neill, Andrew Thorpe, Riley Duren

Abstract

Airborne imaging spectrometers are increasingly used to map methane (CH4) at high spatial resolution (e.g., 3-5 m). This study presents an analysis of two common approaches to retrieve methane from imaging spectrometer data. The approaches are (1) the columnwise matched filter (CMF), and (2) the physics-based Iterative Maximum A Posteriori – Differential Optical Absorption Spectroscopy (IMAP-DOAS). We use data from a single-blind controlled release experiment to assess the performance of these two retrieval algorithms. We find that the length of the column in the CMF has a large impact on the quantitative results of the CMF and can results in low emissions estimates if proper column length standards are not met. We also find that the IMAP-DOAS derived emission rates showing strong correlation and little bias compared to the in-situ emissions measurements.

DOI

https://doi.org/10.31223/X5C95T

Subjects

Atmospheric Sciences

Keywords

methane, Hyperspectral, CH4, imaging spectrometers, gas mapping

Dates

Published: 2023-02-16 22:27

Last Updated: 2023-06-29 02:38

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