# Sea Level Change Inundation Surfaces with Hydrologic Connectivity Filter (Vector Feature Class)

Metadata also available as

# Metadata:

- Identification_Information
- Data_Quality_Information
- Spatial_Data_Organization_Information
- Spatial_Reference_Information
- Entity_and_Attribute_Information
- Distribution_Information
- Metadata_Reference_Information

Identification_Information:
  Citation:
    Citation_Information:
      Originator: University of Florida GeoPlan Center
      Publication_Date: 20130923
      Title:
        Sea Level Change Inundation Surfaces with Hydrologic Connectivity Filter (Vector Feature Class)
      Geospatial_Data_Presentation_Form: vector digital data
      Publication_Information:
        Publication_Place: University of Florida GeoPlan Center
        Publisher: Gainesville, FL
      Online_Linkage: <http://sls.geoplan.ufl.edu>
  Description:
    Abstract:
      These inundation surfaces were creating using the United States Army Corps of Engineers (USACE) sea level change projection curves (as specified in USACE Engineer Circular EC 1165-2-12), NOAA tide gauge data, and a 5-meter horizontal resolution Digital Elevation Model (DEM). A simple bathtub method was initially used to create the surfaces, and then the surfaces were enhanced with a hydrologic connectivity filter, which removes isolated inundated areas not connected to an ocean, gulf, or major waterway. The inundation surfaces in this download are in vector feature class format, and include both the bathtub inundation surfaces (feature classes with the "_BATHTUB" suffix) and the enhanced inundation surfaces with the hydrologic connectivity filter applied (features classes without the "_BATHTUB" suffix. These surfaces can also be downloaded as rasters (their native format). For more information and full technical methods, please see the final report on the project website: <http://sls.geoplan.ufl.edu>
    Purpose:
      The UF GeoPlan Center created these inundation surfaces as part of the Sea Level Scenario Sketch Planning Tool, which was developed under contract with the Florida Department of Transportation. The Sea Level Scenario Sketch Planning Tool is a series of tools and data intended to assist with the identification of potentially vulnerable transporation infrastructure due to inundation from sea level change.
    Supplemental_Information:
      For complete technical methods, please see the final report "DEVELOPMENT OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TOOL FOR THE PRELIMINARY ASSESSMENT OF THE EFFECTS OF PREDICTED SEA LEVEL AND TIDAL CHANGE ON TRANSPORTATION INFRASTRUCTURE", FDOT Contract# BDK75 977-63, September 2013.
  Time_Period_of_Content:
    Time_Period_Information:
      Single_Date/Time:
        Calendar_Date: 20130923
    Currentness_Reference: publication date
  Status:
    Progress: Complete
    Maintenance_and_Update_Frequency: None planned
  Spatial_Domain:
    Bounding_Coordinates:
      West_Bounding_Coordinate: -82.765177
      East_Bounding_Coordinate: -81.011784
      North_Bounding_Coordinate: 27.647381
      South_Bounding_Coordinate: 25.795273
  Keywords:
    Theme:
      Theme_Keyword: inundation
      Theme_Keyword: sea level rise
      Theme_Keyword: sea level change
      Theme_Keyword: climate change
  Access_Constraints: NONE
  Use_Constraints:
    Before using this data, it is highly recommended to read the final report entitled: "DEVELOPMENT OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TOOL FOR THE PRELIMINARY ASSESSMENT OF THE EFFECTS OF PREDICTED SEA LEVEL AND TIDAL CHANGE ON TRANSPORTATION INFRASTRUCTURE". Final report is available at <http://sls.geoplan.ufl.edu>
  Point_of_Contact:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: University of Florida GeoPlan Center
      Contact_Electronic_Mail_Address: sls@geoplan.ufl.edu
  Data_Set_Credit:
    Florida Department of Transportation, University of Florida GeoPlan Center
  Native_Data_Set_Environment: ESRI ArcMap 10.1

