Description: This dataset shows a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
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 a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Name: % Local Roadway in 100 & 500-Year Floodplain
Display Field: FULLNAME
Type: Feature Layer
Geometry Type: esriGeometryPolyline
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
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 a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
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 a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
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 a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
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 a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
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 a summary of on-system and off-system roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. 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). SLR exposure for each scenario was then summarized for the entire road length. The road segments are sourced from the Florida Department of Transportation Roads Characteristics Inventory (RCI) dataset are from April 2025.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: University of Florida GeoPlan Center, and FDOT
Description: This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. 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). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. 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: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: U.S. Department of Commerce, U.S. Census Bureau, Geography Division and University of Florida GeoPlan Center, and FDOT.
Description: This dataset contains features depicting Surge Zones created using a Surge Modeling application created for the Florida Statewide Regional Evacuation Update Study. The data was derived from National Hurricane Center SLOSH model runs on all the NOAA SLOSH basins throughout Florida. The runs create outputs for all different storm simulations from all points of the compass. Each direction has a MEOW (maximum envelope of water) for each category of storm (1-5), and all directions combined result in a MOMs (maximum of maximums) set of data. The MOMs are used in this surge model. The application uses three input parameters or data: elevation (from LIDAR), SLOSH basin results, and contiguous shoreline or sea polygons. The LIDAR data used has been converted to a DEM with 5ft pixel resolution. All processing takes place at the same raster resolution, so the resulting surge polygons (if 5ft) are a spline curve-fitting representation loosely following the outer third of each pixel. The shoreline features are used to process only contiguous surge zones for each category storm, so there are no lower surge "islands" in the interior of the surge output features.This version is clipped against a 2004, 1:12000 shoreline produced by the Florida Wildlife Conservation Commission (http://atoll.floridamarine.org/Data/Metadata/SDE_Current/fl_12k_2004_poly.htm).
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: Florida Regional Planing Councils and Florida Divisoin of Emergency Management - http://www.floridadisaster.org/res
Description: This dataset contains information about the flood hazards within the study area. These zones are used by the Federal Emergency Management Agency (FEMA) to designate the Special Flood Hazard Area (SFHA) and for insurance rating purposes. These data are the flood hazard areas that are or will be depicted on the Flood Insurance Rate Map (FIRM). There is one polygon for each contiguous flood zone designated. This information is required for all draft Digital Flood Insurance Rate Maps. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (100 year), the 0.2-percent-annual-chance flood event (500 year), and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. FEMA NFHL Product ID: NFHL_12_20241220, Latest Study Effective Date: 12/20/2024, Latest LOMR Effective Date: 11/12/2024. This dataset is an update to the DFIRM_FLDHAZ_APR24 layer.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: FEMA
National Flood Hazard Layer (NFHL) Status
https://www.floodmaps.fema.gov/NFHL/status.shtml
FEMA Flood Map Service Center: Search All Products
https://msc.fema.gov/portal/advanceSearch
Description: This dataset contains information about the flood hazards within the study area. These zones are used by the Federal Emergency Management Agency (FEMA) to designate the Special Flood Hazard Area (SFHA) and for insurance rating purposes. These data are the flood hazard areas that are or will be depicted on the Flood Insurance Rate Map (FIRM). There is one polygon for each contiguous flood zone designated. This information is required for all draft Digital Flood Insurance Rate Maps. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event (100 year), the 0.2-percent-annual-chance flood event (500 year), and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. FEMA NFHL Product ID: NFHL_12_20241220, Latest Study Effective Date: 12/20/2024, Latest LOMR Effective Date: 11/12/2024. This dataset is an update to the DFIRM_FLDHAZ_APR24 layer.
Service Item Id: 5d1e182af3954e44b64d718cc952a2ee
Copyright Text: FEMA
National Flood Hazard Layer (NFHL) Status
https://www.floodmaps.fema.gov/NFHL/status.shtml
FEMA Flood Map Service Center: Search All Products
https://msc.fema.gov/portal/advanceSearch