Remote sensing of burn severity: experience from western Canada boreal fires
Remote sensing of burn severity: experience from western Canada boreal fires
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DOI：
10.1071/wf08013
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发表时间：
2008-01-01
影响因子：
3.1
通讯作者：
Landry, R.
中科院分区：
文献类型：
--
作者：
Hall, R. J.;Freeburn, J. T.;Landry, R.
用综合烧伤指数(CBI)和差值归一化烧伤比(DNBR)评价了烧伤对火灾后生态影响的严重程度。这项研究评估了位于加拿大北部西部最近被烧毁的地区这两个变量之间的关系，这一地区在以前的研究中没有得到广泛的评估。特别令人感兴趣的是从建模、火灾行为预测(FBP)燃料类型的影响以及如何将现场观测纳入烧伤严重程度测绘过程的角度来评估CBI-dNBR关系的性质。对于所评估的火灾，非线性模型形式最好地描述了这些变量之间的关系，当所有火灾的数据被汇集到单个数据集时，获得了类似的统计性能。这项研究的结果表明，开发一个单一的模式在北方西部地区应用的潜力，但进一步的评估是必要的。由于研究结果证明了燃料对dNBR值的明显影响，这一评价可能包括按燃料类型分层。介绍了一种新的烧伤严重程度测绘方法，通过现场评估CBI来定义严重程度阈值，由此可以将新模型的开发直接纳入到测绘过程中。
The severity of a burn for post-fire ecological effects has been assessed with the composite burn index (CBI) and the differenced Normalized Burn Ratio (dNBR). This study assessed the relationship between these two variables across recently burned areas located in the western Canadian boreal, a region not extensively evaluated in previous studies. Of particular interest was to evaluate the nature of the CBI-dNBR relationship from the perspectives of modelling, the influence of fire behaviour prediction (FBP) fuel type, and how field observations could be incorporated into the burn severity mapping process. A non-linear model form best represented the relationship between these variables for the fires evaluated, and a similar statistical performance was achieved when data from all fires were pooled into a single dataset. Results from this study suggest the potential to develop a single model for application over the western region of the boreal, but further evaluation is necessary. This evaluation could include stratification by FBP fuel type due to study results that document its apparent influence on dNBR values. A new approach for burn severity mapping was introduced by defining severity thresholds through field assessment of CBI, and from which development of new models could be incorporated directly into the mapping process.