Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data

Changming Yin, B. He, M. Yebra, Xingwen Quan, A. Edwards, Xiangzhuo Liu, Zhanmang Liao, Kaiwei Luo
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引用次数: 1

Abstract

In this study, the burn severity of several wildfires ignited at northern Australian tropical savannas area were estimated using the Forest Reflectance and Transmittance (FRT) radiative transfer model (RTM) and Sentinel-2A Multi-Spectral Instrument (MSI) satellite data. To alleviate the spectral confusion between severe (SV) and not-severe (NSV) burnt levels caused by sparse tree distribution, the MODIS Vegetation Continuous Fields (VCF) tree cover percentage data was used to constrain the inversion. The results showed that the accuracy of burn severity estimation significantly improves when considering the tree coverage, with overall accuracy for two study sites increasing from 65% to 81% and kappa coefficient from 0.35 to 0.55. Future work will focus on extending the methodology to other ecosystems.
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利用辐射传输模型和Sentinel-2数据估算北澳大利亚热带稀树草原的烧伤严重程度
利用森林反射率和透射率(FRT)辐射传输模型(RTM)和Sentinel-2A多光谱仪器(MSI)卫星数据,估算了澳大利亚北部热带稀树草原地区几起野火的燃烧程度。为了减轻由于树木分布稀疏造成的严重(SV)和非严重(NSV)烧伤程度的光谱混淆,利用MODIS植被连续场(VCF)树木覆盖百分比数据对反演进行约束。结果表明,考虑树木覆盖度后,烧伤严重程度估算的准确度显著提高,两个研究点的总体准确度从65%提高到81%,kappa系数从0.35提高到0.55。未来的工作将侧重于将该方法扩展到其他生态系统。
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