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Linearized vegetation indices using a formal statistical framework | IEEE Conference Publication | IEEE Xplore

Linearized vegetation indices using a formal statistical framework


Abstract:

Vegetation indices have been used extensively to estimate the vegetation density from satellite and airborne images for many years. In this paper, we first focus on one o...Show More

Abstract:

Vegetation indices have been used extensively to estimate the vegetation density from satellite and airborne images for many years. In this paper, we first focus on one of the most popular vegetation indices, the normalized difference vegetation index (NDVI) by J. W. Rouse (1974) and introduce a statistical framework to analyze it. We propose a solution to the saturation problem of this index based on our statistical framework. We investigate the relationship of this index with the ratio vegetation index (RVI) by C. F. Jordan (1969), another popular measure. Using the established statistical framework, we introduce new vegetation indices using blue and green bands in addition to the red and the near-infrared.
Date of Conference: 21-25 July 2003
Date Added to IEEE Xplore: 10 May 2004
Print ISBN:0-7803-7929-2
Conference Location: Toulouse, France

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