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摘要

引用本文:

DOI:

10.11834/jrs.20209177

收稿日期:

2019-06-01

修改日期:

2019-09-29

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FY-3D/MERSI-II全球火点监测产品及其应用
郑伟, 陈洁, 闫华, 刘诚, 唐世浩
国家卫星气象中心
摘要:

FY-3D/MERSI-II全球火点监测产品主要包括全球范围内的火点位置、亚像元火点面积和火点强度等信息,可用于实时监测全球范围的森林草原火灾、秸秆焚烧等生物质燃烧状况。火点判识算法主要根据中红外通道对高温热源的敏感特性,即含有火点的中红外通道像元辐亮度和亮温较远红外通道的辐亮度和亮温偏高,同时较周边非火点的中红外像元偏高,建立合适的阈值可探测含有火点的像元。亚像元火点面积估算主要使用中红外单通道估算,根据亚像元火点面积估算结果对火点强度进行分级,不同的级别表示不同程度的火点辐射强度。基于全球火点自动判识结果,每日生成0.01度分辨率的卫星遥感日全球火点产品,每月生产0.25*0.25度格点的全球月火点密度图。在利用FY-3D/MERSI-II火点产品开展的全球火点监测应用中,对多起全球重大野火事件进行了监测,为防灾减灾、全球气候变化研究、生态环境保护等方面提供卫星遥感信息支持。

Global Fire Monitoring Products of FY-3D/MERSI-II and Applications
Abstract:

Objective FY-3D/MERSI-II global fire products can be used for real-time monitoring to forest and grassland fires, straw burning and other biomass burning around worldwide. This paper introduces FY-3D/MERSI-II global fire products, including the method, product contents and applications. Method The method of fire spot discerning considered several conditions, like cloud contamination, cloud edge, and thin cloud influences, etc. The sub-pixel size evaluation uses single channel with fire temperature set as 750K. The fire intensity level is established by FRP, which calculated using sub-pixel size and fire temperature. Based on the results of automatic global fire spot discerning, the daily global fire products with spatial resolution of 0.01 degree are generated, and the global monthly fire spot density maps of 0.25*0.25 degree grid points are produced monthly. Result To verify the accuracy of automatic fire spot discerning in FY-3D/MERSI-II global fire monitoring, we select the results in several typical area, including Northeast China, Russian Far East, South America and South-central Africa from May to June 2018, and compared with the results by using interactive fire spot discerning method as the truth. The statistical analysis results shows the accuracy of the automatic fire monitoring algorithm reaches more than 95%,The daily FY-3D/MERSI-II global fire products contents including fire location, sub-pixel size (in hectare) and temperature, fire intensity level, FRP. Two application examples are introduced. One is for monitoring the huge wide fire happened in California, US in 2018, and another is for analyzing the temporal and spatial changing features of wide fire around Arctic Pole circle in summer of 2018. Conclusion: FY-3 global fire spot discerning algorithm takes into account a variety of weather conditions and underlying conditions, which can be better adapted to the monitoring of fire in different regions of the world. The results show that the algorithm has good accuracy. The rich detection information and global observation ability of Fengyun-3 Meteorological Satellite have reached the international advanced level of forest and grassland fire monitoring. Fengyun-3 global fire product can support for disaster prevention and mitigation, climate change, ecological environment protection in global wide. In the future, we will further develop methods such as burned area assessment and estimation of biomass carbon emissions, prediction of smoke impact, forest and grassland fire risk warning, etc. Fengyun Meteorological Satellite will play a greater role in global wildfire monitoring, early warning and prediction services.

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