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首页> 外文期刊>Agriculture, Forestry and Fisheries >A Geospatial Analysis of Bark Beetle-Induced Wildfire Risk Zones in the Okanogan Wenatchee National Forest
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A Geospatial Analysis of Bark Beetle-Induced Wildfire Risk Zones in the Okanogan Wenatchee National Forest

机译：Okanogan Wenatchee国家森林中树皮甲虫引起的野火危险区的地理空间分析

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Over the past 30 years mountain pine beetle (MPB) outbreaks have become widespread throughout the western US and Canada. MPB attacks leave acres of dead trees that may predispose forest landscapes to large fires. With the use of field work and geospatial technology, these outbreaks can be better mapped and assessed to evaluate forest health. This study is designed to map and classify bark beetle infestation in Washington's Wenatchee National Forest. Field work on seventeen randomly selected sites was conducted using the point-centered quarter method. Recent MPB outbreak areas were classified using National Agriculture Imagery Program (NAIP) imagery. A link between MPB attack and forest fires was then quantified using MODIS fire data. Lastly, a predictive infestation model was constructed using the following geophysical parameters: disturbance indices, Landsat TM5 classification of groundcover as well as vegetation stress using hyperspectral data. Selected imagery from the Hyperion sensor was used to run a minimum distance supervised classification in ENVI, in attempt to detect the early "green stage" of infestation. This study detected MPB spread and assessed the fire risk related to infestation.
机译：在过去的30年中，山松甲虫（MPB）爆发已在美国西部和加拿大广泛传播。 MPB攻击留下了几英亩的枯树，这可能使森林景观更容易遭受大火。通过使用野外工作和地理空间技术，可以更好地绘制和评估这些暴发以评估森林健康。这项研究旨在对华盛顿的韦纳奇国家森林中的树皮甲虫侵扰进行制图和分类。使用点中心四分之一方法对17个随机选择的站点进行了现场工作。最近的MPB爆发地区使用国家农业影像计划（NAIP）影像进行了分类。然后使用MODIS火灾数据量化MPB攻击与森林火灾之间的联系。最后，使用以下地球物理参数构建了预测性侵染模型：干扰指数，地被植物的Landsat TM5分类以及使用高光谱数据的植被胁迫。从Hyperion传感器中选择的图像用于在ENVI中进行最小距离监督分类，以试图检测出侵扰的早期“绿色阶段”。这项研究发现了MPB扩散并评估了与侵扰有关的火灾风险。

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