20201102SEA LEVEL RISE (SLR) INUNDATION DEPTH, HYDRO-CONNECTIVITY MODEL (RASTER), VERSION 3Raster Digital Data SetState of Floridawww.fgdl.orgThis raster data layer represents the potential depth (in inches) of flooding from sea level rise (SLR). Flooding was modeled using a modified bathtub approach that assesses inundated areas for hydrologic connectivity. Two sets of SLR scenarios were mapped: USACE (2013): U.S. Army Corps of Engineers Sea Level Rise Projections ER 1100-2-8162. Three projections: Low (historic rate), Intermediate, and HighNOAA (2017): Global and Regional Sea Level Rise Scenarios for the United States, NOAA Technical Report NOS CO-OPS 083. Six projections: Low, Intermediate-Low, Intermediate, Intermediate-High, High, and Extreme.Relative sea level rise values for nine future SLR projections were generated using the USACE Sea-Level Change Curve Calculator (“USACE Calculator”) 2019.21 (http://www.corpsclimate.us/ccaceslcurves.cfm). Additional data inputs include a tidal surface representing Mean Higher High Water (MHHW) developed by NOAA and a 5-meter horizontal resolution Digital Elevation Model (DEM) dataset (compiled by the UF GeoPlan Center).SLR scenarios are unique for each county, year, and projection; the scenario is specified in this data's DESCRIPT field and the amount of SLR (in feet) is specified in the RSLR_FT field. Nine SLR projection curves were mapped on top of MHHW at decadal intervals (2040 - 2100). The key in parenthesis following the projection name was added by the GeoPlan Center for shorthand notation of the projection curve. Please refer to the Data Lineage section for description of the mapping methods.Projection Name (Key)- USACE 2013 Low (C1)- USACE 2013 Intermediate (C2)- USACE 2013 High (C4)- NOAA 2017 Low (N1) - NOAA 2017 Intermediate-Low (N2) - NOAA 2017 Intermediate (N3)- NOAA 2017 Intermediate-High (N4)- NOAA 2017 High (N5)- NOAA 2017 Extreme (N6)This data was created by the University of Florida GeoPlan Center for the Florida Department of Transportation to identify approximate areas of flooding under future sea level rise (SLR) scenarios for transportation planning purposes. This data is part of the Florida Sea Level Scenario Sketch Planning Tool Version 3, which was released in November 2020.-87.640443-79.81217431.04356124.471821ISO 19115 Topic CategoryenvironmenttransportationoceansplanningCadastreNonesea level risesketch planning toolSLRfloodingNoneThese data are not to be used for engineering design, stormwater or drainage design, property asessment, permitting, or parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.eduGeoPlan CenterCrystal GoodisonAssociate Scholarmailing and physical431 Architecture BldGainesvilleFl32611352-392-8686data@fgdl.orgUniversity of Florida GeoPlan Center Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanSLR was mapped by county. Each county was assigned a tide station based on proximity and any recommended unified SLR projections utilized in each geographic region (see list below of tide station assignment by county). The USACE Sea-Level Change Curve Calculator (“USACE Calculator”) 2019.21 (http://www.corpsclimate.us/ccaceslcurves.cfm) was used to generate relative SLR values for NOAA 2017 and USACE 2013 projections for twelve Florida tide stations. Values were adjusted to MSL(83-01) datum. Relative SLR values were then added to a tidal surface representing MHHW conditions (obtained from NOAA CO-OPs). Resulting flood surfaces were evaluated against a Digital Elevation Model (DEM). The DEM was mosaciked together by the GeoPlan Center using the best available elevation data, including Lidar-based DEMs for much of the State. Some areas were not included in the mapping due to low resolution elevation data. Output layers showing inundated were then evaluated for hydrologic connectivity to remove isolated inland areas not connected to water. Tide Station Assignments - by County: County, Tide Station Bay, Panama City Brevard, Daytona Beach Shores Broward, Key West Charlotte, Fort Myers Citrus, Cedar Key Clay, Mayport Collier, Naples Dixie, Cedar Key Duval, Mayport Escambia, Pensacola Flagler, Daytona Beach Shores Franklin, Apalachicola Gulf, Apalachicola