INFRASTRUCTURE_P_SLR_SEP25 GeoPlan GeoPlan Feature Class 193 INFRASTRUCTURE_P_SLR_SEP25 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 Shape SHAPE Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. NAME NAME String 100 0 0 Name of the facility. GeoPlan FAC_TYPE Type of SIS facility. GeoPlan Facility Type String 55 0 0 SIS_ID SIS ID String 10 0 0 SIS ID GeoPlan DESIGNATIO SIS designation FDOT SIS A facility that meets the FDOT threshold criteria to be designated as SIS Emerging SIS A facility that meets the FDOT threshold criteria to be designated as Emerging SIS SIS Designation String 40 0 0 COUNTY County Name. Calculate based off of first two characters in the ROADWAY field. GeoPlan Unknown COUNTY String 35 0 0 DISTRICT FDOT District the highway segment is located in. FDOT DISTRICT String 10 0 0 OPERATING OPERATING String 60 0 0 The responsible organization for management and operation of a facility (e.g., FEDERAL, STATE, COUNTY, MUNICIPAL, PRIVATE, WMD, etc). GeoPlan OP_CLASS Operating Class String 20 0 0 Classification of the operating entity. (e.g., public, private, quasi-public). GeoPlan DATASOURCE Data Source String 100 0 0 Original data source. GeoPlan SOURCEDATE Source Date of Original Dataset Date 8 0 0 Date of the original data source. GeoPlan NOTES Notes about feature. GeoPlan NOTES String 100 0 0 FLAG FLAG String 5 0 0 Type of update that occurred. GeoPlan ACRES Facility acreage. GeoPlan ACRES Double 8 38 8 GCID The GeoPlan Center identification number. Please Note: This is a unique id for this layer unlike the AUTOID. GeoPlan 1 10893 GeoPlan Unique ID SmallInteger 2 5 0 SLR0_5AC Acres Affected (0.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (0.5FT of SLR) SLR0_5AC_PCT % Affected (0.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (0.5FT of SLR) SLR1AC Acres Affected (1FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (1FT of SLR) SLR1AC_PCT % Affected (1FT of SLR) Integer 4 10 0 GeoPlan % Affected (1FT of SLR) SLR1_5AC Acres Affected (1.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (1.5FT of SLR) SLR1_5AC_PCT % Affected (1.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (1.5FT of SLR) SLR2AC Acres Affected (2FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (2FT of SLR) SLR2AC_PCT % Affected (2FT of SLR) Integer 4 10 0 GeoPlan % Affected (2FT of SLR) SLR2_5AC Acres Affected (2.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (2.5FT of SLR) SLR2_5AC_PCT % Affected (2.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (2.5FT of SLR) SLR3AC Acres Affected (3FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (3FT of SLR) SLR3AC_PCT % Affected (3FT of SLR) Integer 4 10 0 GeoPlan % Affected (3FT of SLR) SLR3_5AC Acres Affected (3.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (3.5FT of SLR) SLR3_5AC_PCT % Affected (3.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (3.5FT of SLR) SLR4AC Acres Affected (4FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (4FT of SLR) SLR4AC_PCT % Affected (4FT of SLR) Integer 4 10 0 GeoPlan % Affected (4FT of SLR) SLR4_5AC Acres Affected (4.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (4.5FT of SLR) SLR4_5AC_PCT % Affected (4.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (4.5FT of SLR) SLR5AC Acres Affected (5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (5FT of SLR) SLR5AC_PCT % Affected (5FT of SLR) Integer 4 10 0 GeoPlan % Affected (5FT of SLR) SLR5_5AC Acres Affected (5.