Revisiting the 2023 wildfire season in Canada

IF 5.7 Q1 ENVIRONMENTAL SCIENCES Science of Remote Sensing Pub Date : 2024-06-21 DOI:10.1016/j.srs.2024.100145
Flavie Pelletier , Jeffrey A. Cardille , Michael A. Wulder , Joanne C. White , Txomin Hermosilla
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Abstract

The area burned by wildfires in Canada in 2023 is unprecedented in historical records. To help ensure the safety of communities and support the mobilization of firefighting resources, rapid detection of areas affected by wildfires is required. Satellite data are ideally suited to provide near real-time wildfire information over large areas. At the same time, clouds, smoke, and haze can obscure the collection of observations from sensors typically used for mapping purposes. Established methods using coarse spatial resolution satellites (e.g., MODIS, VIIRS) rely upon the combination of daily revisit to enable the rapid and reliable detection of large active fires, in full or in part, and the application of modeling (including spatial buffering) to infer additional, yet still obscured, areas. While timely, these initial maps of wildfire-impacted areas do not capture small fires (those smaller than 200 ha) and, importantly, are not intended to differentiate unburned areas within fire perimeters. To address these limitations, we used data from Sentinel-2A and -2B, and Landsat-8 and -9, which form a virtual constellation of four satellites to revisit and map burned area in Canada's forested ecosystems for the 2023 fire season. Availing upon the high temporal data density and using the Tracking Intra- and Inter-year Change algorithm (TIIC), an aggregate seasonal mapping of wildfires resulted in a total area affected by wildfires in 2023 of 12.74 Mha. Within this total area, 9.51 Mha of treed land cover was impacted. Shrubs and wetlands comprised most of the remaining non-treed area that was burned. Using a 2022 map of aboveground treed biomass (AGB), approximately 0.649 Pg of AGB was impacted by 2023 wildfires, representing an 11-fold increase in AGB impacts relative to a long-term annual average of treed AGB loss. Differences between the estimate of total burned area reported herein and the total burned area indicated by the Natural Resources Canada (NRCan) Fire M3 hotspot fire perimeters (18.64 Mha) were analyzed. Overall, estimates of burned area differed by 5.9 Mha, including over 1.13 Mha of water identified as burned within the NRCan perimeters. Differences in land cover and AGB impacts between the two products were also investigated and quantified. TIIC enables the near-continuous capture of areas impacted by fire through the fire season, allowing for within-year refinement of total burned area, rapid interrogation of land cover types impacted, and estimation of associated biomass consequences.

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重温加拿大 2023 年野火季节
2023 年加拿大野火焚烧的面积在历史记录中是前所未有的。为帮助确保社区安全并支持消防资源的调动,需要快速探测受野火影响的地区。卫星数据非常适合提供近乎实时的大面积野火信息。与此同时,云层、烟雾和烟霾会遮挡通常用于测绘目的的传感器所收集的观测数据。使用粗空间分辨率卫星(如 MODIS、VIIRS)的既定方法依赖于每日重访的组合,从而能够快速可靠地发现全部或部分大面积活跃火灾,并应用建模(包括空间缓冲)来推断其他仍被遮挡的区域。虽然这些野火影响区域的初始地图非常及时,但并没有捕捉到小型火灾(小于 200 公顷的火灾),更重要的是,这些地图并不打算区分火灾周边的未燃烧区域。为了解决这些局限性,我们使用了来自 Sentinel-2A 和 -2B 以及 Landsat-8 和 -9 的数据,这四颗卫星组成了一个虚拟的卫星群,对 2023 年火灾季节加拿大森林生态系统中的烧毁区域进行了重访和测绘。利用高时间数据密度并使用跟踪年内和年际变化算法 (TIIC),绘制了野火季节总分布图,得出 2023 年受野火影响的总面积为 1274 万公顷。在这一总面积中,有 9.51 公顷的树木植被受到影响。灌木和湿地占其余被烧毁的非树木覆盖面积的大部分。使用 2022 年的地上树木生物量 (AGB) 图,2023 年的野火影响了约 0.649 Pg 的 AGB,与树木 AGB 损失的长期年平均值相比,AGB 影响增加了 11 倍。对本文报告的总烧毁面积估计值与加拿大自然资源部 (NRCan) Fire M3 热点火灾周界(18.64 兆公顷)显示的总烧毁面积之间的差异进行了分析。总体而言,烧毁面积的估计值相差 5.9 兆公顷,其中包括在 NRCan 周界范围内被确定为烧毁的超过 1.13 兆公顷的水域。此外,还对两种产品在土地覆被和 AGB 影响方面的差异进行了调查和量化。TIIC 能够在火灾季节近乎连续地捕捉受火灾影响的区域,从而在年内完善总烧毁面积,快速查询受影响的土地覆被类型,并估算相关的生物量后果。
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