Mangroves act as a transition zone between fresh and salt water ecotones by filtering and monitoring salinity levels along the coast of the Florida Everglades. Mangroves offer specialized habitats and provide shoreline stabilization, critical to a region beset by tropical storms. These areas give way to marshlands that depend on the services mangroves provide, as they require larger quantities of freshwater. In an attempt to assist in maintaining the health of the threatened mangrove species, efforts have been made within the Park to rebalance the ecosystem. The National Park Service requires a way to track the distribution of marshes and mangroves. The DEVELOP Ecological Forecasting team utilized Google Earth Engine and satellite imagery from Landsat 5 and 8 with comparison to existing vegetation maps. The team was able to conduct the classification to display mangrove and marsh regions in 1995, 2005, and 2015. After considering several geospatial analysis platforms, Google Earth Engine was selected due to the accessibility of its open source platform. In order to make the process replicable for the Everglades National Park a comprehensive methodology of classifying mangroves in Google Earth Engine was developed. The process was designed with the intent that the methodology be transferrable to personnel at Everglades National Park. The current extent map, in conjunction with TerrSet and transition maps, supported the creation of the forecasted models.