Abstract
This study focus on the evaluation of scientific and industry-grade hyperspectral airborne sensors for the mapping of methane (CH4) emissions in the SWIR range. An imaging dataset from areas with known CH4 emissions was processed using the classic matched filter technique, and a new CH4 index. The airborne sensors were evaluated based on sensor design (spectral sampling and band centers), effectiveness of image processing, and impact of the signal-to-noise ratio (SNR) on CH4 mapping. The gas plume was mapped only in the images acquired with scientific-grade sensors. Results demonstrated that superior performance could be achieved when the position of band centers are closely located to the center of diagnostic CH4 absorption features. The impact of SNR was examined using a noise simulation, adding white noise to simulate images with varying SNR levels. Results indicate that the noisier …
| Original language | English |
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| Title of host publication | 2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) |
| Publisher | IEEE |
| Pages | 1871-1874 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-6654-0369-6, 978-1-6654-0368-9 |
| ISBN (Print) | 978-1-6654-4762-1 |
| DOIs | |
| Publication status | Published - 16 Jul 2021 |
| Event | IEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021 - Brussels, Virtual Conference, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 https://igarss2021.com |
Conference
| Conference | IEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021 |
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| Abbreviated title | IGARSS 2021 |
| Country/Territory | Belgium |
| City | Virtual Conference |
| Period | 12/07/21 → 16/07/21 |
| Internet address |