Data_Quality_Information:
  Positional_Accuracy:
    Horizontal_Positional_Accuracy:
      Horizontal_Positional_Accuracy_Report:
        Horizontal accuracy of these inundation surfaces can be approximated from the DEM used to create the surfaces. The horizontal accuracy of the DEM used is approximately 5.433 meters, which is the cell size of the DEM.
    Vertical_Positional_Accuracy:
      Vertical_Positional_Accuracy_Report:
        The vertical accuracy of these inundation surfaces can be approximated from the accuracy reports of the Lidar data, which was used to derive the DEM used to create these inundation surfaces. A review of the accuracy reports submitted with the coastal Lidar data accepted by the FDEM reports the vertical accuracy of collected Lidar data in terms of root mean square error (RMSE). The overall average RMSE for this data throughout all land cover categories is 11.87cm (4.68 inches). This translates to a 66% chance that a feature with an elevation equivalent to 4.68 inches will be correctly located on the DEM. The 95% confidence interval provides a more appropriate and acceptable probability, equivalent to 23.26cm (9.16 inches). Since the DEM and projected SLC values are calculated as integers, this translates to a 10 inch minimum vertical mapping resolution. Hence, any projected SLC that yields inundation levels equal to or greater than 10 inches have a 95% chance of being accurately mapped on the DEM.
  Lineage:
    Process_Step:
      Process_Description:
        The USACE sea level curve calculator spreadsheet was downloaded from the USACE website: <http://www.corpsclimate.us/ccaceslcurves.cfm> and used to create sea level change projections. Sea level change projection values were then converted to NAVD88 datum. For FDOT District-wide inundation surfaces, an area weighted mean process was used to calculate sea level change values where multiple tide stations were in proximity to the coastline of the respective District. For the Statewide inundation surfaces, the values from the Key West tide station were used.
        Inundation surfaces were then creating by selecting elevations equal to or below the sea level change value. Resulting inundation surfaces are a single-value raster layer with the value indicating the presence of inundation, and a null value indicating the absence of inundation. The single-value in the grid represents the sea level change value after conversion to NAVD88 (where necessary) and calculation of the area weighted mean (for FDOT District surfaces).
        The raster inundation surfaces were then converted to both multi-part and single-part shapefiles for processing GIS intersections of the data.
        A 5-meter Digital Elevation Model (DEM) created by the UF GeoPlan Center was used to create all inundation surfaces. The DEM can be downloaded from the Florida Geographic Data Library (FGDL) at:<http://www.fgdl.org>. FGDL DEM filename is FLIDAR_MOSAIC_IN, and title is "FLORIDA DIGITAL ELEVATION MODEL (DEM) MOSAIC - 5-METER CELL SIZE - ELEVATION UNITS INCHES"
        For complete technical methods, please see the final report "DEVELOPMENT OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TOOL FOR THE PRELIMINARY ASSESSMENT OF THE EFFECTS OF PREDICTED SEA LEVEL AND TIDAL CHANGE ON TRANSPORTATION INFRASTRUCTURE", FDOT Contract# BDK75 977-63, September 2013.
      Process_Date: 20130715
    Process_Step:
      Process_Description:
        In order to enhance the simple bathtub model results, GeoPlan used a GIS process to evaluate the connectivity of the inundated areas to open water (i.e. Atlantic Ocean and Gulf of Mexico). Brief process steps are below. Full technical methods in final report: "DEVELOPMENT OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TOOL FOR THE PRELIMINARY ASSESSMENT OF THE EFFECTS OF PREDICTED SEA LEVEL AND TIDAL CHANGE ON TRANSPORTATION INFRASTRUCTURE", FDOT Contract# BDK75 977-63, September 2013.
        Hydroconnectivity Filter Process Steps: 1 - Delineate shoreline and waterways connected to ocean. To delineate the shoreline, the GeoPlan Center used a 1:40,000 scale shoreline dataset from FWRI. To delineate waterways, GeoPlan extracted streams and waterways (FLUCCS Level 2 = 5100) from land use and land cover data from Florida's five Water Management Districts (WMD). The waterways extracted from the WMD land use data was then evaluated for connectivity to the ocean, and only those major waterways connected to the ocean were kept. The ocean layer and the waterways connected to the ocean layer were combined to create one binary grid, where a value of one is equal to ocean or waterway connected to the ocean, and a value of zero is equal to land area. This grid served as the basis for determining connectivity of potentially inundated areas to the ocean.
        2 - Determine connectivity of the bathtub results to the ocean. To determine connectivity of the potentially inundated areas (bathtub results) to the ocean, GeoPlan used ESRI Spatial Analyst functions to identify connectivity. First, potentially inundated areas and the ocean/ waterways layer were each buffered by one grid cell (an approximately 5.4 square meter cell) to account for areas that are directly adjacent to the ocean, but not overlapping. Next, the potentially inundated areas are grouped into contiguous regions or zones (using the "regiongroup" function, defining connectivity as neighbors in all eight cardinal directions). Then a zonal statistical function is performed on the contiguous zones to determine whether any cell in that zone overlaps with cells identified as ocean. Only those zones which overlap with the ocean and waterways layer are selected in the zonal results. Finally, a mask is used to confine the zonal results only to the original inundation surface, by removing the initial land area buffer created with the "expand" function. All waterways are masked out of the final results. This yields a spatial data layer of land areas that are inundated by water, based on the associated SLC scenario, for a given time period, SLC projection, and datum.

