Climate change has intensified extreme weather and wildfire conditions globally. Canada experienced record-breaking wildfires in 2023 and 2025, burning millions of hectares and severely impacting the Prairie provinces, with Manitoba facing its worst season in 30 years. These events highlight the urgent need to understand and mitigate escalating fire risks. While existing research largely focuses on wildfire management approaches, few studies have explored the relationship between user network traffic and wildfire activity, despite the potential of such correlations to provide valuable spatiotemporal insights into wildfire dynamics. This paper investigates the relationship between wildfire intensity and network performance during the 2025 Manitoba wildfire season, using Visible Infrared Imaging Radiometer Suite (VIIRS) satellite-derived Fire Radiative Power data and large-scale Speedtest measurements. We found statistically significant correlations between wildfire intensity and several network performance metrics in both the province-wide and region-wide case studies, as measured by Spearman's correlation coefficients ($ρ$) and corresponding p-values. Throughput-related metrics showed inverse correlations with wildfire intensity (e.g., download speed: $ρ= -0.214$, $p\_value = 0.004$), whereas latency-related metrics showed positive correlations (e.g., round-trip time latency: $ρ= 0.162$, $p\_value = 0.0308$). The findings suggest satellite fire indicators and network performance metrics together can reveal vulnerabilities during extreme environmental events and support diaster response and recovery efforts.

翻译：气候变化加剧了全球极端天气和野火灾害。加拿大在2023年和2025年经历了创纪录的野火季，过火面积达数百万公顷，严重影响了草原省份，其中马尼托巴省遭遇了30年来最严重的野火季。这些事件凸显了理解并缓解日益严峻火灾风险的迫切性。尽管现有研究主要聚焦于野火管理方法，但鲜有研究探讨用户网络流量与野火活动之间的关系，而此类相关性具有为野火动态提供宝贵时空洞见的潜力。本文利用可见光红外成像辐射仪套件（VIIRS）卫星反演的火灾辐射功率数据和大规模Speedtest测量数据，研究了2025年马尼托巴野火季期间野火强度与网络性能之间的关系。通过斯皮尔曼相关系数（$ρ$）及相应p值分析，我们发现全省及区域范围的案例研究中，野火强度与多项网络性能指标间存在统计学显著的相关性。吞吐量相关指标与野火强度呈负相关（例如，下载速度：$ρ= -0.214$，$p\_value = 0.004$），而时延相关指标则呈正相关（例如，往返时间延迟：$ρ= 0.162$，$p\_value = 0.0308$）。研究结果表明，卫星火灾指标与网络性能指标相结合可揭示极端环境事件期间的脆弱性，并为灾害响应与恢复工作提供支持。