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| DOI | 10.3390/rs16061023 |
| Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data | |
| 发表日期 | 2024 |
| EISSN | 2072-4292 |
| 起始页码 | 16 |
| 结束页码 | 6 |
| 卷号 | 16期号:6 |
| 英文摘要 | 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. |
| 英文关键词 | Sentinel-2; methane; matched filter; gas plumes |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001192509300001 |
| 来源期刊 | REMOTE SENSING
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/298899 |
| 作者单位 | Chinese Academy of Sciences; Aerospace Information Research Institute, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS |
| 推荐引用方式 GB/T 7714 | . Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data[J],2024,16(6). |
| APA | (2024).Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data.REMOTE SENSING,16(6). |
| MLA | "Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data".REMOTE SENSING 16.6(2024). |
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