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (5.5FT of SLR) SLR5_5AC_PCT % Affected (5.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (5.5FT of SLR) SLR6AC Acres Affected (6FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (6FT of SLR) SLR6AC_PCT % Affected (6FT of SLR) Integer 4 10 0 GeoPlan % Affected (6FT of SLR) SLR6_5AC Acres Affected (6.5FT of SLR) Integer 4 10 0 GeoPlan Acres Affected (6.5FT of SLR) SLR6_5AC_PCT % Affected (6.5FT of SLR) Integer 4 10 0 GeoPlan % Affected (6.5FT of SLR) SLR7AC Acres Affected (7FT of SLR) Integer 4 10 0 Acres Affected (7FT of SLR) GeoPlan SLR7AC_PCT % Affected (7FT of SLR) Integer 4 10 0 % Affected (7FT of SLR) GeoPlan SLR7_5AC Acres Affected (7.5FT of SLR) Integer 4 10 0 Acres Affected (7.5FT of SLR) GeoPlan SLR7_5AC_PCT % Affected (7.5FT of SLR) Integer 4 10 0 % Affected (7.5FT of SLR) GeoPlan SLR8AC Acres Affected (8FT of SLR) Integer 4 10 0 Acres Affected (8FT of SLR) GeoPlan SLR8AC_PCT % Affected (8FT of SLR) Integer 4 10 0 % Affected (8FT of SLR) GeoPlan SLR8_5AC Acres Affected (8.5FT of SLR) Integer 4 10 0 Acres Affected (8.5FT of SLR) GeoPlan SLR8_5AC_PCT % Affected (8.5FT of SLR) Integer 4 10 0 % Affected (8.5FT of SLR) GeoPlan SLR9AC Acres Affected (9FT of SLR) Integer 4 10 0 Acres Affected (9FT of SLR) GeoPlan SLR9AC_PCT % Affected (9FT of SLR) Integer 4 10 0 % Affected (9FT of SLR) GeoPlan SLR9_5AC Acres Affected (9.5FT of SLR) Integer 4 10 0 Acres Affected (9.5FT of SLR) GeoPlan SLR9_5AC_PCT % Affected (9.5FT of SLR) Integer 4 10 0 % Affected (9.5FT of SLR) GeoPlan SLR10AC Acres Affected (10FT of SLR) Integer 4 10 0 Acres Affected (10FT of SLR) GeoPlan SLR10AC_PCT % Affected (10FT of SLR) Integer 4 10 0 % Affected (10FT of SLR) GeoPlan DFIRM100AC Acres in 100-Year Floodplain (DFIRM) Integer 4 10 0 Acres in 100-Year Floodplain (DFIRM) GeoPlan DFIRM100PC % 100-Year Floodplain (DFIRM) Integer 4 10 0 % 100-Year Floodplain (DFIRM) GeoPlan DFIRM500AC Acres in 500-Year Floodplain (DFIRM) Integer 4 10 0 Acres in 500-Year Floodplain (DFIRM) GeoPlan DFIRM500PC % 500-Year Floodplain (DFIRM) Integer 4 10 0 % 500-Year Floodplain (DFIRM) GeoPlan DFIRMTOTAC Acres in 100 & 500-Year Floodplain (DFIRM) Integer 4 10 0 Acres in 100 & 500-Year Floodplain (DFIRM) GeoPlan DFIRMTOTPC % 100 & 500-Year Floodplain (DFIRM) Integer 4 10 0 % 100 & 500-Year Floodplain (DFIRM) GeoPlan CAT_1_AC Acres Affected Category 1 Integer 4 10 0 Acres Affected Category 1 GeoPlan CAT_1_PC % Affected Category 1 Integer 4 10 0 % Affected Category 1 GeoPlan CAT_2_AC Acres Affected Category 2 Integer 4 10 0 Acres Affected Category 2 GeoPlan CAT_2_PC % Affected Category 2 Integer 4 10 0 % Affected Category 2 GeoPlan CAT_3_AC Acres Affected Category 3 Integer 4 10 0 Acres Affected Category 3 GeoPlan CAT_3_PC % Affected Category 3 Integer 4 10 0 % Affected Category 3 GeoPlan CAT_4_AC Acres Affected Category 4 Integer 4 10 0 Acres Affected Category 4 GeoPlan CAT_4_PC % Affected Category 4 Integer 4 10 0 % Affected Category 4 GeoPlan CAT_5_AC Acres Affected Category 5 Integer 4 10 0 Acres Affected Category 5 GeoPlan CAT_5_PC % Affected Category 5 Integer 4 10 0 % Affected Category 5 GeoPlan AC_DOUBLE Acres in Decimal Double 8 38 8 Acres in Decimal Format GeoPlan SLR_GCID GeoPlan Unique ID of the Full Infrastructure Poly Integer 4 10 0 GeoPlan Unique ID of the Full Infrastructure Poly GeoPlan SOURCE_DATE SOURCE_DATE Date 8 0 0 Source Data of Original Combined Dataset Creation. GeoPlan DESCRIPT NAME GeoPlan DESCRIPT String 100 0 0 FGDLAQDATE The date GeoPlan acquired the data from the source. GeoPlan FGDLAQDATE Date 8 0 0 AUTOID AUTOID Integer 4 10 Unique ID added by GeoPlan. This field is for historic tracking of features. 