摘要
林火是干扰森林正常生长的重要因子之一,四川省位于林火高发区的西南林区;研究四川省林火发生规律有助于该省森林防火工作的开展。本研究基于MODIS火产品数据(MOD14A2/MYD14A2),采用Ripley K函数、中心点和标准差椭圆法、核密度分析法等空间统计方法并利用数据圆环图显示,对四川省2001—2012年林火时间和空间分布特征进行了分析。结果表明:2001—2012年四川省林火发生年际波动较大,林火高峰期出现在1、2、3、4、5月份,且林火发生数逐年增加;在较小空间尺度下(小于528 km)林火空间格局为聚集分布;12年间林火发生的中位数中心处于攀枝花市,它也是火点最密集区,高发区还包括凉山彝族自治州和甘孜藏族自治州,四川省林火总体分布趋势是向西北的甘孜藏族自治州方向扩展。
The forest fire is an important factor of disturbing forest growth.Sichuan province was located in the southwest forest area with a high occurrence density area of forest fires.It could contribute to the forest fire prevention work by analyzing the distribution characteristics of fire occurrence in Sichuan province.Based on the MODIS fire product(MOD14A2/MYD14A2),Ripley K function,center point,standard deviational ellipse method and Kerne1 Density method were employed and the data clock was used to explore the spatial-temporal distribution of forest fires in Sichuan province from 2001 to 2012.The results showed that the annual forest fires fluctuated greatly in Sichuan province.The peak periods of forest fires were in January,February,March,April and May,and the number of forest fires continued to rise every year.On smaller spatial scale(less than 528 km),the spatial pattern of forest fires was clustering.The median center of forest fires occurred in Panzhihua city in 12 years,which was the area with highest fire density.The hot spots of forest fires were also located at Liangshan Yi Autonomous Prefecture and Ganzi Tibetan Autonomous Prefecture.The overall spread trend was to extend northwest to Ganzi Tibetan Autonomous Prefecture.
作者
刘倩
覃先林
李晓彤
侯亚男
LIU Qian;QIN Xian-lin;LI Xiao-tong;HOU Ya-nan(Research Institute of Forest Resource Information Technology,Chinese Academy of Forestry,Beijing 100084,China)
出处
《四川林业科技》
2019年第6期6-12,18,共8页
Journal of Sichuan Forestry Science and Technology
基金
机载光学全谱段数据处理及林火预警技术研究(CAFYBB2018SZ009)
民用航天预研项目(D040402)
高分森林灾害监测应用示范子系统(二期)
关键词
MODIS火产品
时空特征
聚集分布
密度分析
四川省
MODIS fire product
Spatial-temporal characteristics
Clustering distribution
Density analysis
Sichuan Province
