Evaluation of forest fire damage based on Sentinel-2 images

Hui Wang; Xiaohua Zhang; Wenxiang Xue; Chaoyun Qin; YuPing Wu; Shuyuan Wang; Peng Qiu

doi:10.1117/12.2625575

9 December 2021 Evaluation of forest fire damage based on Sentinel-2 images

Hui Wang, Xiaohua Zhang, Wenxiang Xue, Chaoyun Qin, YuPing Wu, Shuyuan Wang, Peng Qiu

Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 121290F (2021) https://doi.org/10.1117/12.2625575
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China

Abstract

The evaluation of forest fire damage degree is a particularly important operational need in carrying out forest fire rehabilitation work. Comparing to traditional evaluation methods, satellite remote sensing is faster and more effective with a larger field of view, which is supposed to be used to evaluate the degree of forest fire. The paper takes the forest fire of Datong Volcano Group Geopark on April 30, 2020 as the research object. Firstly, sentinel-2 satellite images were acquired before, during and after the fire periods, and the images were band synthesized and calculate the remote sensing index, and finally the change detection method was used to analyze the extent of forest damage after the fire. The results show that the combined short-wave infrared and near-infrared bands of sentinel-2 satellite can be used to detect the origin of fire and fire line. Normalized Burn Ratio (NBR) shows fire area intuitively and Differenced Normalized Burn Ratio (dNBR) shows how severe the forest is damaged. After the fire, the slightly damaged area is the largest and the extremely severely damaged area is the smallest and the damage evaluation can provide an effective technical method for subsequent forestry vegetation restoration and forest fire prevention.

Citation Download Citation

Hui Wang, Xiaohua Zhang, Wenxiang Xue, Chaoyun Qin, YuPing Wu, Shuyuan Wang, and Peng Qiu "Evaluation of forest fire damage based on Sentinel-2 images", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 121290F (9 December 2021); https://doi.org/10.1117/12.2625575

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KEYWORDS

Satellites

Vegetation

Combustion

Earth observing sensors

Satellite imaging

Short wave infrared radiation

Near infrared

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