Atmospheric Measurement Techniques (Feb 2024)

Level0 to Level1B processor for MethaneAIR

  • E. K. Conway,
  • E. K. Conway,
  • A. H. Souri,
  • J. Benmergui,
  • K. Sun,
  • K. Sun,
  • X. Liu,
  • C. Staebell,
  • C. Chan Miller,
  • J. Franklin,
  • J. Samra,
  • J. Wilzewski,
  • S. Roche,
  • B. Luo,
  • A. Chulakadabba,
  • M. Sargent,
  • J. Hohl,
  • B. Daube,
  • I. Gordon,
  • K. Chance,
  • S. Wofsy,
  • S. Wofsy

DOI
https://doi.org/10.5194/amt-17-1347-2024
Journal volume & issue
Vol. 17
pp. 1347 – 1362

Abstract

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This work presents the development of the MethaneAIR Level0–Level1B processor, which converts raw L0 data to calibrated and georeferenced L1B data. MethaneAIR is the airborne simulator for MethaneSAT, a new satellite under development by MethaneSAT LLC, a subsidiary of the Environmental Defense Fund (EDF). MethaneSAT's goals are to precisely map over 80 % of the production sources of methane from oil and gas fields across the globe to an accuracy of 2–4 ppb on a 2 km2 scale. Efficient algorithms have been developed to perform dark corrections, estimate the noise, radiometrically calibrate data, and correct stray light. A forward model integrated into the L0–L1B processor is demonstrated to retrieve wavelength shifts during flight accurately. It is also shown to characterize the instrument spectral response function (ISRF) changes occurring at each sampled spatial footprint. We demonstrate fast and accurate orthorectification of MethaneAIR data in a three-step process: (i) initial orthorectification of all observations using aircraft avionics, a simple camera model, and a medium-resolution digital elevation map; (ii) registration of oxygen (O2) channel grayscale images to reference Multispectral Instrument (MSI) band 11 imagery via Accelerated-KAZE (A-KAZE) feature extraction and linear transformation, with similar co-registration of methane (CH4) channel grayscale images to the registered O2 channel images; and finally (iii) optimization of the aircraft position and attitude to the registered imagery and calculation of viewing geometry. This co-registration technique accurately orthorectifies each channel to the referenced MSI imagery. However, in the pixel domain, radiance data for each channel are offset by almost 150–200 across-track pixels (rows) and need to be aligned for the full-physics or proxy retrievals where both channels are simultaneously used. We leveraged our orthorectification tool to identify tie points with similar geographic locations in both CH4 and O2 images in order to produce shift parameters in the across-track and along-track dimensions. These algorithms described in this article will be implemented into the MethaneSAT L0–L1B processor.