Methodology for assessing burned area extent from wildfires using Sentinel-2 satellite data
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Author |
Chaiphat Plybour, Kongkiet Lucknuch, Natcha Laosuwan and Teerawong Laosuwan
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e-ISSN |
1819-6608 |
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On Pages
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457-463
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Volume No. |
20
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Issue No. |
8
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Issue Date |
June 28, 2025
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DOI |
https://doi.org/10.59018/042559
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Keywords |
remote sensing, burned areas, sentinel-2, NRR, NDWI, RBR.
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Abstract
Wildfires are a type of disaster that can cause significant damage to both living organisms and the environment. They can occur naturally or be triggered by human activities, leading to reduced air quality and damage to property and ecosystems. This study aims to develop a method for assessing the extent of burned areas from wildfires using Sentinel-2 satellite data, focusing on a case study of Doi Inthanon National Park, Chiang Mai Province, over three years: 2021, 2022, and 2023. The methodology utilized Sentinel-2 satellite data and three indices: the Normalized Burn Ratio (NBR), the Normalized Difference Water Index (NDWI), and the Relativized Burn Ratio (RBR). The results indicated that in 2021, the burned area was 133.8 rai (1 rai is equal to 0.16 hectares), in 2022, it was 46.9 rai, and in 2023, it was 31.7 rai. The year 2021 experienced the largest burned area, followed by 2022 and 2023, respectively.
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