Hernando, Cedar Key Hillsborough, St. Petersburg Indian River, Trident Pier (NOAA)/ Daytona Beach Shores (USACE)* Jefferson, Apalachicola Lee, Fort Myers Levy, Cedar Key Manatee, St. Petersburg Martin, Key West Miami-Dade, Key West Monroe, Key West Nassau, Fernandina Beach Okaloosa, Panama City Palm Beach, Key West Pasco, St. Petersburg Pinellas, St. Petersburg Putnam, Mayport Santa Rosa, Pensacola Sarasota, St. Petersburg St. Johns, Mayport St. Lucie, Trident Pier (NOAA)/ Daytona Beach Shores (USACE)* Taylor, Cedar Key Volusia, Daytona Beach Shores Wakulla, Apalachicola Walton, Panama City For Indian River and St. Lucie counties, the Trident Pier tide station was used to generate NOAA 2017 projections and the Daytona Beach Shores tide station was used to generate USACE 2013 projections. Trident Pier is in closer proximity to these counties, but the USACE Calculator does not allow you to generate USACE 2013 SLR projections with Trident Pier data.GeoPlan20201102Export SDE grid to fgdb, set No data value to blank. after export: verify bit depth and values (convert to 8 bit unsigned where needed). RECLASS: Reclass by ASCII file. Add DESCRIPT based on textual value ranges.GeoPlan20220603RasterGrid CellNAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.0000000044298120727148680.000000004429812072714868meterD North American 1983 HARNGRS 19806378137.0298.257222101N2_2050_RECLASSN2_2050_RECLASSUF GeoPlan CenterCountNumber of cells inundated under this SLR scenario.UF GeoPlan CenterValueCell Value indicating floodingUF GeoPlan Center1Flooded/ inundatedUF GeoPlan CenterOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.DESCRIPTGeoPlan added fieldFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USWeb site: http://www.fgdl.orgMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlFor FGDL Software: http://www.fgdl.org/software.htmlDOWNLOADABLE DATAThe 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. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html20220603GeoPlan CenterCrystal GoodisonAssociate Scholarmailing and physical431 Architecture BldGainesvilleFl32611352-392-8686data@fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeThese data are not to be used for parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.eduCrystal GoodisonGeoPlan CenterAssociate Scholar352-392-8686431 Architecture BldGainesvilleFl32611data@fgdl.org20220603ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAwww.fgdl.orgSEA LEVEL RISE (SLR) INUNDATION DEPTH, HYDRO-CONNECTIVITY MODEL (RASTER), VERSION 32020-11-02Raster Digital Data SetState of FloridaThis raster data layer represents the potential depth (in inches) of flooding from sea level rise (SLR). Flooding was modeled using a modified bathtub approach that assesses inundated areas for hydrologic connectivity. Two sets of SLR scenarios were mapped: USACE (2013): U.S. Army Corps of Engineers Sea Level Rise Projections ER 1100-2-8162. Three projections: Low (historic rate), Intermediate, and HighNOAA (2017): Global and Regional Sea Level Rise Scenarios for the United States, NOAA Technical Report NOS CO-OPS 083. Six projections: Low, Intermediate-Low, Intermediate, Intermediate-High, High, and Extreme.Relative sea level rise values for nine future SLR projections were generated using the USACE Sea-Level Change Curve Calculator (“USACE Calculator”) 2019.21 (http://www.corpsclimate.us/ccaceslcurves.cfm). Additional data inputs include a tidal surface representing Mean Higher High Water (MHHW) developed by NOAA and a 5-meter horizontal resolution Digital Elevation Model (DEM) dataset (compiled by the UF GeoPlan Center).SLR scenarios are unique for each county, year, and projection; the scenario is specified in this data's DESCRIPT field and the amount of SLR (in feet) is specified in the RSLR_FT field. Nine SLR projection curves were mapped on top of MHHW at decadal intervals (2040 - 2100). The key in parenthesis following the projection name was added by the GeoPlan Center for shorthand notation of the projection curve. Please refer to the Data Lineage section for description of the mapping methods.Projection Name (Key)- USACE 2013 Low (C1)- USACE 2013 Intermediate (C2)- USACE 2013 High (C4)- NOAA 