Description: This dataset shows segments of on-system and off-system roadways exposed to future flooding from sea level rise (SLR). Roads were analyzed for exposure to future flooding under twenty SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). The individual features in this dataset represent areas along the roadways exposed to SLR flooding. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows segments of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR). Roads were analyzed for exposure to future flooding under twenty SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). The individual features in this dataset represent areas along the roadways exposed to SLR flooding. The road segments are sourced from the U.S. Census Bureau's TIGER/Line data (All Lines County-based Shapefiles) this dataset is from December 5th, 2023.Please Note: TIGER Roads segments classified as ramps were not included in the flood analysis. Elevated road segments, such as ramps, are often incorrectly identified as flooded. This is because the inundation models were created using a bare earth model DEM, which represents ground elevations. In cases of elevated roads, the DEM reports the land under the roadway and not the road surface.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: U.S. Department of Commerce, U.S. Census Bureau, Geography Division and University of Florida GeoPlan Center, and FDOT
Description: This dataset shows specific segments of Florida's railways exposed to sea level rise (SLR) flooding. Railways were analyzed for exposure to future flooding under twenty SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). The layer includes railways from Florida Dept of Transportation (FDOT) Strategic Intermodal System (SIS - 2025) and Freight and & Rail Office (FRO - 2024). SIS is Florida's high priority network of transportation facilities important to the state's economy and mobility. This dataset was created for the Sea Level Scenario Sketch Planning Tool.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset includes sea level rise (SLR) exposure to various transportation infrastructure facilities (airports, seaports, spaceports, and freight terminals) in Florida. Infrastructure was analyzed for exposure to future flooding under 20 SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). SLR exposure for each scenario was summarized for the entire infrastructure polygon. Infrastructure facilities were sourced from the Strategic Intermodal System (SIS), the UF GeoPlan Center, and other sources (see metadata process steps for more detail). The SIS is Florida's high priority network of transportation facilities important to the state's economy and mobility. Infrastructure facilities in this dataset include SIS and non-SIS facilities. This dataset was created for the 2025 update of the Sea Level Scenario Sketch Planning Tool.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset includes sea level rise (SLR) exposure to various transportation infrastructure facilities (airports, seaports, spaceports, and freight terminals) in Florida. Infrastructure was analyzed for exposure to future flooding under 20 SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). SLR exposure for each scenario was summarized for the entire infrastructure polygon. Infrastructure facilities were sourced from the Strategic Intermodal System (SIS), the UF GeoPlan Center, and other sources (see metadata process steps for more detail). The SIS is Florida's high priority network of transportation facilities important to the state's economy and mobility. Infrastructure facilities in this dataset include SIS and non-SIS facilities. This dataset was created for the 2025 update of the Sea Level Scenario Sketch Planning Tool.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset includes sea level rise (SLR) exposure to various transportation infrastructure facilities (airports, seaports, spaceports, and freight terminals) in Florida. Infrastructure was analyzed for exposure to future flooding under 20 SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). SLR exposure for each scenario was summarized for the entire infrastructure polygon. Infrastructure facilities were sourced from the Strategic Intermodal System (SIS), the UF GeoPlan Center, and other sources (see metadata process steps for more detail). The SIS is Florida's high priority network of transportation facilities important to the state's economy and mobility. Infrastructure facilities in this dataset include SIS and non-SIS facilities. This dataset was created for the 2025 update of the Sea Level Scenario Sketch Planning Tool.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This layer represents inundation (flooding) depths associated with a projected 2.5-feet of sea level rise (SLR) over mean higher high water (MHHW). Inundation depth values from NOAA have been reclassified from 0 to 23-feet for use within the AOI Tool Resilience Report, part of the Florida Department of Transportation's Environmental Screening Tool. Depth rasters were downloaded from National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM).Information from NOAA OCM: These data were created as part of the NOAA Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. These data depict the potential inundation of coastal areas resulting from current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.The raster data represent both the horizontal extent of inundation and depth above ground, in inches. The vector data represent the horizontal extent of both hydrologically connected and unconnected inundation.
Service Item Id: 3c21e74173ff4d0ca9a6dff1e7e9d5a3
Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center