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Research on FBM characters of watershed vegetation feature based on NDVI

机译:基于NDVI的流域植被特征FBM特征研究

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It is an important research direction that quantifies and expresses the spatial distribution complexity of vegetation cover at the time of studying the relationship between vegetation and matter migration on the watershed. In this paper, fractal dimensions of FBM for watershed vegetation cover are calculated on the basis of GIS, FBM theory and spatial distribution of NDVI. The results showed that the spatial distribution of vegetation on the watershed possesses a strong self-similarity and can be described by FBM theory. Fractal dimensions of FBM for watershed vegetation cover is ranging from 2.5 to 3. When it is getting close to 2.5 the spatial distribution of vegetation is more complicated.. There are no direct relationships between fractal dimension of FBM for watershed vegetation cover and the averaged NDVI of watershed or coefficient variation of NDVI for pixel. There exists nagtive relationships between fractal dimension of FBM for watershed vegetation cover and the numbers of different NDVI per square kilometer. Fractal dimension of FBM for watershed vegetation cover increases with an rise of watershed area and is toward quasi-steady state when watershed area reaches to a given scale. Compared with the traditional quantified parameter of vegetation cover, fractal dimension of FBM takes advantage of conquering the effect of singular value of NDVE and being used widely.
机译:在研究流域植被与物质迁移之间的关系时,量化和表达植被覆盖的空间分布复杂性是重要的研究方向。本文基于GIS,FBM理论和NDVI的空间分布,计算了流域植被覆盖的FBM的分形维数。结果表明,流域植被的空间分布具有很强的自相似性,可以用FBM理论来描述。流域植被覆盖的FBM的分形维数在2.5到3之间。当接近2.5时,植被的空间分布更加复杂。流域植被覆盖的FBM的分形维数与平均NDVI之间没有直接关系像素的分水岭或NDVI的系数变化。流域植被覆盖的FBM的分形维数与每平方公里不同NDVI的数量之间存在负相关关系。流域植被覆盖的FBM的分形维数随流域面积的增加而增加,当流域面积达到一定规模时,其分形趋于准稳态。与传统的植被覆盖定量参数相比,FBM的分形维数具有克服NDVE奇异值的优势,得到了广泛的应用。

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