Menu
×
John L. Dart Library
Closed
Phone: (843) 722-7550
West Ashley Library
Closed
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
Closed
Phone: (843) 805-6888
Village Library
Closed
Phone: (843) 884-9741
St. Paul's/Hollywood Library
Closed
Phone: (843) 889-3300
Otranto Road Library
Closed
Phone: (843) 572-4094
Mt. Pleasant Library
Closed
Phone: (843) 849-6161
McClellanville Library
Closed
Phone: (843) 887-3699
Keith Summey North Charleston Library
Closed
Phone: (843) 744-2489
John's Island Library
Closed
Phone: (843) 559-1945
Hurd/St. Andrews Library
Closed
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
Closed
Phone: (843) 869-2355
Dorchester Road Library
Closed
Phone: (843) 552-6466
Baxter-Patrick James Island
Closed
Phone: (843) 795-6679
Main Library
2 p.m. – 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
Closed
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
Today's Hours
John L. Dart Library
Closed
Phone: (843) 722-7550
West Ashley Library
Closed
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
Closed
Phone: (843) 805-6888
Village Library
Closed
Phone: (843) 884-9741
St. Paul's/Hollywood Library
Closed
Phone: (843) 889-3300
Otranto Road Library
Closed
Phone: (843) 572-4094
Mt. Pleasant Library
Closed
Phone: (843) 849-6161
McClellanville Library
Closed
Phone: (843) 887-3699
Keith Summey North Charleston Library
Closed
Phone: (843) 744-2489
John's Island Library
Closed
Phone: (843) 559-1945
Hurd/St. Andrews Library
Closed
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
Closed
Phone: (843) 869-2355
Dorchester Road Library
Closed
Phone: (843) 552-6466
Baxter-Patrick James Island
Closed
Phone: (843) 795-6679
Main Library
2 p.m. – 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
Closed
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Wang, Hongzhou; Fan, Xiangtao; Jian, Hongdeng; Yan, Fuli
- Source:
Remote Sensing; Mar2024, Vol. 16 Issue 6, p1023, 15p- Subject Terms:
- Source:
- Additional Information
- Abstract: Existing research indicates that detecting near-surface methane point sources using Sentinel-2 satellite imagery can offer crucial data support for mitigating climate change. However, current retrieval methods necessitate the identification of reference images unaffected by methane, which presents certain limitations. This study introduces the use of a matched filter, developing a novel methane detection algorithm for Sentinel-2 imagery. Compared to existing algorithms, this algorithm does not require selecting methane-free images from historical imagery in methane-sensitive bands, but estimates the background spectral information across the entire scene to extract methane gas signals. We tested the algorithm using simulated Sentinel-2 datasets. The results indicated that the newly proposed algorithm effectively reduced artifacts and noise. It was then validated in a known methane emission point source event and a controlled release experiment for its ability to quantify point source emission rates. The average estimated difference between the new algorithm and other algorithms was about 34%. Compared to the actual measured values in the controlled release experiment, the average estimated values ranged from −48% to 42% of the measurements. These estimates had a detection limit ranging from approximately 1.4 to 1.7 t/h and an average error percentage of 19%, with no instances of false positives reported. Finally, in a real case scenario, we demonstrated the algorithm's ability to precisely locate the source position and identify, as well as quantify, methane point source emissions. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.