Impact of Scene-Specific Enhancement Spectra on Matched Filter Greenhouse Gas Retrievals from Imaging Spectroscopy
Markus D. Foote (1,2), Philip E. Dennison (3), Patrick R. Sullivan, (3), Kelly B. O'Neill (3), Andrew K. Thorpe (4), David R. Thompson (4),, Daniel H. Cusworth (4), Riley Duren (4,5), Sarang C. Joshi (1,2) ((1), Scientific Computing, Imaging Institute

TL;DR
This paper introduces scene-specific enhancement spectra that incorporate atmospheric and geometric parameters to improve the accuracy of greenhouse gas retrievals from imaging spectroscopy, addressing limitations of standard generic spectra.
Contribution
It develops a method to generate scene-specific target spectra for matched filter retrievals, accounting for atmospheric and geometric factors, enhancing retrieval accuracy.
Findings
Methane IME varied from -22% to +28.7% with generic spectra.
CO2 IME varied from -76.1% to -48.1% compared to scene-specific spectra.
IMEs are most sensitive to solar zenith angle and ground elevation.
Abstract
Matched filter (MF) techniques have been widely used for retrieval of greenhouse gas enhancements (enh.) from imaging spectroscopy datasets. While multiple algorithmic techniques and refinements have been proposed, the greenhouse gas target spectrum used for concentration enh. estimation has remained largely unaltered since the introduction of quantitative MF retrievals. The magnitude of retrieved methane and carbon dioxide enh., and thereby integrated mass enh. (IME) and estimated flux of point-source emitters, is heavily dependent on this target spectrum. Current standard use of molecular absorption coefficients to create unit enh. target spectra does not account for absorption by background concentrations of greenhouse gases, solar and sensor geometry, or atmospheric water vapor absorption. We introduce geometric and atmospheric parameters into the generation of scene-specific (SS)…
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