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Using Landscape Characteristics As Prior Information For Bayesian Classification Of Remotely Sensed Imagery, William J. Price, Bahman Shafii
Using Landscape Characteristics As Prior Information For Bayesian Classification Of Remotely Sensed Imagery, William J. Price, Bahman Shafii
Conference on Applied Statistics in Agriculture
Yellow starthistle is a dominant weed of north-central Idaho canyon grasslands. The distribution of yellow starthistle can be affected by general landscape characteristics, such as land use, as well as specific terrain related features such as elevation, slope, and aspect. Slope and aspect can be considered as indicators of plant community composition and distribution. Hence, these variables may be incorporated into prediction models to estimate the likelihood of yellow starthistle occurrence. An empirically derived nonlinear model based on landscape characteristics was developed to predict the likelihood of yellow starthistle occurrence in north central Idaho (Shafii, et al. 1999). While the …