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Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior

Foote, Markus D. and Dennison, Philip E. and Thorpe, Andrew K. and Thompson, David R. and Jongaramrungruang, Siraput and Frankenberg, Christian and Joshi, Sarang C. (2020) Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior. IEEE Transactions on Geoscience and Remote Sensing, 58 (9). pp. 6480-6492. ISSN 0196-2892. https://resolver.caltech.edu/CaltechAUTHORS:20200921-111406916

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Abstract

The strong radiative forcing by atmospheric methane has stimulated interest in identifying natural and anthropogenic sources of this potent greenhouse gas. Point sources are important targets for quantification, and anthropogenic targets have the potential for emissions reduction. Methane point-source plume detection and concentration retrieval have been previously demonstrated using data from the Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG). Current quantitative methods have tradeoffs between computational requirements and retrieval accuracy, creating obstacles for processing real-time data or large data sets from flight campaigns. We present a new computationally efficient algorithm that applies sparsity and an albedo correction to matched the filter retrieval of trace gas concentration path length. The new algorithm was tested using the AVIRIS-NG data acquired over several point-source plumes in Ahmedabad, India. The algorithm was validated using the simulated AVIRIS-NG data, including synthetic plumes of known methane concentration. Sparsity and albedo correction together reduced the root-mean-squared error of retrieved methane concentration-path length enhancement by 60.7% compared with a previous robust matched filter method. Background noise was reduced by a factor of 2.64. The new algorithm was able to process the entire 300 flight line 2016 AVIRIS-NG India campaign in just over 8 h on a desktop computer with GPU acceleration.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/tgrs.2020.2976888DOIArticle
https://arxiv.org/abs/2003.02978arXivDiscussion Paper
ORCID:
AuthorORCID
Foote, Markus D.0000-0002-5170-1937
Dennison, Philip E.0000-0002-0241-1917
Thorpe, Andrew K.0000-0001-7968-5433
Thompson, David R.0000-0003-1100-7550
Frankenberg, Christian0000-0002-0546-5857
Additional Information:© 2020 IEEE. Manuscript received August 6, 2019; revised December 12, 2019, January 13, 2020, and January 30, 2020; accepted January 31, 2020. Date of publication March 12, 2020; date of current version August 28, 2020. This work was supported by the National Aeronautics and Space Administration (NASA) under Grant 80NSSC17K0575. The authors would like to acknowledge the National Aeronautics and Space Administration (NASA) Earth Science Division Sponsorship of the Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument and the efforts of the AVIRIS-NG team on the India Campaign. They are grateful for the support of NVIDIA Corporation by providing the GPU used for this research. A portion of this research was performed at the Jet Propulsion Laboratory (JPL), California Institute of Technology, under contract with NASA.
Funders:
Funding AgencyGrant Number
NASA80NSSC17K0575
NVIDIA CorporationUNSPECIFIED
NASA/JPL/CaltechUNSPECIFIED
Issue or Number:9
Record Number:CaltechAUTHORS:20200921-111406916
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200921-111406916
Official Citation:M. D. Foote et al., "Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6480-6492, Sept. 2020, doi: 10.1109/TGRS.2020.2976888
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105457
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:21 Sep 2020 18:54
Last Modified:21 Sep 2020 18:54

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