By virtue of area occupied, aggressive competitiveness after disturbance, and lack of preference by grazing or browsing animals, green rabbitbrush (Chrysothamnus viscidiflorus) ranks as one of the most important weedy shrubs on Intermountain rangelands (Tueller and Evans, 1969; Evans et al., 1973). Green rabbitbrush is relatively resistant to applications of phenoxy herbicides; and careful timing in relation to stage of growth, temperature, and soil moisture is needed, to obtain control with applications of 2,4-D [(2,4-dichlorophenoxy) acetic acid] (Hyder et al., 1962). The growth pattern of this deciduous shrub makes it difficult to predict the optimum date to spray (Young and Evans, 1974). Leaf buds burst in late winter, and optimum spray date follows roughly 2 months later. About 60% of the annual growth needed for optimum susceptibility to 2,4-D occurs in the last 2 weeks before the herbicide should be applied. The land manager is faced with a difficult timing problem, and must obtain his estimates of phenology from vast and often remote areas of variable elevation, topography, and soils. The collection of large sequential samples from inaccessible areas for technical interpretation is a natural application of remote sensing. Our purpose was to evaluate the use of color infrared aerial photography to predict optimum date for application of herbicides to control green rabbitbrush.
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