Linearized Vegetation Indices Using a Formal Statistical Framework

نویسندگان

  • Cem Ünsalan
  • Kim L. Boyer
چکیده

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 ) [1] 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 ) [2], 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.

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تاریخ انتشار 2003