INFRASTRUCTURE_P_SLR_SEGS_SEP25GeoPlanGeoPlanFeature Class132752INFRASTRUCTURE_P_SLR_SEGS_SEP25OBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.OBJECTIDOID4100ShapeSHAPEGeometry800Feature geometry.EsriCoordinates defining the features.NAMENAMEString10000Name of the facility. GeoPlanFAC_TYPEType of SIS facility. GeoPlanFacility TypeString5500SIS_IDSIS IDString1000SIS IDGeoPlanDESIGNATIOSIS designationFDOTSIS A facility that meets the FDOT threshold criteria to be designated as SISEmerging SIS A facility that meets the FDOT threshold criteria to be designated as Emerging SISSIS DesignationString4000COUNTYCounty Name. Calculate based off of first two characters in the ROADWAY field.GeoPlanUnknownCOUNTYString3500DISTRICTFDOT District the highway segment is located in.FDOTDISTRICTString1000OPERATINGOPERATINGString6000The responsible organization for management and operation of a facility (e.g., FEDERAL, STATE, COUNTY, MUNICIPAL, PRIVATE, WMD, etc).GeoPlanOP_CLASSOperating ClassString2000Classification of the operating entity. (e.g., public, private, quasi-public).GeoPlanDATASOURCEData SourceString10000Original data source.GeoPlanSOURCEDATESource Date of Original DatasetDate800Date of the original data source.GeoPlanNOTESNotes about feature. GeoPlanNOTESString10000FLAGFLAGString500Type of update that occurred.GeoPlanACRESFacility acreage. GeoPlanACRESDouble8388GCIDThe GeoPlan Center identification number. Please Note: This is a unique id for this layer unlike the AUTOID.GeoPlan110893GeoPlan Unique IDSmallInteger250AREA_ACArea of Full Infrastructure (Acres)Integer4100Area of Full Infrastructure (Acres)GeoPlanAC_INUNDATEDAcres InundatedInteger4100Acres InundatedGeoPlanAC_INUNDATED_DAcres Inundated in DecimalDouble8388Acres Inundated in DecimalGeoPlanPC_INUNDATED% InundatedInteger4100% InundatedGeoPlanPC_INUNDATED_D% Inundated in DecimalDouble8388% Inundated in DecimalGeoPlanSLR_FT_DESCRIPTSLR Inundation Grid Description (Feet)String2000SLR Inundation Grid Description (Feet)GeoPlanSLR_FLAGSLR FLAGString500SLR QAQC Reviewer FLAGGeoPlanSLR_NOTESSLR NotesString10000GeoPlanSLR QAQC Reviewer Notes.AC_DOUBLEArea of Full Infrastructure in Decimal (Acres)Double8388GeoPlanArea of Full Infrastructure in Decimal (Acres)SEGMENT_IDSegment ID (Unique)Integer4100Segment ID (Unique)GeoPlanSLR_GCIDGeoPlan Unique ID of the Full Infrastructure PolyInteger4100GeoPlan Unique ID of the Full Infrastructure PolyGeoPlanSOURCE_DATESOURCE_DATEDate800Source Data of Original Combined Dataset Creation.GeoPlanDESCRIPTNAMEGeoPlanDESCRIPTString10000FGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.AREASHAPE.AREADouble00Area of feature in internal units0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.20201201152929001.0INFRASTRUCTURE_P_SLR_SEGS_SEP2579291.304600791968.95080062259.318700743890.1651001ArcSDE Connection002ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>20251020114432002025102011443200FGDC CSDGM MetadataFALSE1500000005000FGDC20251020ArcGIS Metadata1.0Infrastructure Facilities- Areas Exposed to Future Flooding from Sea Level Rise in Florida - 2025vector digital data2025-09-26T00:00:00State of FloridaUniversity of Florida - GeoPlan CenterFlorida Geographic Data Library (FGDL)Florida Geographic Data Library (FGDL)University of Florida - GeoPlan CenterFlorida Geographic Data Library (FGDL)This dataset shows sea level rise (SLR) exposure to various transportation infrastructure (airports, seaports, spaceports, and freight terminals) in Florida. This dataset was created for the 2025 update of the Sea Level Scenario Sketch Planning Tool. The purpose of the Sea Level Scenario Sketch Planning Tool is to help identify transportation infrastructure vulnerable to current and future flood risks. The tool analyzes and visualizes current flood risks (100-year and 500-year floodplains and hurricane storm surge zones) as well as future flood risks using 2022 SLR scenarios from the National Oceanic and Atmospheric Administration (NOAA). The Tool includes a map viewer to visualize vulnerable infrastructure to flooding and GIS data layers available for download: https://sls.geoplan.ufl.edu/University of Florida GeoPlan Center and FDOTISO 19115 Topic CategoriestransportationTransportationSea Level RiseSea-Level ChangeSLRFlooding,Flood HazardInundationSea Level Scenario Sketch Planning ToolRoadwaysFutureVulnerabilityStrategic Intermodal SystemSISTransportationFloridaSea Level RiseSLR2025Future FloodingInundationSea Level Scenario Sketch Planning ToolRoadwaysVulnerabilityStrategic Intermodal SystemSISThis product has been compiled from SIS facilities data from the Florida Department of Transportation's Transportation Statistics Office and SLR inundation layers from NOAA. