Automatic Methane Plume Quantification Using Sentinel-2 Time Series

T. EHRET; A. DE TRUCHIS; M. MAZZOLINI; J.-M. MOREL; G. FACCIOLO

doi:10.1109/IGARSS46834.2022.9884134

Automatic Methane Plume Quantification Using Sentinel-2 Time Series

T. EHRET
, A. DE TRUCHIS
, M. MAZZOLINI
, J.-M. MOREL^*
, G. FACCIOLO

^*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

Methane emissions monitoring is essential to control methane pollution. In this paper, we propose an automatic practical methodology using time series to estimate the quantity of methane in a given plume using a multispectral satellite like Sentinel-2. Sentinel-2 proposes a low revisit time, a good spatial resolution and a low acquisition cost. Contrary to previous methods, the proposed approach does not require a manual selection of an optimal reference image. We compared its performance on an oil-and-gas site in Kazakhstan. This is the first step toward an automatic global monitoring system for methane plume detection and quantification with these satellites.

Original language	English
Title of host publication	IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	IEEE
Pages	1955-1958
Number of pages	4
ISBN (Electronic)	9781665427920
ISBN (Print)	9781665427937
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9884134
Publication status	Published - 2022
Externally published	Yes

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

It was partly financed by Office of Naval research grant N00014-17-1- 2552, DGA Astrid project « filmer la Terre » n° ANR-17-ASTR-0013-01, MENRT.

UN SDGs

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

SDG 13 Climate Action

Keywords

automatic
Methane
monitoring
quantification
satellite
sentinel-2

Access to Document

10.1109/IGARSS46834.2022.9884134

Cite this

EHRET, T., DE TRUCHIS, A., MAZZOLINI, M., MOREL, J.-M., & FACCIOLO, G. (2022). Automatic Methane Plume Quantification Using Sentinel-2 Time Series. In IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1955-1958). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9884134

@inproceedings{922151c4418644f79a17fb2f8b0ab125,

title = "Automatic Methane Plume Quantification Using Sentinel-2 Time Series",

abstract = "Methane emissions monitoring is essential to control methane pollution. In this paper, we propose an automatic practical methodology using time series to estimate the quantity of methane in a given plume using a multispectral satellite like Sentinel-2. Sentinel-2 proposes a low revisit time, a good spatial resolution and a low acquisition cost. Contrary to previous methods, the proposed approach does not require a manual selection of an optimal reference image. We compared its performance on an oil-and-gas site in Kazakhstan. This is the first step toward an automatic global monitoring system for methane plume detection and quantification with these satellites.",

keywords = "automatic, Methane, monitoring, quantification, satellite, sentinel-2",

author = "T. EHRET and \{DE TRUCHIS\}, A. and M. MAZZOLINI and J.-M. MOREL and G. FACCIOLO",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9884134",

language = "English",

isbn = "9781665427937",

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

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}

EHRET, T, DE TRUCHIS, A, MAZZOLINI, M, MOREL, J-M & FACCIOLO, G 2022, Automatic Methane Plume Quantification Using Sentinel-2 Time Series. in IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, IEEE, pp. 1955-1958. https://doi.org/10.1109/IGARSS46834.2022.9884134

Automatic Methane Plume Quantification Using Sentinel-2 Time Series. / EHRET, T.; DE TRUCHIS, A.; MAZZOLINI, M. et al.
IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE, 2022. p. 1955-1958 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July).

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

TY - GEN

T1 - Automatic Methane Plume Quantification Using Sentinel-2 Time Series

AU - EHRET, T.

AU - DE TRUCHIS, A.

AU - MAZZOLINI, M.

AU - MOREL, J.-M.

AU - FACCIOLO, G.

PY - 2022

Y1 - 2022

N2 - Methane emissions monitoring is essential to control methane pollution. In this paper, we propose an automatic practical methodology using time series to estimate the quantity of methane in a given plume using a multispectral satellite like Sentinel-2. Sentinel-2 proposes a low revisit time, a good spatial resolution and a low acquisition cost. Contrary to previous methods, the proposed approach does not require a manual selection of an optimal reference image. We compared its performance on an oil-and-gas site in Kazakhstan. This is the first step toward an automatic global monitoring system for methane plume detection and quantification with these satellites.

AB - Methane emissions monitoring is essential to control methane pollution. In this paper, we propose an automatic practical methodology using time series to estimate the quantity of methane in a given plume using a multispectral satellite like Sentinel-2. Sentinel-2 proposes a low revisit time, a good spatial resolution and a low acquisition cost. Contrary to previous methods, the proposed approach does not require a manual selection of an optimal reference image. We compared its performance on an oil-and-gas site in Kazakhstan. This is the first step toward an automatic global monitoring system for methane plume detection and quantification with these satellites.

KW - automatic

KW - Methane

KW - monitoring

KW - quantification

KW - satellite

KW - sentinel-2

UR - https://www.scopus.com/pages/publications/85140392152

U2 - 10.1109/IGARSS46834.2022.9884134

DO - 10.1109/IGARSS46834.2022.9884134

M3 - Conference paper (refereed)

AN - SCOPUS:85140392152

SN - 9781665427937

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1955

EP - 1958

BT - IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - IEEE

ER -

Automatic Methane Plume Quantification Using Sentinel-2 Time Series

Abstract

Publication series

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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