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

Author:

Foote Markus D.ORCID,Dennison Philip E.ORCID,Thorpe Andrew K.ORCID,Thompson David R.ORCID,Jongaramrungruang Siraput,Frankenberg ChristianORCID,Joshi Sarang C.

Funder

National Aeronautics and Space Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 52 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China;Science of The Total Environment;2024-11

2. Investigation of spectral bands and sensor parameters for methane emission detection imaging spectrometer;Journal of Quantitative Spectroscopy and Radiative Transfer;2024-10

3. Attributing Methane and CO2 Plumes by Emission Sector with the EMIT and AVIRIS-3 Imaging Spectrometers;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Exploring Methane Column Estimation from Prisma Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Monitoring Methane Emissions from Landfills Using Prisma Imagery;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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