The objective of the study was to analyze the occurrence of forest fires in a conservation unit (CU) of the Brazilian savannah using remote sensing techniques and statistical methods developed for spatial punctual processes. To conduct the spatial analysis of fires, fire polygons mapped using Landsat 8 satellite images were used. The fires were considered into size classes to better illustrate the spatial patterns. The analysis of the spatial distribution of fires utilized Ripley's K-function, in addition to the Kcross function to verify spatial interaction. The results show that the year 2015 had the highest number of fires and burned area. Smaller fires represent a greater number of occurrences, located mostly on CU boundaries. The spatial distribution of forest fires is not random and can cluster on a scale of approximately 6 km. There is a strong spatial interaction between forest fires and traditional communities, particularly with fires smaller than 100 hectares. However, these communities are not responsible for large fires. These results contribute to better-targeted forest fire prevention and combat policies, serving as management tools for the protected area.

Graphical Abstract

中文翻译：

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使用遥感和统计方法分析巴西大草原保护单位的森林火灾：空间模式和相互作用

该研究的目的是利用遥感技术和为空间准时过程开发的统计方法来分析巴西大草原保护单元（CU）中森林火灾的发生情况。为了对火灾进行空间分析，使用了利用 Landsat 8 卫星图像绘制的火灾多边形。为了更好地说明空间模式，将火灾分为不同大小等级。火灾空间分布的分析利用 Ripley 的 K 函数以及 Kcross 函数来验证空间相互作用。结果显示，2015年的火灾数量和烧毁面积最高。较小的火灾代表发生的次数较多，主要发生在 CU 边界上。森林火灾的空间分布不是随机的，可以在约6公里的范围内聚集。森林火灾与传统社区之间存在很强的空间相互作用，特别是面积小于 100 公顷的火灾。然而，这些社区不对大火负责。这些结果有助于制定更有针对性的森林防火和扑救政策，并作为保护区的管理工具。

图形概要