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首页> 外文期刊>International Journal of Wildland Fire >Mapping burned area in Alaska using MODIS data: a data limitations-driven modification to the regional burned area algorithm
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Mapping burned area in Alaska using MODIS data: a data limitations-driven modification to the regional burned area algorithm

机译：使用MODIS数据绘制阿拉斯加的烧毁区域：对区域烧毁区域算法的数据限制驱动的修改

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摘要

With the recently observed and projected trends of growing wildland fire occurrence in high northern latitudes, satellite-based burned area mapping in these regions is becoming increasingly important for scientific and fire management communities. Coarse-and moderate-resolution remotely sensed data products are the only viable source of comprehensive and timely estimates of burned area in remote, sparsely populated regions. Several MODIS (Moderate Resolution Imaging Spectroradiometer)-based burned area products for Alaska are currently available. However, our research shows that the existing burned area products underestimate the extent of the effect of fire by 15-70%. Environmental conditions limit the effective observation of land surface in Alaska to the period between May and September. These limitations are particularly noticeable in mapping late-season fires. Here we present an ecosystem-based modification to a previously developed burned area mapping approach designed to enhance the algorithm performance in Alaska. The mapping results show a consistently high performance of the adjusted algorithm in mapping burned areas in Alaska during large (2004 and 2005) and small (2006 and 2007) fire years. The adjusted burned area product maps burned areas identified by the Monitoring Trends in Burn Severity products with the overall accuracy of 90-93% and Kappa of 0.67-0.75%.
机译：随着最近在北部高纬度地区发生的荒地大火的发生和预计趋势的发展，这些地区基于卫星的燃烧区制图对科学和火灾管理社区变得越来越重要。粗略和中等分辨率的遥感数据产品是对人口稀少的偏远地区的燃烧面积进行全面，及时评估的唯一可行来源。目前有几种基于MODIS（中等分辨率成像光谱仪）的阿拉斯加燃烧区产品。但是，我们的研究表明，现有的燃烧区产品低估了火势的程度，幅度为15-70％。环境条件将对阿拉斯加陆地表面的有效观测限制在5月至9月之间。这些限制在绘制后期火灾时尤为明显。在这里，我们介绍了一种基于生态系统的对先前开发的燃烧区域映射方法的修改，该方法旨在增强阿拉斯加的算法性能。映射结果表明，在大型（2004年和2005年）和小型（2006年和2007年）火灾期间，调整算法在绘制阿拉斯加燃烧区域的映射中始终具有较高的性能。调整后的燃烧区产品图根据燃烧严重度产品的监测趋势确定了燃烧区，总体精度为90-93％，卡伯值为0.67-0.75％。

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