2017 Low (N1) - NOAA 2017 Intermediate-Low (N2) - NOAA 2017 Intermediate (N3)- NOAA 2017 Intermediate-High (N4)- NOAA 2017 High (N5)- NOAA 2017 Extreme (N6)This data was created by the University of Florida GeoPlan Center for the Florida Department of Transportation to identify approximate areas of flooding under future sea level rise (SLR) scenarios for transportation planning purposes. This data is part of the Florida Sea Level Scenario Sketch Planning Tool Version 3, which was released in November 2020.University of Florida GeoPlan CenterCrystal GoodisonGeoPlan CenterAssociate Scholar352-392-8686431 Architecture BldGainesvilleFl32611data@fgdl.orgplanningCadastretransportationoceansenvironmentISO 19115 Topic Categorysea level riseSLRfloodingsketch planning toolsea level riseplanningCadastretransportationSLRoceansfloodingenvironmentsketch planning toolThe 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. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlThese data are not to be used for engineering design, stormwater or drainage design, property asessment, permitting, or parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.eduVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-87.640443-79.81217424.47182131.043561These data are not to be used for parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.eduThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis 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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanExport SDE grid to fgdb, set No data value to blank. after export: verify bit depth and values (convert to 8 bit unsigned where needed). RECLASS: Reclass by ASCII file. Add DESCRIPT based on textual value ranges.2022-06-03GeoPlanSLR was mapped by county. Each county was assigned a tide station based on proximity and any recommended unified SLR projections utilized in each geographic region (see list below of tide station assignment by county). The USACE Sea-Level Change Curve Calculator (“USACE Calculator”) 2019.21 (http://www.corpsclimate.us/ccaceslcurves.cfm) was used to generate relative SLR values for NOAA 2017 and USACE 2013 projections for twelve Florida tide stations. Values were adjusted to MSL(83-01) datum. Relative SLR values were then added to a tidal surface representing MHHW conditions (obtained from NOAA CO-OPs). Resulting flood surfaces were evaluated against a Digital Elevation Model (DEM). The DEM was mosaciked together by the GeoPlan Center using the best available elevation data, including Lidar-based DEMs for much of the State. Some areas were not included in the mapping due to low resolution elevation data. Output layers showing inundated were then evaluated for hydrologic connectivity to remove isolated inland areas not connected to water. Tide Station Assignments - by County: County, Tide Station Bay, Panama City Brevard, Daytona Beach Shores Broward, Key West Charlotte, Fort Myers Citrus, Cedar Key Clay, Mayport Collier, Naples Dixie, Cedar Key Duval, Mayport Escambia, Pensacola Flagler, Daytona Beach Shores Franklin, Apalachicola Gulf, Apalachicola Hernando, Cedar Key Hillsborough, St. Petersburg Indian River, Trident Pier (NOAA)/ Daytona Beach Shores (USACE)* Jefferson, Apalachicola Lee, Fort Myers Levy, Cedar Key Manatee, St. Petersburg Martin, Key West Miami-Dade, Key West Monroe, Key West Nassau, Fernandina Beach Okaloosa, Panama City Palm Beach, Key West Pasco, St. Petersburg Pinellas, St. Petersburg Putnam, Mayport Santa Rosa, Pensacola Sarasota, St. Petersburg St. Johns, Mayport St. Lucie, Trident Pier (NOAA)/ Daytona Beach Shores (USACE)* Taylor, Cedar Key Volusia, Daytona Beach Shores Wakulla, Apalachicola Walton, Panama City For Indian River and St. Lucie counties, the Trident Pier tide station was used to generate NOAA 2017 projections and the Daytona Beach Shores tide station was used to generate USACE 2013 projections. Trident Pier is in closer proximity to these counties, but the USACE Calculator does not allow you to generate USACE 2013 SLR projections with Trident Pier data.2020-11-02GeoPlan220220603141049001.0original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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