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Building and Application of Vegetation Growth State EvaluationModel in the Yellow River Basin Based on MODISData in Time Series

机译:基于时间序列的ModisData的黄河流域植被生长状态评价模型的建设与应用

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It is the most important to evaluate changes of environment according to vegetation growth state. In this paper, vegetation growth rules in various underlying surface are analyzed, and the relation between standard deviation and mean value based in feature space is also studied. We select various kinds of vegetation in various positions of the Yellow River Basin. The pixels position of various vegetations in the feature space indicates that the related coefficients between standard and mean value be high, but the differences could be obvious with differences of various kinds. According to above analysis, set up VGSEM model ( VGSEM = 2 x 90 x arctan (S/P) (S —standard deviation , P — mean value ) ) , and then put into application in the Yellow River basin to evaluate vegetation growth state according to real condition of various subzone areas. The research result shows that the vegetation growth condition in the areas above Lanzhou and riverside regions is good, but there exists some deviation due to the difference between vegetation types , so the difference of cropland, leaf — fall and evergreen vegetation should be considered in the actual application.
机译:根据植被生长状态评估环境变化是最重要的。在本文中,分析了各种潜在表面的植被生长规则,还研究了基于特征空间的标准偏差与平均值之间的关系。我们在黄河流域的各种位置中选择各种植被。特征空间中各种植被的像素位置表明标准值与平均值之间的相关系数高,但不同类型的差异可能是显而易见的。根据上述分析,建立VGSEM模型(VGSEM = 2 x 90 x Arctan(S / P)(S-BSTAND偏差,p - 平均值)),然后在黄河流域应用于评估植被生长状态根据各种子区域区域的真实情况。研究结果表明,兰州和河滨地区以上地区的植被生长条件良好,但由于植被类型之间的差异存在一些偏差,因此应考虑农田,叶子和常绿植被的差异实际应用。

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