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Relative Greenness Index for assessing curing of grassland fuel

机译:评估草地燃料固化的相对绿色指数

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摘要

Knowledge of the proportion of live and dead herbaceous fuel in grasslands is important in determining fire danger. This paper examines the Relative Greenness approach for quantifying these live and dead proportions. Relative Greenness places the Normalized Difference Vegetation Index (NDVI) in the context of a time series of measurements. The parameters used to describe the temporal distribution of NDVI and the time interval over which this distribution is assessed impact Relative Greenness and the inferred characteristics of the vegetation. In this paper, the Relative Greenness approach was investigated using different NDVI distribution parameters derived from eight-day composites of surface reflectance from the Moderate Resolution Imaging Spectroradiometer (MODIS). We assessed the accuracy of Relative Greenness for predicting the degree of curing (equivalent to the dead proportion of herbaceous fuel) measured at 25 grassland sites in Australia from 2005 to 2009. Results showed that Relative Greenness explained a greater proportion of the variance and provided a more accurate estimate of the degree of curing than linear regression against NDVI. Relative Greenness was further improved using alternative parameters of the NDVI distribution and by selecting an appropriate time interval over which this distribution was assessed.
机译:了解草原中活的和死的草本燃料的比例对于确定火灾危险很重要。本文研究了相对绿色方法来量化这些生死比例。相对绿色度将标准化差异植被指数(NDVI)放在时间序列的测量范围内。用于描述NDVI的时间分布和评估该分布的时间间隔的参数会影响相对绿色度和推断的植被特征。在本文中,使用了中分辨率成像光谱仪(MODIS)的八天表面反射率合成的不同NDVI分布参数研究了相对绿色度方法。我们评估了相对绿色度的准确性,以预测2005年至2009年在澳大利亚25个草地场址上测得的固化程度(相当于草本燃料的枯死率)。结果表明,相对绿色度解释了方差的较大比例,并提供了比针对NDVI的线性回归更准确地估计固化程度。使用NDVI分布的替代参数并选择评估该分布的适当时间间隔,可以进一步改善相对绿色度。

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