The focus of this paper is on the capacity of remotely sensed data and spectral signature libraries to track indicator species of saltwater infiltration in coastal zones. Current challenges in largescale mapping of wetland migration include low frequency data collection as well as limited sensing techniques and data types. The use of spectral libraries, neural network analysis and both aircraft and Unmanned Aircraft Systems (UAS) collected data can enable Landscape Architects to move beyond common wetland and coastal delineations to see and map nuanced and incremental coastal change through the migration of high marsh indicator species in small cities and towns. Mapping these changes is a vital aspect of planning and designing for coastal adaptation that more accurately reflects current conditions, projects future trends, as well as displays the variety of pathways enabling saltwater infiltration.