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation and the GeoPlan Center assumes no responsibility for any use of the information contained herein or any loss resulting therefrom.The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation.Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.5.3.57366This dataset includes areas of transportation infrastructure facilities exposed to sea level rise (SLR). Infrastructure data (airports, seaports, spaceports, and freight terminals) were 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). In this dataset, the SLR exposure is not summarized to the infrastructure facility polygon. The individual polygons in this dataset represent areas exposed to SLR flooding. 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.Publication date2025-09-26T00:00:00UF GeoPlan CenterJonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneFlorida Geographic Data Library (FGDL)Florida Geographic Data Library (FGDL)UF GeoPlan Center1-87.349688-79.90652130.70289024.506429State of FloridaFlorida2025Sea Level Scenario Sketch Planning Tool
https://sls.geoplan.ufl.edu/
NOAA Sea Level Rise Viewer Data Download
https://coast.noaa.gov/slrdata/
NOAA Sea Level Rise Viewer
https://coast.noaa.gov/slr/0.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassdatasetEPSG6.12(9.2.0)132752Spatial and Attribute Information2025-05-13T00:00:00University of Florida GeoPlan CenterErik FinlayGIS Analyst131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611date@fgdl.orgUSdata@fgdl.orgwww.fgdl.orgTo create this layer, GeoPlan compiled infrastructure facilities from the following source layers, available from FGDL:
- sis_airports_jan25 (SIS)
- sis_frghtterminals_jan25 (SIS)
- sis_gar_airports_jan25 (SIS)
- sis_seaports_jan25 (SIS)
- sis_spaceport_jan25 (SIS)
- bts_runways_nov24 (BTS)
- bts_airports_aug24 (BTS)
- gc_aviationbnd_jan16 (GeoPlan)
For source data available as points, GeoPlan created polygon boundary features using the PARCELS_2023 dataset, available from FGDL. GeoPlan Center Current and Future Inundation Process Steps:
1) Regional SLR inundation depth grids, representing ½ feet to 10 feet of sea level rise (SLR) inundation over mean higher high water (MHHW), were downloaded in raster format from NOAA https://coast.noaa.gov/slrdata/. These NOAA depth grids were distributed in 11 regions for Florida in .tif format. After downloading all regions, GeoPlan converted the tifs to polygons and appended the regions together to create statewide vector layers of SLR inundation. Polygons with vertices counts over 350,000 were run through the Dice tool and the Repair Geometry tool was run 3x.
2) Overlay analysis using the 20 scenarios (0.5-feet increments of SLR, from 0.5-feet to 10.0-feet) was run on RCI Roads (On/Off, Basemap), Rails, Infrastructure, and Tiger Roads. For each dataset in each and scenario, the analysis resulted in line segments, representing flooded road and rail sections, and polygons, representing flooded areas within the infrastructure boundaries.
3) QA/QC was conducted for each output dataset. Minimum threshold sizes for flooded segments was 10-ft length and infrastructure area was 7.3 square meters (approximately 1 cell size). Data below this minimum threshold was considered dirty data and removed from the outputs.
4) Further QA/QC was conducted on the Roads and Rails datasets to identify segments over water (bridges or overpasses). Because of the bare earth DEM used to create the inundation depth grids, bridges and overpasses identified as flooded are most likely false positives – with the inundation representing the areas under the bridge approaches or overpasses. These segments were reviewed and largely removed from the outputs.
5) Each output dataset (flooded segments and infrastructure polygons) was summarized to calculate the total flooded amounts in each feature and then joined to the full Roadway, Rail or Infrastructure feature(s).
6) The datasets were also analyzed for current flood exposure by overlaying existing DFIRM 100 and 500-year floodplains data and hurricane storm surge data (with 5 hurricane categories).
2025-09-26T00:00:00University of Florida GeoPlan CenterKate NorrisGeospatial Data ManagerUF GeoPlan Center131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611date@fgdl.orgUSdata@fgdl.orgwww.fgdl.orgThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0B09D4E94-0461-4529-8275-A47A2BB0E840externalf416fe94fbbb72292a03bd937a439df13e448021University of Florida GeoPlan CenterKate NorrisGeospatial Data ManagerUF GeoPlan Center131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611date@fgdl.orgUSdata@fgdl.orgwww.fgdl.orgTrueKate Norris/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
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