Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data
Jakob Borchardt et al.
ABoVE: Hyperspectral Imagery from AVIRIS-NG, Alaskan and Canadian Arctic, 2017-2018C. E. Miller, R. O. Green, D. R. Thompson, A. K. Thorpe, M. Eastwood, I. B. Mccubbin, W. Olson-duvall, M. Bernas, C. M. Sarture, S. Nolte, L. M. Rios, M. A. Hernandez, B. D. Bue, and S. R. Lundeen https://doi.org/10.3334/ORNLDAAC/1569
The AVIRIS-NG hyperspectral imager has been used successfully to identify and quantify anthropogenic methane sources utilizing different retrieval and inversion methods. Here, we examine the adaption and application of the WFM-DOAS algorithm to AVIRIS-NG measurements to retrieve local methane column enhancements, compare the results with other retrievals, and quantify the uncertainties resulting from the retrieval method. Additionally, we estimate emissions from five detected methane plumes.
The AVIRIS-NG hyperspectral imager has been used successfully to identify and quantify...