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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Use of a radiative transfer model to simulate the postfire spectral response to burn severity
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Use of a radiative transfer model to simulate the postfire spectral response to burn severity

机译：使用辐射传递模型模拟燃烧后光谱对燃烧严重性的响应

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Burn severity is related to fire intensity and fire duration and provides a quantitative measure related to fire impact and biomass consumption. Traditional field-based methods to estimate burn severity are time consuming, labor intensive, and normally limited in spatial extent. Remotely sensed data may provide a means to estimate severity levels across large areas, but it is critical to understand the causes of variability in spectral response with variations in burn severity. To address this issue, a combined leaf (Prospect) and canopy (Kuusk) reflectance model was used to simulate the spectral response of a range of vegetation canopies with different burn severity levels. The key aspects examined in the simulations were change in soil color, change in foliage color from green to brown (burned), and change in leaf area index (LAI). For each simulation the composite burn index (CBI) was determined using the same rules used in the field to estimate burn severity levels. Statistical analyses examined the strength of the correlations between CBI and reflectance in individual wave bands in the 400–2500 nm range and CBI and a range of spectral indices combining pairs of wave bands. The results showed that wave bands in the near infrared (NIR) were most strongly related to the CBI of the simulated canopies because of their sensitivity to reduction in LAI. Spectral indices combining reflectance in wave bands in the NIR and shortwave infrared and red edge region showed stronger correlations with CBI. Forward stepwise regression with two to six terms selected wave bands in these regions and accounted for more than 90% of the variation in CBI.
机译：烧伤严重程度与火灾强度和火灾持续时间有关，并提供与火灾影响和生物质消耗有关的定量度量。传统的基于现场的方法来估计烧伤严重程度是费时，费力的，并且通常在空间范围上受到限制。遥感数据可能提供一种估算大面积严重性水平的方法，但是了解光谱响应随烧伤严重性变化而变化的原因至关重要。为了解决这个问题，使用了叶片（前景）和冠层（Kuusk）的组合反射模型来模拟具有不同烧伤严重性级别的一系列植被冠层的光谱响应。在模拟中检查的关键方面是土壤颜色的变化，叶子颜色从绿色变为棕色（燃烧）以及叶面积指数（LAI）的变化。对于每个模拟，使用本领域中用来估计燃烧严重性级别的相同规则来确定复合燃烧指数（CBI）。统计分析检查了400-2500 nm范围内各个波段的CBI和反射率之间的相关强度以及CBI和结合了各对波段的光谱指数范围。结果表明，由于其对LAI降低的敏感性，近红外（NIR）中的波段与模拟冠层的CBI密切相关。近红外波段，短波红外波段和红边波段的光谱反射率与CBI的相关性更强。在这些区域中使用两到六个项选择波段进行正向逐步回归，占CBI变化的90％以上。

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