Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data

E. OUERGHI; T. EHRET; G. FACCIOLO; E. MEINHARDT; J.-M. MOREL; C. DE FRANCHIS; T. LAUVAUX

doi:10.1109/IGARSS52108.2023.10282211

Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data

E. OUERGHI^*
, T. EHRET
, G. FACCIOLO
, E. MEINHARDT
, J.-M. MOREL
, C. DE FRANCHIS
, T. LAUVAUX

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

5 Citations (Scopus)

Abstract

Reducing methane emissions is essential to tackle climate change. Here, we address the problem of detecting automatically point source methane leaks using high resolution hyperspectral images from the PRISMA satellite. We use a variation of the Matched Filter (MF) called the Adjusted Spectral Matched Filter (ASMF) to detect methane plumes in satellite images. To remove false positives, the detected plumes are confirmed by comparing their orientation to the wind direction extracted from the standard meteorological reanalysis product ERA5. The ASMF reduces the fraction of false detections compared to the MF and without preventing the detection of plumes. To validate the method, we use a recently proposed dataset of manually annotated plumes on PRISMA images. We also compare our detection rate to the detection rate of methods using deep learning or the standard matched filter. We then show that our method outperforms those methods in terms of F1 score.

Original language	English
Title of host publication	IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	IEEE
Pages	7598-7601
Number of pages	4
ISBN (Electronic)	9798350320107
ISBN (Print)	9798350331745
DOIs	https://doi.org/10.1109/IGARSS52108.2023.10282211
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2023-July

Symposium

Symposium	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Country/Territory	United States
City	Pasadena
Period	16/07/23 → 21/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

Work partly financed by Office of Naval research grant N00014-20-S-B001, MENRT, and a PhD scholarship financed by MESRI (Ministère de l’Enseignement Supérieur, de la Recherche et de l’Innovation). Centre Borelli is also a member of Université Paris Cité, SSA and INSERM.

Keywords

Anomaly detection
Hyperspectral images
Matched filter
Methane
Wind data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IGARSS52108.2023.10282211

Cite this

OUERGHI, E., EHRET, T., FACCIOLO, G., MEINHARDT, E., MOREL, J.-M., DE FRANCHIS, C., & LAUVAUX, T. (2023). Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data. In IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 7598-7601). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282211

@inproceedings{d983afbea70a4e638cdf0a9ab9e00ce4,

title = "Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data",

abstract = "Reducing methane emissions is essential to tackle climate change. Here, we address the problem of detecting automatically point source methane leaks using high resolution hyperspectral images from the PRISMA satellite. We use a variation of the Matched Filter (MF) called the Adjusted Spectral Matched Filter (ASMF) to detect methane plumes in satellite images. To remove false positives, the detected plumes are confirmed by comparing their orientation to the wind direction extracted from the standard meteorological reanalysis product ERA5. The ASMF reduces the fraction of false detections compared to the MF and without preventing the detection of plumes. To validate the method, we use a recently proposed dataset of manually annotated plumes on PRISMA images. We also compare our detection rate to the detection rate of methods using deep learning or the standard matched filter. We then show that our method outperforms those methods in terms of F1 score.",

keywords = "Anomaly detection, Hyperspectral images, Matched filter, Methane, Wind data",

author = "E. OUERGHI and T. EHRET and G. FACCIOLO and E. MEINHARDT and J.-M. MOREL and \{DE FRANCHIS\}, C. and T. LAUVAUX",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10282211",

language = "English",

isbn = "9798350331745",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE",

pages = "7598--7601",

booktitle = "IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

}

OUERGHI, E, EHRET, T, FACCIOLO, G, MEINHARDT, E, MOREL, J-M, DE FRANCHIS, C & LAUVAUX, T 2023, Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data. in IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2023-July, IEEE, pp. 7598-7601, 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, California, United States, 16/07/23. https://doi.org/10.1109/IGARSS52108.2023.10282211

Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data. / OUERGHI, E.; EHRET, T.; FACCIOLO, G. et al.
IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE, 2023. p. 7598-7601 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data

AU - OUERGHI, E.

AU - EHRET, T.

AU - FACCIOLO, G.

AU - MEINHARDT, E.

AU - MOREL, J.-M.

AU - DE FRANCHIS, C.

AU - LAUVAUX, T.

PY - 2023

Y1 - 2023

N2 - Reducing methane emissions is essential to tackle climate change. Here, we address the problem of detecting automatically point source methane leaks using high resolution hyperspectral images from the PRISMA satellite. We use a variation of the Matched Filter (MF) called the Adjusted Spectral Matched Filter (ASMF) to detect methane plumes in satellite images. To remove false positives, the detected plumes are confirmed by comparing their orientation to the wind direction extracted from the standard meteorological reanalysis product ERA5. The ASMF reduces the fraction of false detections compared to the MF and without preventing the detection of plumes. To validate the method, we use a recently proposed dataset of manually annotated plumes on PRISMA images. We also compare our detection rate to the detection rate of methods using deep learning or the standard matched filter. We then show that our method outperforms those methods in terms of F1 score.

AB - Reducing methane emissions is essential to tackle climate change. Here, we address the problem of detecting automatically point source methane leaks using high resolution hyperspectral images from the PRISMA satellite. We use a variation of the Matched Filter (MF) called the Adjusted Spectral Matched Filter (ASMF) to detect methane plumes in satellite images. To remove false positives, the detected plumes are confirmed by comparing their orientation to the wind direction extracted from the standard meteorological reanalysis product ERA5. The ASMF reduces the fraction of false detections compared to the MF and without preventing the detection of plumes. To validate the method, we use a recently proposed dataset of manually annotated plumes on PRISMA images. We also compare our detection rate to the detection rate of methods using deep learning or the standard matched filter. We then show that our method outperforms those methods in terms of F1 score.

KW - Anomaly detection

KW - Hyperspectral images

KW - Matched filter

KW - Methane

KW - Wind data

UR - https://www.scopus.com/pages/publications/85178325915

U2 - 10.1109/IGARSS52108.2023.10282211

DO - 10.1109/IGARSS52108.2023.10282211

M3 - Conference paper (refereed)

AN - SCOPUS:85178325915

SN - 9798350331745

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 7598

EP - 7601

BT - IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - IEEE

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023

Y2 - 16 July 2023 through 21 July 2023

ER -

OUERGHI E, EHRET T, FACCIOLO G, MEINHARDT E, MOREL JM, DE FRANCHIS C et al. Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data. In IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE. 2023. p. 7598-7601. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS52108.2023.10282211

Methane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data

Abstract

Publication series

Symposium

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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Cite this