Abstract
On fire event monitoring, images of MODIS sensor can provide timely information to identify the location and situation of fired areas. Without doubt the fire smoke on MODIS images is the key feature for fire event identification. However, the ground information of visible and near infrared (VNIR) bands is also be blocked by fire smoke. Nevertheless, due to the size of smoke particles and the wavelength of short wave infrared (SWIR), the SWIR radiance can still go through smoke and allow the ground information under the smoke can be revealed on the SWIR bands. Therefore, by using inverse distance weighted (IDW) interpolation approach, the smoke contamination in VNIR bands can be removed and the corresponding ground reflectance of VNIR bands can be interpolated and restored. The experimental result shows that a correlation between the restored image and original image is higher than 0.9 in simulation case. Additionally, in real cases, good visual fidelity in restored images can be observed as well.
Original language | English |
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State | Published - 2015 |
Event | 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines Duration: 24 Oct 2015 → 28 Oct 2015 |
Conference
Conference | 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 |
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Country/Territory | Philippines |
City | Quezon City, Metro Manila |
Period | 24/10/15 → 28/10/15 |
Keywords
- Fire smoke
- Image restoration
- Inverse distance weighted interpolation
- MODIS images