High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Javier Roger
  • Itziar Irakulis-Loitxate
  • Adriana Valverde
  • Javier Gorrono
  • Sabine Chabrillat
  • Maximilian Brell
  • Luis Guanter

Research Organisations

External Research Organisations

  • Polytechnic University of Valencia
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences
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Details

Original languageEnglish
Article number4102012
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume62
Early online date10 Jan 2024
Publication statusPublished - 30 Jan 2024

Abstract

Methane mitigation from anthropogenic sources such as in the production and transport of fossil fuels has been found as one of the most promising strategies to curb global warming in the near future. Satellite-based imaging spectrometers have demonstrated to be well-suited to detect and quantify these emissions at high spatial resolution, which allows the attribution of plumes to sources. The PRISMA satellite mission (ASI, Italy) has been successfully used for this application and the recently-launched EnMAP mission (DLR/GFZ, Germany) presents similar spatial and spectral characteristics (30 m spatial resolution, 30 km swath, about 8 nm spectral sampling at 2300 nm). In this work, we investigate the potential and limitations of EnMAP for methane remote sensing, using PRISMA as a benchmark to deduce its added-value. We analyze the spectral and radiometric performance of EnMAP in the 2300 nm region used for methane retrievals acquired using the matched-filter method. Our results show that in arid areas, EnMAP spectral resolution is about 2.7 nm finer and the signal-to-noise-ratio values are approximately twice as large, which leads to an improvement in retrieval performance. Several EnMAP examples of plumes from different sources around the world with flux rate values ranging from 1 to 20 t/h are illustrated. We show plumes from sectors such as onshore oil and gas and coal mining, but also from more challenging sectors such as landfills and offshore oil and gas. We detect two plumes in a close-to-sunglint configuration dataset with unprecedented flux rates of about 1 t/h, which suggests that the detection limit in offshore areas can be considerably lower under favorable conditions.

Keywords

    Absorption, EnMAP, Imaging, Instruments, matched-filter, Methane, methane, plumes, retrieval, Signal to noise ratio, Spatial resolution, Wind speed, matched filter, methane (CH ), Environmental Mapping and Analysis Program (EnMAP)

ASJC Scopus subject areas

Cite this

High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission. / Roger, Javier; Irakulis-Loitxate, Itziar; Valverde, Adriana et al.
In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 4102012, 30.01.2024.

Research output: Contribution to journalArticleResearchpeer review

Roger, J, Irakulis-Loitxate, I, Valverde, A, Gorrono, J, Chabrillat, S, Brell, M & Guanter, L 2024, 'High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission', IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 4102012. https://doi.org/10.1109/TGRS.2024.3352403
Roger, J., Irakulis-Loitxate, I., Valverde, A., Gorrono, J., Chabrillat, S., Brell, M., & Guanter, L. (2024). High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4102012. https://doi.org/10.1109/TGRS.2024.3352403
Roger J, Irakulis-Loitxate I, Valverde A, Gorrono J, Chabrillat S, Brell M et al. High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission. IEEE Transactions on Geoscience and Remote Sensing. 2024 Jan 30;62:4102012. Epub 2024 Jan 10. doi: 10.1109/TGRS.2024.3352403
Roger, Javier ; Irakulis-Loitxate, Itziar ; Valverde, Adriana et al. / High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission. In: IEEE Transactions on Geoscience and Remote Sensing. 2024 ; Vol. 62.
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AU - Roger, Javier

AU - Irakulis-Loitxate, Itziar

AU - Valverde, Adriana

AU - Gorrono, Javier

AU - Chabrillat, Sabine

AU - Brell, Maximilian

AU - Guanter, Luis

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KW - Signal to noise ratio

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KW - Wind speed

KW - matched filter

KW - methane (CH )

KW - Environmental Mapping and Analysis Program (EnMAP)

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VL - 62

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

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