The National Wetlands Inventory (NWI) Wetland Mapper has historically been the go-to mapping tool for estimating the presence and types of wetlands throughout the United States. Though once a valuable tool, the NWI geospatial dataset is based on data and imagery that is frequently 40-50 years old and is often incorrect. In an effort to improve wetland mapping capabilities in Tennessee, Skytec LLC, a company specializing in GIS technology, developed a predictive wetland model using the Wetland Identification Model (WIM), created by Dr. Gina O’Neil, which utilized LiDAR elevation data and machine learning. To develop the model, Skytec created a training dataset consisting of 2,558 confirmed wetland features, split into six distinct ecoregions of Tennessee. The purpose of this study is to evaluate the differences in the quantity and distribution of wetlands between the historic NWI and the new Skytec Model based on both county and HUC 10 watershed boundaries. Using ArcGIS Pro, I downloaded the NWI data and imported the Skytec Model for Tennessee and used the “summarize within” geoprocessing tool to summarize the wetland acreage and symbolize by percentage of total acreage according to the two selected boundaries. I also evaluated the presence and location of predicted “geographically isolated” wetlands in order to estimate the potential impacts from recently proposed legislation to remove state protections for such wetlands. My research revealed that nearly twice as many wetlands were predicted in Tennessee by the Skytec Model (> 1.5 million acres) than have historically been identified by the NWI (~860,000 acres), and that the majority of wetlands in the State are in West Tennessee in the Mississippi Delta region. Equally important, the Skytec Model predicts the likely presence of “geographically isolated” wetlands in two significant and vulnerable areas of Tennessee: above the Memphis Aquifer recharge zone, and in the Upper Duck River Watershed. This research highlights the great diversity of Tennessee’s hydrologic landscape by both county and watershed and identifies the areas which are most vulnerable to proposed legislation to de-regulate isolated wetlands. The loss of isolated wetlands could result in increased flooding emergencies and substantial economic damages, especially in urban areas.