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An Approach to Compute the C Factor for Universal Soil Loss Equation Using EOS-MODIS Vegetation Index (VI)

机译:利用EOS-MODIS植被指数(VI)计算通用土壤流失方程C因子的方法

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C factor, known as cover and management factor in USLE, is one of the most important factors since it represents the combined effects of plant, soil cover and management on erosion, whereas it also most easily changed variables by men for it itself is time-variant and the uncertainty nature. So it's vital to compute C factor properly in order to model erosion effectively. In this paper we attempt to present a new method for calculating C value using Vegetation Index (VI) derived from multi-temporal MODIS imagery, which can estimate C factor in a more scientific way. Based on the theory that C factor is strongly correlated with VI, the average annual C value is estimated by adding the VI value of three growth phases within a year with different weights. Modified Fournier Index (MFI) is employed to determine the weight of each growth phase for the vegetation growth and agricultural activities are significantly influenced by precipitation. The C values generated by the proposed method were compared with that of other method, and the results showed that the results of our method is highly correlated with the others. This study is helpful to extract C value from satellite data in a scientific and efficient way, which in turn could be used to facilitate the prediction of erosion.
机译:C因子在USLE中被称为覆盖因子和管理因子,是最重要的因子之一,因为它代表了植物,土壤覆盖率和管理对侵蚀的综合影响,而它也是最容易被男性改变的变量,因为它本身就是时间-变体和不确定性。因此,至关重要的是正确计算C因子,以便有效地对侵蚀进行建模。在本文中,我们尝试提出一种利用多时相MODIS影像得出的植被指数(VI)计算C值的新方法,该方法可以更科学地估算C因子。基于C因子与VI密切相关的理论,通过将一年内三个权重不同的生长期的VI值相加,可以估算出年均C值。修正傅里叶指数(MFI)用于确定植被生长的每个生长期的权重,而降水对农业活动的影响很大。将该方法产生的C值与其他方法的C值进行了比较,结果表明我们方法的结果与其他方法高度相关。这项研究有助于以科学有效的方式从卫星数据中提取C值,进而可用于促进对侵蚀的预测。

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