0 SHAPE.AREA SHAPE.AREA Double 0 0 Area of feature in internal units 0 SHAPE.LEN SHAPE.LEN Double 0 0 Length of feature in internal units 0 The 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. 20201201 15292900 1.0 INFRASTRUCTURE_P_SLR_SEP25 72030.170000 791969.000000 62251.708700 775538.241100 1 002 Projected GCS_North_American_1983_HARN Linear 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[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,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> 20251020 11443500 20251020 11443500 FGDC CSDGM Metadata FALSE 150000000 5000 FGDC 20251020 ArcGIS Metadata 1.0 Infrastructure Facilities - Summarized Current and Future Flood Exposure from SLR in Florida - 2025 vector digital data 2025-09-26T00:00:00 State of Florida University of Florida - GeoPlan Center Florida Geographic Data Library (FGDL) Florida Geographic Data Library (FGDL) University of Florida - GeoPlan Center Florida 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 FDOT ISO 19115 Topic Categories transportation Transportation Sea Level Rise Sea-Level Change SLR Flooding, Flood Hazard Inundation Sea Level Scenario Sketch Planning Tool Roadways Current Future Vulnerability Strategic Intermodal System SIS Transportation Florida Sea Level Rise SLR 2025 Future Flooding Inundation Sea Level Scenario Sketch Planning Tool Roadways Vulnerability Strategic Intermodal System SIS <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This 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.</SPAN></P></DIV></DIV></DIV> 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. Esri ArcGIS 13.5.3.57366 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV> Publication date 2025-09-26T00:00:00 UF GeoPlan Center Jonathan and Melanie Antevy Hall 1480 Inner Road, Room 431 PO Box 115706 Gainesville FL 32611-5706 US https://fgdl.org/info/contact/ None Florida Geographic Data Library (FGDL) Florida Geographic Data Library (FGDL) UF GeoPlan Center 1 -87.434694 -79.895524 30.988151 24.506360 State of Florida Florida 2025 Sea 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/ 0.000 Florida Geographic Data Library (FGDL) Jonathan and Melanie Antevy Hall 1480 Inner Road, Room 431 PO Box 115706 Gainesville FL 32611-5706 US https://fgdl.org/info/contact/ None DOWNLOADABLE DATA https://www.fgdl.org/ Enterprise Geodatabase Feature Class dataset EPSG 6.12(9.2.0) 193 Spatial and Attribute Information 2025-05-13T00:00:00 To 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. University of Florida GeoPlan Center Erik Finlay GIS Analyst UF GeoPlan Center 131 Jonathan and Melanie Antevy Hall | PO Box 115706 Gainesville FL 32611 date@fgdl.org US data@fgdl.org www.fgdl.org Kate Norris 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). 2025-09-29T00:00:00 University of Florida GeoPlan Center UF GeoPlan Center Kate Norris Geospatial Data Manager 131 Jonathan and Melanie Antevy Hall | PO Box 115706 Gainesville FL 32611 date@fgdl.org US data@fgdl.org www.fgdl.org This 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. 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