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首页> 外文期刊>Journal of Environmental Management >Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data
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Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data

机译：火灾和燃烧严重性评估：使用现场数据校准相对差异归一化燃烧比（RdNBR）

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The assessment of burn severity is highly important in order to describe and measure the effects of fire on vegetation, wildlife habitat and soils. The estimation of burn severity based on remote sensing is a powerful tool that, to be useful, needs to be related and validated with field data. The present paper explores the relationships between field accessible variables and Relative Differenced Normalized Burn Ratio (RdNBR) index by using linear mixed-effects models and boosted regression trees, based on data from 28 large fires and 668 field measurements across three countries in southern Europe. The RdNBR clearly reflected the mean height of charred stem and loss of ligneous, living shrub and tree cover during the fire. The paper confirms that remote sensing indices provide an acceptable assessment of fire induced impact on forest vegetation but also highlights there are important between-fire variations due to specific contexts that modify these relationships. These variations can be effectively assessed and should be taken into account in future predictive efforts.
机译：为了描述和衡量火灾对植被，野生动植物栖息地和土壤的影响，燃烧严重性的评估非常重要。基于遥感的烧伤严重程度估算是一个强大的工具，有用的工具需要与现场数据相关并进行验证。本文基于来自欧洲南部三个国家的28次大火和668次现场测量的数据，通过使用线性混合效应模型和增强回归树，探索了现场可访问变量与相对差异归一化燃烧比（RdNBR）指数之间的关系。 RdNBR清楚地反映了大火烧焦的平均高度以及木质，活灌木和树木覆盖物的损失。该论文证实了遥感指数可以很好地评估火灾引起的对森林植被的影响，但同时也强调指出，由于特定的环境会改变这些关系，因此火灾之间存在重要的变化。这些变化可以得到有效评估，并应在未来的预测工作中予以考虑。

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