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首页> 外文会议>International Conference on Sensing Technology >Assessment of fire severity and vegetation response using moderate-resolution imaging spectroradiometer: Moderate resolution (MODIS) satellite images to assess vegetation response after a big fire event at the selected national parks around Sydney, Austra
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Assessment of fire severity and vegetation response using moderate-resolution imaging spectroradiometer: Moderate resolution (MODIS) satellite images to assess vegetation response after a big fire event at the selected national parks around Sydney, Austra

机译：使用中分辨率成像分光光度计评估火灾严重程度和植被响应：中等分辨率（MODIS）卫星图像，用于评估Austra悉尼附近选定国家公园发生大火事件后的植被响应

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Fire severity is the direct result of the combustion process and is related to the rate at which fuel is being consumed. Many studies have already been conducted to map fire severity using different burn severity indices and some of the research studies were based on field-based validation. A few studies have used the coarse and medium resolution satellite-based time series data to assess the fire severity and to assess the impacts on vegetation recovery. Therefore, this study is a remote sensing approach to map fire severity and to assess the vegetation regrowth after a big fire event (Black Christmas Bushfires) at the selected national parks in the outskirts of Sydney, Australia, using Moderate-resolution Imaging Spectroradiometer (MODIS) Data [from the year 2000 to 2016]. Two established fire severity indices, Normalised Burn Ratio (NBR) and differenced Normalised Burn Ratio (dNBR) were used to detect fire severity. Time series analysis of MODIS-derived vegetation indices [LAI (Leaf Area Index) and NDVI (Normalised Difference Vegetation Index)] was applied to understand the change in the phenological cycle after the fire events. Time-series analysis showed that MODIS-NDVI provides robust seasonality assessment than MODIS-LAI profile. The woodland area (Eucalypt Medium Woodland Forest) showed delayed vegetation recovery after the Big Christmas Bushfires.
机译：火灾的严重性是燃烧过程的直接结果，与燃料的消耗速度有关。已经进行了许多研究，以使用不同的燃烧严重性指标来绘制火灾严重性，并且一些研究基于现场验证。一些研究使用了基于中粗分辨率卫星的时间序列数据来评估火灾的严重性并评估对植被恢复的影响。因此，这项研究是使用中等分辨率成像光谱仪（MODIS）绘制火灾严重程度并评估重大火灾事件（黑色圣诞节丛林大火）发生在澳大利亚悉尼郊区选定的国家公园后的植被再生的遥感方法。 ）数据[从2000年到2016年]。使用两个已建立的火灾严重性指数，归一化燃烧率（NBR）和差异归一化燃烧率（dNBR）来检测火灾的严重性。利用MODIS衍生的植被指数[LAI（叶面积指数）和NDVI（归一化植被指数）]进行时间序列分析，以了解火灾后物候周期的变化。时间序列分析表明，MODIS-NDVI比MODIS-LAI配置文件提供更强大的季节性评估。大圣诞节丛林大火过后，林地地区（桉树中林地森林）的植被恢复受到延迟。

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