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Estimation of Forest Fire Severity and Post-fire Vegetation Recovery Using Landsat 8 OLI Imagery Data in Royal Initiative Project Area, Forest Fire Control Station, Doi Tung, Chiang Rai |
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| รหัสดีโอไอ | |
| Creator | Chinnawat Suya |
| Title | Estimation of Forest Fire Severity and Post-fire Vegetation Recovery Using Landsat 8 OLI Imagery Data in Royal Initiative Project Area, Forest Fire Control Station, Doi Tung, Chiang Rai |
| Contributor | Piyapong Sornchai |
| Publisher | School of Information and Communication Technology, University of Phayao |
| Publication Year | 2566 |
| Journal Title | The Journal of Spatial Innovation Development |
| Journal Vol. | 4 |
| Journal No. | 1 |
| Page no. | 21-33 |
| Keyword | Forest fire, Google earth engine, Difference Normalized Burn Ratio, Burn Recovery Ratio, Landsat 8 imagery |
| URL Website | https://ph01.tci-thaijo.org/index.php/jsid/index |
| Website title | The Journal of Spatial Innovation Development |
| ISSN | 2730-1494 |
| Abstract | Wildfires are a sudden form of damage that affect humans and the environment. The application of remote sensing technology in forestry is widely used, which helps to estimate the severity of forest fires and post-fire vegetation recovery. The purpose of this study was to assess the severity of forest fires and post-fire vegetation recovery on the Google Earth Engine platform from Landsat 8 surface reflectance satellite images during the years 2015 to 2021 using the Normalized Burn Ratio (NBR) index to identify the forest fire areas, and the Difference Normalized Burn Ratio (dNBR) index to assess the severity of forest fires. Then, post-fire vegetation recovery was assessed using the burn recovery ratio (BRR). It was found that most levels of the forest fire severity in this study area were unburned which was 33.01% to 88.84% of the area, and low severity was 6.91% to 61.46% of the area. At the part of the post-fire vegetation recovery level, most of the vegetation recovery level was very poor. In addition, the results of burn severity analysis (dNBR) with the results of vegetation recovery level (BRR) in 2021 were analyzed to calculate the percentage of vegetation recovery per area. It was found that the post-fire vegetation recovery was mostly partially complete level. The results of this study can be used to plan and prevent forest fires in recurring or vulnerable forest fire areas for increasing the rate of regeneration of vegetation. |
