基于多源遥感数据的森林火灾监测研究  

Research on Forest Fire Monitoring Based on Multi-source Remote Sensing Data

作　　者：马礼 罗建松 王逸凯 MA Li;LUO Jiansong;WANG Yikai(School of Information Engineering,China University of Geosciences,Beijing 100083,China;Heilongjiang Institute of Geomatics Engineering,Harbin 150081,China)

机构地区：[1]中国地质大学信息工程学院,北京100083 [2]黑龙江地理信息工程院,黑龙江哈尔滨150081

出　　处：《测绘与空间地理信息》2021年第5期141-145,共5页Geomatics & Spatial Information Technology

摘　　要：以2019年5月13日黑龙江省佳木斯市同江市洪河国家级自然保护区为研究对象,基于静止气象卫星Himawari-8(H8)和极轨气象卫星MODIS数据对火灾发生经过进行还原,基于高分一号(GF-1)和高分六号(GF-6)数据进行火烧迹地识别。试验结果表明,Himawari-8及MODIS数据都可较好地反演出火灾发生地点,但基于固定阈值算法对Himawari-8数据进行火灾反演的实效性更强,可实现10 min级监测,可以弥补MODIS卫星时间分辨率低的不足,其可以对林业火灾监测提供较好的技术支撑。基于GEMI模型进行的火烧迹地提取可以为灾情损失及灾后重建提供本地数据。This paper takes Honghe National Nature Reserve in Tongjiang city,Jiamusi city,Heilongjiang province on May 13th,2019 as the research object,restores the fire occurrence process based on the geostationary meteorological satellite Himawari-8(H8)and polar-orbiting meteorological satellite MODIS data,and identifies the burned area based on Gaofen-1(GF-1)and Gaofen-6(GF-6)data.The experimental results show that both Himawari-8 and MODIS data can better extract the location of fire,but the effectiveness of fire inversion based on fixed threshold algorithm for Himawari-8 data is stronger,which can realize ten-minute monitoring,make up for the low temporal resolution of MODIS satellite,and provide better technical support for forest fire monitoring.Extraction of burned areas based on GEMI model can provide local data for disaster losses and post-disaster reconstruction.

关 键 词：MODIS Himawari-8 火灾监测 洪河自然保护区 

分 类 号：P237[天文地球—摄影测量与遥感]