Modeling of multi-strata forest fire severity using Landsat TM Data
Modeling of multi-strata forest fire severity using Landsat TM Data
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DOI：
10.1016/j.jag.2010.08.002
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发表时间：
2011-02
期刊：
影响因子：
--
通讯作者：
Qingmin Meng;Ross K. Meentemeyer
中科院分区：
文献类型：
--
作者：
Qingmin Meng;Ross K. Meentemeyer
大部分的森林火灾严重度研究都是利用野外测量的综合燃烧指数（CBI）来表征森林火灾的严重度，并通过拟合CBI与Landsat影像的差分归一化燃烧比（dNBR）之间的关系来预测和绘制未采样点的森林火灾严重度。但对反映不同层次林火活动和生态响应的多层次林火烈度的研究较少。在这项研究中，使用现场测量的火灾严重度在五个森林层的优势乔木，中等大小的乔木，灌木，草本，基质层，和CBI的聚合措施作为响应变量，我们拟合统计模型与预测的Landsat TM波段，Landsat派生NBR或dNBR，图像差分，图像ratioing数据。我们模拟了加州历史上最大的野火--大苏尔盆地复合体火灾中的多层森林火灾。我们探讨了火灾后的陆地卫星波段，图像差分，图像比例对火灾严重程度建模的潜在贡献，并与广泛使用的NBR和dNBR进行了比较。使用火灾后陆地卫星波段组合的模型比NBR、dNBR、图像差分和图像比率法的性能好得多。我们预测和映射在整个大苏尔火灾地区的多层次森林火灾的严重程度，并发现整体措施CBI是不是最佳的代表多层次的森林火灾的严重程度。
Most of fire severity studies use field measures of composite burn index (CBI) to represent forest fire severity and fit the relationships between CBI and Landsat imagery derived differenced normalized burn ratio (dNBR) to predict and map fire severity at unsampled locations. However, less attention has been paid on the multi-strata forest fire severity, which represents fire activities and ecological responses at different forest layers. In this study, using field measured fire severity across five forest strata of dominant tree, intermediate-sized tree, shrub, herb, substrate layers, and the aggregated measure of CBI as response variables, we fit statistical models with predictors of Landsat TM bands, Landsat derived NBR or dNBR, image differencing, and image ratioing data. We model multi-strata forest fire in the historical recorded largest wildfire in California, the Big Sur Basin Complex fire. We explore the potential contributions of the post-fire Landsat bands, image differencing, image ratioing to fire severity modeling and compare with the widely used NBR and dNBR. Models using combinations of post-fire Landsat bands perform much better than NBR, dNBR, image differencing, and image ratioing. We predict and map multi-strata forest fire severity across the whole Big Sur fire areas, and find that the overall measure CBI is not optimal to represent multi-strata forest fire severity.