一种由卫星遥感资料获得的修正的土壤调整植被指数

目前，通过卫星遥感资料确定区域面上植被分布、类型的研究受到许多实用领域的普遍重视，并由此提出了许多形式不同的植被指数。由于土壤背景噪声是造成植被指数不确定的重要原因之一，为此不同学者在标准化差值植被指数的基础上提出了多种旨在能消弱土壤背景噪声的土壤调整植被指数，如权重差值植被指数、土壤调整植被指数和转化土壤调整植被指数等等。这些植被指数不同程度上消弱了土壤背景噪声，但是必须预先已知下垫面植被的密度分布或覆盖百分比，也就是说仅适合于求解某一小范围植被覆盖变化较小下垫面上的植被指数，而且其动态范围也偏小。本文提出了一种修正的土壤调整植被指数，土壤调整因子由植被指数自身调整，不需要其它辅助信息。计算结果表明其动态范围较大，与最佳土壤调整因子下的土壤调整植被指数差异小，因此对应用卫星遥感资料求解区域面上土壤调整植被指数极其有效。

A Modified Soil-Adjusted Vegetation Index Obtained from Satellite Remote Sensing Data

There is currently a increasing attention on obtaining vegetation distribution, type by using satellite remote sensing data, many different vegetation indexes based on normalized deferent vegetation index have been developed These indexes, such as weighted deferent vegetation index, soil-adjusted vegetation index and transformed soil-adjusted index, can reduce the effects of soil background noise in some degree However the vegetation density distribution or green cover must be known at first, that is to say, it only fit for undersurface which the vegetation shifted slowly In this paper, we developed a modified soil-adjusted vegetation index, its soil-adjusted factor is self-modified only using satellite remote sensing data The calculation results show: its dynamic range is bigger than that of other vegetation indexes, the deviation from the optimal soil-adjusted vegetation index is the smallest one among the other vegetation indexes, therefore it is very efficient to gained regional soil-adjusted vegetation index using satellite remote sensing data