Objective: A remote sensing land cover change analysis was performed using MSAVI2 to quantify vegetation changes. WorldView2, WorldView3, and Landsat 8 imagery were used to conduct the analysis in Idrisi Taiga. Phenological synchronization was used to detect all changes between October 2013 and October 2014 and avoid misrepresentation of results common to products of anniversary date analysis. Six individual analyses were used to further understand land cover changes in the aforementioned phenological time span. Statistical thresholds were determined to better interpret image differencing outputs. Adjustments were also made for multi-sensor comparisons. Results of this study indicate WorldView imagery is more sensitive to recording change than Landsat 8 (although WorldView imagery was only available for a portion of the Orchard Combat Training Center study area). Landsat 8 imagery allowed for increased coverage at coarser sensitivity. Overall, both sensors showed reasonable agreement in detected change.