Using spectral indices of Sentinel-2 và Landsat-8 data for fire severity mapping in Na Ngoi commune, Ky Son, Nghe An

http://jmes.humg.edu.vn/en/archives?article=942
  • Affiliations:

    1 Khoa Trắc địa - Bản đồ và Quản lý đất đai , Trường Đại học Mỏ - Địa chất, Việt Nam;
    2 Trường Đại học Đông Nam Nauy, Nauy

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  • Received: 8th-Aug-2019
  • Revised: 9th-Oct-2018
  • Accepted: 31st-Oct-2018
  • Online: 31st-Oct-2018
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Abstract:

Forest fire occurred on March 16-20, 2016 at Na Ngoi commune, Ky Son, Nghe An caused a huge of damages. The fire spread out over 10 km with more than 100 hectares of destroyed forest. This study presents the preliminary results of the burn severity of the Na Ngoi fires based on spectral indices computed by using the Sentinel-2 and Landsat-8 data acquired on pre-fire, post-fire, at the time of fire including Normalized Difference Vegetation Index (NDVI), Normalized Burn Ratio (NBR), differenced NDVI (dNDVI), Relativized Burn Ratio (RBR). Based on local thresholds of dNDVI and RBR values derived from field survey for Sentinel-2 and Landsat-8 data, fire severity maps with four levels consisting of low, moderate, high and very high were established. In addition, a surface temperature map generated from the Landsat-8 image acquired on March 20, 2016 indicates that the area with very high surface temperature corresponds to the area with high severity fire. Fire severity maps in Na Ngoi commune, Ky Son, Nghe An established by remote sensing method contribute for monitoring and managing fire forest in the western of Nghe An province

How to Cite
Nguyen, T.Van, Doan, P.Nam Thi and Bui, D.Tien 2018. Using spectral indices of Sentinel-2 và Landsat-8 data for fire severity mapping in Na Ngoi commune, Ky Son, Nghe An (in Vietnamese). Journal of Mining and Earth Sciences. 59, 5 (Oct, 2018).