Assessment for the severity of forest areas burnt by fire in the Phu Kradueng National Park by retrieving data from the Landsat 8 OLI Satellite
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Author |
Chaiphat Plybour and Teerawong Laosuwan
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e-ISSN |
1819-6608 |
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On Pages
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1282-1287
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Volume No. |
18
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Issue No. |
11
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Issue Date |
August 13, 2023
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DOI |
https://doi.org/10.59018/0623165
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Keywords |
remote sensing, digital image processing, forest fire, burnt severity, normalized burn ratio.
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Abstract
Forest fire is a problem that has been more and more severe due to the changing climate and other factors caused by humans. This study aimed at developing operation forms that are up-to-date for the analysis of and assessment of the severity of forest fire burnt fire in the Phu Kradueng National Park by retrieving data from the Landsat 8 OLI Satellite. The operation methods are as follows: 1) bring the data from the Landsat 8 OLI Satellite before and after forest fire incident to be adjusted on part of the wave radiation, 2) perform the analysis to find the Normalized Burn Ratio (NBR) and ∆NBR, 3) assess for the severity of forest areas burnt by forest fire in 7 levels, and 4) check for the accuracy of forest areas burnt by forest fire by using the method of visual interpretation into the data obtained from the Landsat 8 OLI Satellite that has passed the False Color Composite process from SWIR - NIR - Red wave ranges (RGB:754); the location was specified by creating 90 random points, dividing into forest area for 30 points, forest area burnt by forest fire for 30 points, and other areas that are not forest for 30 points. After that, consider the overall accuracy and Kappa statistics. It was found from the operation that NBR and ∆NBR can be well used to assess for the severity of the burning, and are consistent with the situations that occur. Also, there is consistency in the accuracy of the burnt forest area from forest fire by the method of visual interpretation.
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