This paper focused on improving upon the National Wetland Inventory (NWI) utilizing analysis of remotely sensed LiDAR DEM data utilizing ArcGIS Pro. An odds ratio of approximately 15:1 research site wide suggests the algorithm was successful; however, individual site analysis by comparison of field data yielded mixed results upon individual sites. Further research could improve upon the algorithm by adding a minimum depth threshold, filtering by soil classification, and fully automating the process.

This paper focused on demonstrating the loss of canopy coverage in a small area within Raleigh, NC due to the destruction of ash trees by emerald ash borer (EAB). This was accomplished by comparing the Normalized Difference Vegetative Index (NDVI) of two remotely sensed images- one before EAB was discovered at the site and a second four years later.