Central Alberta is home to one of Canada’s largest wetlands reserves. While these wetlands provide important ecosystem services to human communities, they have also greatly suffered from human disturbances. Efforts to restore disturbed wetlands over the last 30 years have yielded a population of restored wetlands that range in age, class, and condition, which provides an opportunity to study how wetlands respond to various restoration and management practices, and ultimately, assess the rate of return of ecosystem function. Traditional approaches to monitoring using satellite remote sensing methods have been largely unsuccessful since the small size and dynamic nature of central Alberta prairie-pothole wetlands frustrate efforts to delineate and map these features. Recently, Unmanned Aerial Systems (UAS) have emerged as a promising tool for efficient and cost-effective fine-scale mapping and assessment of condition of ecosystems; however, the use of UAS to map and assess wetlands has been limited because of the challenges associated with accurately identifying wetland vegetation species from imagery. The primary objectives of this project are to: 1) develop a list of wetland condition metrics that are reliable, predictable, robust, and measurable from UAS-based imagery, 2) combine the best-performing metrics into an index of wetland condition, and 3) empirically test the index on a selection of wetlands with a range of restoration ages. Results of this study will help advance the accuracy and reliability of UAS methods for evaluating wetland condition and function.