I constructed a detailed 3D model of Miami Beach, incorporating sea level rise projections for the year 2030, 2050,and 2090 sourced from NOAA's Digital Coast Database. Utilizing the Batch Raster to Polygon Tool, I converted these raster datasets into Polygons. By employing the intersect relationship in the Select by Location Tool, I pinpointed the areas where sea level polygons and buildings overlap. This method was effective in identifying buildings susceptible to inundation. Subsequently, I used the Calculate Field tool to add a new field called "Inundated Year" assigning the respective inundation years. I symbolized my data based on the year of inundation to clearly visualize the results of the analysis. I utilized the inundated year and then created four symbol classes that indicated the building colors by the year of inundation. In conclusion, I employed a 3D exploratory analysis tool to examine the elevation profile, further interpreting the impact of sea level rise on the area.

IMPORTANT NOTE- The project has been made from the data provided by Esri in the MOOC Course- GIS for Climate Change. The ArcGIS dashboard was made by me.