遥感
环境科学
可见红外成像辐射计套件
卫星
地球静止轨道
比例(比率)
辐射计
时间分辨率
图像分辨率
气象学
火灾探测
地理
计算机科学
地图学
工程类
航空航天工程
物理
人工智能
热力学
量子力学
作者
Yeji Kim,Bo Ram Kim,Seonyoung Park
标识
DOI:10.1080/2150704x.2023.2215947
摘要
Forest fire frequency is increasing owing to climate change. Therefore, better forest fire monitoring strategies are required, as they can start unexpectedly and spread rapidly. Earth observation satellites can efficiently prompt rapid responses to forest fires. In this study, Burned Area Index (BAI) and difference Normalized Burn Ratio (dNBR) were analysed to detect and monitor a forest fire in Korea using data from four sun-synchronous satellites and one geostationary satellite, and the results were compared in terms of their spatial, temporal, and spectral resolutions. KOMPSAT-3A efficiently estimated detailed information of the fire on a local-scale for its spatial resolution but was limited to only observing the local-scale fire due to its narrow swath. Sentinel-2 and Landsat-8 were adequate for observing the forest fire on both local- and large-scales and provided more spectral bands and temporal information, which increased the accuracy of detecting the fire damage. Visible Infrared Imaging Radiometer Suite (VIIRS) and GK-2A showed the highest temporal resolution and enabled early detection of the wildfire and its duration, but their low spatial resolutions limited damage estimates to the local-scale. Thus, satellites worldwide may be used synergistically to ensure efficient responses to frequent and massive forest fires.
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