文献类型：期刊文献

中文题名：基于MODIS数据的全国林灌草火点时空特征分析

英文题名：shrub and grass fire spots in China based on MODIS data

作者：蒋凤[1] 覃先林[1] 黄水生[1] 胡心雨[1] 杨馨媛[1] 蒙方鑫[1]

第一作者：蒋凤

机构：[1]中国林业科学研究院资源信息研究所、国家林业和草原局林业遥感与信息技术重点实验室,北京100091

年份：2024

卷号：44

期号：9

起止页码：50-59

中文期刊名：中南林业科技大学学报

外文期刊名：Journal of Central South University of Forestry & Technology

收录：CSTPCD;;北大核心:【北大核心2023】；CSCD:【CSCD2023_2024】；

基金：国家重点研发计划项目(2022YFC3003100)。

语种：中文

中文关键词：森林防火;MODIS;Mann-Kendall趋势分析;优化的热点分析法;时空分布规律

外文关键词：forest fire prevention;MODIS;Mann-Kendall trend analysis;optimized hot spot analysis;spatio-temporal distribution pattern

分类号：S762.1

摘要：【目的】为在空间、时间尺度上对我国全域林灌草火灾发生特征有清晰的认知,进而对森林草原火灾预防决策提供参考。【方法】选用2003—2022年MODIS卫星火点数据产品和土地覆盖数据产品,以全国陆地区域作为研究范围,利用优化的热点分析方法来分析林灌草火点的空间分布特征;统计分析年际、月度以及我国传统节日林灌草火点的时间分布特征,并采用Mann-Kendall趋势分析法从年际、月度分析林灌草火点的时间变化趋势。【结果】1)林灌草火点的稠密区域主要分布在我国的广东省、云南省、广西壮族自治区和黑龙江省,稀疏区域主要分布在我国的河南省、河北省和山东省。2)属于草的卫星火点数量最多,主要发生在春季和冬季;属于灌丛的火点数量最少,主要发生在夏季。3)卫星火点数量在我国七大传统节日中占比排名前三的是:春节、清明节、劳动节。4)2003—2022年的年际和月度林灌草火点数量呈现波折起伏的走势,在年际变化上,2015年为全国火点数量发生突变年;在月度上,5月是火点数量发生突变的月份。【结论】1)我国南部火点稠密,中东部火点稀疏,且2003—2022年疏密区域未发生明显迁移,因而在实施防火部署时可进行差异化管理。2)春、冬两季草地分布的区域以及阔叶林分布区域在春、夏两季需加强防火管理。
【Objective】This paper is aim to have a clear understanding of the dynamic changes of forest fire occurrence in China from space and time scale,which provides reference for forest fire prevention decision.【Method】Taking the national land area as the study area,MODIS fire point data products as satellite hot spots(SHS)and land cover data products in 2003-2022 were selected to explore the spatial distribution characteristics of forest and shrub fire spots in 2003-2022 by using optimized hot spot analysis method.Statistical methods were adopted to analyze interannual,monthly and traditional festivals’characteristic.Mann-Kendall trend analysis method was used to study the trend of distribution of fire spots in forest,shrub and grass.【Result】(1)Dense regions of SHS were mainly aggregated in Guangdong province,Yunnan province,Guangxi Zhuang Autonomous Region and Heilongjiang province.Sparse regions of SHS were mainly concentrated in Henan,Hebei and Shandong province.(2)The number of SHS in grass was the highest frequency,which were mainly distributed in spring and winter,while the number of SHS in shrub was the lowest,which were significantly distributed in summer.(3)The rank of the top three of the seven traditional festivals in the number of SHS were as follows:Spring Festival,Tombsweeping Day and Labor Day.(4)According to the inter-annual and monthly statistics of the number of forest shrub fire spots from 2003 to 2022,the number of SHS showed a fluctuating trend.In terms of inter-annual changes,2015 was the year of abrupt change in the number of SHS.For monthly,May was the month of abrupt change in the number of SHS.【Conclusion】(1)SHS are clustered in the south and are sparse in the central and eastern regions,and no obvious migration occurs in the gathering regions from 2003 to 2022.Therefore,differentiated management can be carried out when implementing fire prevention deployment.(2)The distribution areas of grassland in spring and winter and broad-leaved forests in spring and summer need to strengthen fire prevention management.