基于多源遥感数据的森林火灾损失评估

利用遥感技术进行森林火灾面积的提取是一种高效、快速的方法。通过分析卫星或无人机获取的遥感影像,可以准确地识别和量化受火灾影响的区域。该研究采用多源、多时相的遥感数据,结合归一化燃烧指数(NDVI)和变化检测算法,对江西省赣州市2022年“10·17”大火前后的影像进行处理和分析,提取火灾烧毁区域的边界。通过对比分析,计算受火灾影响的面积,并评估火灾的严重程度。

The use of remote sensing technology for extracting the area affected by forest fires is an efficient and rapid method.By analyzing remote sensing images obtained from satellites or drones,the areas impacted by fires can be accurately identified and quantified.This study employed multi-source and multi-temporal remote sensing data,integrating the Normalized Burn Ratio(NBR)and change detection algorithms to process and analyze images taken before and after the wildfire of October 17,2022 in Ganzhou City,Jiangxi Province,China.The boundaries of the fire-scarred areas were extracted.Through comparative analysis,the area affected by the fire was calculated,and the severity of the fire was assessed.