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Fire foci assessment in the Western Amazon (2000-2015)

机译:亚马逊西部(2000-2015)的火灾焦点评估

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摘要

Burning is a practice widely used by rural producers in Brazil, mainly in the Amazon region, as the main instrument to prepare the land for agriculture. In this study, we used the data of all heat foci in the Western Amazon, Brazil, provided by the National Institute for Space Research through its Database of Burns (BDQueimadas). This database often has some redundancies owing to the detection of the same burn more than once or capture of the same fire focus by different environmental satellites, resulting in an overestimation of data. In the present study, we optimize a method to reduce redundancies in an extensive database for the Western Amazon for the time period of 2000-2015, using a model for the identification and exclusion of duplicate heat foci, utilizing the ArcGIS 10.2 software. Kernel density estimates were used and correlated with average precipitation of each year obtained from Tropical Rainfall Measuring Mission (TRMM) satellite (product 3B43). From a total of 1,273,971 heat foci obtained from all environmental satellites, only 433,267 were maintained for the whole period of study (2001-2015), indicating a reduction of approximately 66%. NPP-375 (Suomi National Polar-orbiting Partnership, 375 m of spatial resolution) was the most redundant environmental satellite. The fire foci occurrence showed high correlations with rainfall as well as El Nino events. This work could also delineate areas in the Western Amazon that are most vulnerable to drought and resulting fires.
机译:燃烧是巴西农村生产者广泛应用的练习,主要在亚马逊地区,作为准备农业土地的主要仪器。在这项研究中,我们通过其伯恩斯数据库(Bdqueimadas)的国家空间研究所提供的巴西西亚亚亚亚岛西亚马逊的所有热焦点数据。由于检测到相同的烧伤或通过不同的环境卫星捕获相同的燃烧或捕获相同的火焰焦点,因此该数据库通常具有一些冗余,从而高估了数据。在本研究中,我们使用ArcGIS 10.2软件的识别和排除的模型来优化一种减少西亚亚马逊广泛数据库中的广泛数据库中的冗余方法。使用核密度估计和与热带降雨测量任务(TRMM)卫星获得的每年的平均降水相关(产品3B43)。从所有环境卫星获得的总共1,273,971个热量焦点,在整个研究期间(2001-2015)只维持了433,267个,表明减少约66%。 NPP-375(Suomi National Orbiting Partnership,375米的空间分辨率)是最冗余的环境卫星。火灶发生与降雨以及埃尔尼诺事件显示出高的相关性。这项工作也可以在西亚马逊的地区描绘,最容易受到干旱和产生的火灾。

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