摘要
从2019年9月至2020年2月,澳大利亚的森林火灾持续数月,这是该国有记录以来最大的森林火灾。借助遥感卫星技术对已发生的森林火灾进行及时、有效地监测,有助于森林生态系统保护。本文以澳大利亚为研究区,基于MODIS数据,利用CART火点识别算法对研究区森林火灾进行识别,研究澳大利亚森林火灾时空分布规律。研究结果表明,2019年11月发生火灾次数最多,发生火灾火点个数达到了1410次,约占澳大利亚新南威尔士州火点总数的35.29%。
From September 2019 to February 2020,the forest fire in Australia lasts for several months,which is the largest forest fire in the country’s record,causing heavy damage to Australia.Forest fire can be monitored timely and accurately based on satellite remote sensing technology,and the forest ecosystem will be protected to a great extent.Based on MODIS data,this paper uses CART fire point recognition algorithm to identify forest fires in Australia,and studies the temporal and spatial distribution of forest fires in Australia.The results show that the number of fires in November 2019 is the most,with 1410 fire spots,accounting for 35.29%of the total number of fire spots in New South Wales,Australia.
作者
俞昊天
耿君
艾达娜·哈克木
黄世秀
朱璨阳
徐杰铭
袁刚
徐立晨
YU Haotian;GENG Jun;Adana Hakemu;HUANG Shixiu;ZHU Canyang;XU Jieming;YUAN Gang;XU Lichen(School of Civil Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《测绘通报》
CSCD
北大核心
2021年第S01期165-169,共5页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(41701383)
安徽省自然科学基金(1808085QD105)
关键词
森林火灾
MODIS
火点监测
火点识别
时空分布规律
forest fire
MODIS
fire-point monitoring
fire-point identification
spatial and temporal distribution