Optimization of soil-adjusted vegetation indices
Optimization of soil-adjusted vegetation indices
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DOI：
10.1016/0034-4257(95)00186-7
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发表时间：
1996-02-01
影响因子：
13.5
通讯作者：
Baret, F
中科院分区：
文献类型：
--
作者：
Rondeaux, G;Steven, M;Baret, F
归一化植被指数（NDVI）对土壤背景和大气影响的敏感性，使得人们对开发新指数的兴趣日益增加，例如土壤调节植被指数（SAVI）、变换型土壤调节植被指数（TSAVI）、抗大气植被指数（ARVI）、全球环境监测指数（GEMI）、修正土壤调节植被指数（MSAVI）等，这些指数对这些外部影响的敏感性较低。从理论上讲，这些指数比NDVI更可靠，尽管它们尚未在卫星数据中得到广泛应用。本文重点测试和比较NDVI、SAVI、TSAVI、MSAVI和GEMI对土壤背景影响的敏感性。利用SAIL模型对包括砂土、黏土和黑泥炭在内的大范围土壤反射率进行指数模拟，同时考虑水分和粗糙度引起的额外变化。还重新审视了具有VI = (NIR - R)/(NIR + R + X)形式的SAVI系列指数的一般公式。参数X的值在最小化土壤影响方面至关重要。发现X = 0.16是优化值。通过方差分析比较指数性能。
The sensitivity of the normalized difference vegetation index (NDVI) to soil background and atmospheric effects has generated an increasing interest in the development of new indices, such as the soil-adjusted vegetation index (SAVI) transformed soil-adjusted vegetation index (TSAVI), atmospherically resistant vegetation index (ARVI), global environment monitoring index (GEMI) modified soil-adjusted vegetation index (MSAVI), which are less sensitive to these external influences. These indices are theoretically more reliable than NDVI, although they are not yet widely used with satellite data. This article focuses on testing and comparing the sensitivity of NDVI, SAVI, TSAVI, MSAVI and GEMI to soil background effects. Indices are simulated with the SAIL model for a large range of soil reflectances, including sand, clay, and dark peat, with additional variations induced by moisture and roughness. The general formulation of the SAVI family of indices with the form VI = (NIR - R)/(NIR + R + X) is also reexamined. The value of the parameter X is critical in the minimization of soil effects. A value of X = 0.16 is found as the optimized value. Index performances are compared by means of an analysis of variance.