Results/Conclusions
During the 2008 summer, a total of 94 points from a 900 m systematic grid were sampled within an aspen cover layer extract from the 2005 SWReGAP analysis, verified for aspen cover using 2006 NAIP imagery, and assigned to one of four aspen health classes: 1) healthy, 2) dying, 3) dead, and 4) seral. A supervised classification for Cedar Mountain was conducted using classification and regression tree (CART) analysis using See5 data mining software. The predictor layers used in the model consisted of Landsat reflectance data, tassel cap transformations (BGW), vegetation indices (NDVI), 30-m Land Form data, and topographic ancillary data (slope, aspect, elevation) extracted from 30-m DEMs. The classification algorithm produced an aspen health map for Cedar Mountain consisting of 4 cover classes with an overall accuracy of 73.7%. Healthy aspen cover was the most abundant cover type, followed by dying, seral, and dead aspen stands (49%, 28%, 16%, and 7%, respectively). Damaged aspen stands (dying and dead) illustrating SAD characteristics accounted for 35% (4,210 ha) of the aspen cover on Cedar Mountain. This spatial product will be available to land managers of Cedar Mountain to assist in locating and implementing restoration projects on declining aspen stands.