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Summary
DescriptionA three-tiered approach for methane detection ESA25093411.jpg |
English: This image shows the tiered satellite observation of a methane leak in Algeria on 4 January 2020. Near the Hassi Messaoud oil/gas field in Algeria, researchers from the SRON Netherlands Institute for Space Research identified a continuous methane emission from a leaking facility for six days. The methane plume, detected by Sentinel-5P over Algeria on 4 January 2020, extended for more than 200 km northeast. The team used a Sentinel-2 image to zoom in on the plumes’ origins and pinpointed the exact location of the leak to be an oil/gas well, while Sentinel-3 showed the leak continued for six days. In a recent paper published in Remote Sensing of Environment, researchers found that the Sentinel-3 satellites can retrieve methane enhancements from its shortwave infrared band measurements. Impressively, it can detect the largest methane leaks of at least 10 tonnes per hour, depending on factors like location and wind conditions, every single day. This puts it in a unique position to identify and monitor methane leaks. Read full story: Trio of Sentinel satellites map methane super-emitters |
Date | 20 September 2023 (upload date) |
Source | A three-tiered approach for methane detection |
Author | European Space Agency |
Activity InfoField | Observing the Earth |
Mission InfoField | Sentinel-2 Sentinel-3 Sentinel-5P |
System InfoField | Copernicus |
Licensing
This image contains data from a satellite in the Copernicus Programme, such as Sentinel-1, Sentinel-2 or Sentinel-3. Attribution is required when using this image.
Attribution: Contains modified Copernicus Sentinel data 2020
Attribution
The use of Copernicus Sentinel Data is regulated under EU law (Commission Delegated Regulation (EU) No 1159/2013 and Regulation (EU) No 377/2014). Relevant excerpts:
Free access shall be given to GMES dedicated data [...] made available through GMES dissemination platforms [...].
Access to GMES dedicated data [...] shall be given for the purpose of the following use in so far as it is lawful:
GMES dedicated data [...] may be used worldwide without limitations in time.
GMES dedicated data and GMES service information are provided to users without any express or implied warranty, including as regards quality and suitability for any purpose. |
Attribution
This media was created by the European Space Agency (ESA).
Where expressly so stated, images or videos are covered by the Creative Commons Attribution-ShareAlike 3.0 IGO (CC BY-SA 3.0 IGO) licence, ESA being an Intergovernmental Organisation (IGO), as defined by the CC BY-SA 3.0 IGO licence. The user is allowed under the terms and conditions of the CC BY-SA 3.0 IGO license to Reproduce, Distribute and Publicly Perform the ESA images and videos released under CC BY-SA 3.0 IGO licence and the Adaptations thereof, without further explicit permission being necessary, for as long as the user complies with the conditions and restrictions set forth in the CC BY-SA 3.0 IGO licence, these including that:
See the ESA Creative Commons copyright notice for complete information, and this article for additional details.
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This file is licensed under the Creative Commons Attribution-ShareAlike 3.0 IGO license. Attribution: ESA), CC BY-SA IGO 3.0
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6e761bd66d45cdda2400b74363edb7098fee9f5d
20 September 2023
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 00:45, 28 March 2024 | 1,920 × 1,080 (1.62 MB) | OptimusPrimeBot | #Spacemedia - Upload of https://www.esa.int/var/esa/storage/images/esa_multimedia/images/2023/09/a_three-tiered_approach_for_methane_detection/25093400-2-eng-GB/A_three-tiered_approach_for_methane_detection.jpg via Commons:Spacemedia |
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Orientation | Normal |
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Horizontal resolution | 72 dpi |
Vertical resolution | 72 dpi |
Software used | Adobe Photoshop 24.7 (Windows) |
File change date and time | 08:14, 20 September 2023 |
Color space | Uncalibrated |
Date and time of digitizing | 15:48, 9 March 2021 |
Date metadata was last modified | 10:14, 20 September 2023 |
Unique ID of original document | xmp.did:a9aa7b42-7151-294e-8c08-b1fccb6c2f03 |