Abstract
Abstract Change vector analysis (CVA), a change detection algorithm specifically designed for use with multispectral data, was used to monitor changes occurring in and around the Chernobyl nuclear power plant that resulted from the April 1986 explosion and accidental radiation release. Two Landsat Thematic Mapper (TM) satellite change images were produced: (1) using data acquired on 29 April 1986 with data from 28 May 1988, and (2) the 28 May 1988 data with data acquired on 26 July 1992. Tasseled‐cap components were computed for each of the three TM scenes (brightness, greenness, and wetness). These three components were used as input to the CVA algorithm to measure significant changes occurring in the Chernobyl area. In both change images six of the eight possible change vectors were found to contain information easily correlated with terrain phenomenology. Due to the fact that tasseled‐cap features have a sound physical basis, there was a very high degree of correspondence between vector direction (i.e....
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