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Recent Vegetation Fire Incidence in Russia

机译:俄罗斯最近的植被火灾事故

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MODIS hotspot data from NASA have now become a standard means of evaluating vegetation fires worldwide. Remote sensing is the most effective tool for large countries like Russia because it is hard to obtain exact, detailed forest fire data. Accumulated MODIS hotspot data of the nine years from 2002 to 2010 may allow us to assess recent changes in the vegetation fire incidence in Russia. This kind of analysis using various satellites is useful in estimating fire intensity and severity, burnt area, fire return interval and emission of greenhouse gases such as CO_2. This paper discusses recent changes in the incidence of vegetation fires across the entire area of Russia based on analysis results of MODIS hotspot data. Firstly, Russia and its vicinity (covered area: 40°-75°N, 30°-180°E) were divided into 135 regions with equal intervals of 5° latitude and 10° longitude. Introducing an annual mean hotspot density measure (AMHD, number of hotspots/km~2/yr), enabled Russian regional and seasonal fires to be analyzed and compared. In addition to this analysis, a detailed analysis was carried out for the Yakutsk region of Sakha using long-term weather data from 1830 to the present, recent daily weather data, hotspot data in 2002 and other data. The background to the intense fire activity near Sakha was determined by considering drought conditions and daily changes of air temperatures.
机译:来自NASA的MODIS热点数据现已成为评估全球植被火灾的标准方法。对于像俄罗斯这样的大国来说,遥感是最有效的工具,因为它很难获得准确,详细的森林火灾数据。从2002年到2010年这9年的累积MODIS热点数据可能使我们能够评估俄罗斯植被火灾发生率的最新变化。使用各种卫星进行的这种分析可用于估算火势和严重性,燃烧面积,回火间隔和温室气体(例如CO_2)的排放。本文基于MODIS热点数据的分析结果,讨论了俄罗斯整个地区植被火灾发生率的最新变化。首先,将俄罗斯及其附近地区(覆盖区域:北纬40°-75°,东经30°-180°)划分为135个区域,其等距间隔为5°经度和10°经度。引入年度平均热点密度度量(AMHD,热点数量/ km〜2 / yr),可以对俄罗斯的区域性和季节性火灾进行分析和比较。除此分析外,还使用1830年至今的长期天气数据,近期的每日天气数据,2002年的热点数据以及其他数据对萨哈的雅库茨克地区进行了详细的分析。考虑到干旱条件和气温的每日变化,确定了萨哈附近强烈火灾的背景。

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