Spatial_Data_Organization_Information:
  Direct_Spatial_Reference_Method: Vector
  Point_and_Vector_Object_Information:
    SDTS_Terms_Description:
      SDTS_Point_and_Vector_Object_Type: G-polygon
      Point_and_Vector_Object_Count: 176002

Spatial_Reference_Information:
  Horizontal_Coordinate_System_Definition:
    Planar:
      Map_Projection:
        Map_Projection_Name: Albers Conical Equal Area
        Albers_Conical_Equal_Area:
          Standard_Parallel: 24.000000
          Standard_Parallel: 31.500000
          Longitude_of_Central_Meridian: -84.000000
          Latitude_of_Projection_Origin: 24.000000
          False_Easting: 400000.000000
          False_Northing: 0.000000
      Planar_Coordinate_Information:
        Planar_Coordinate_Encoding_Method: coordinate pair
        Coordinate_Representation:
          Abscissa_Resolution: 0.000000
          Ordinate_Resolution: 0.000000
        Planar_Distance_Units: meters
    Geodetic_Model:
      Horizontal_Datum_Name: D_North_American_1983_HARN
      Ellipsoid_Name: Geodetic Reference System 80
      Semi-major_Axis: 6378137.000000
      Denominator_of_Flattening_Ratio: 298.257222
  Vertical_Coordinate_System_Definition:
    Altitude_System_Definition:
      Altitude_Resolution: 0.000100
      Altitude_Encoding_Method:
        Explicit elevation coordinate included with horizontal coordinates

Entity_and_Attribute_Information:
  Detailed_Description:
    Entity_Type:
      Entity_Type_Label: D1_2050_H_MHHW
    Attribute:
      Attribute_Label: OBJECTID
      Attribute_Definition: Internal feature number.
      Attribute_Definition_Source: Esri
      Attribute_Domain_Values:
        Unrepresentable_Domain:
          Sequential unique whole numbers that are automatically generated.
    Attribute:
      Attribute_Label: Shape
      Attribute_Definition: Feature geometry.
      Attribute_Definition_Source: Esri
      Attribute_Domain_Values:
        Unrepresentable_Domain: Coordinates defining the features.
    Attribute:
      Attribute_Label: Id
    Attribute:
      Attribute_Label: grid_code
      Attribute_Definition: Inundation level (inches)
      Attribute_Definition_Source: UF GeoPlan
    Attribute:
      Attribute_Label: Shape_Length
      Attribute_Definition: Length of feature in internal units.
      Attribute_Definition_Source: Esri
      Attribute_Domain_Values:
        Unrepresentable_Domain: Positive real numbers that are automatically generated.
    Attribute:
      Attribute_Label: Shape_Area
      Attribute_Definition: Area of feature in internal units squared.
      Attribute_Definition_Source: Esri
      Attribute_Domain_Values:
        Unrepresentable_Domain: Positive real numbers that are automatically generated.

Distribution_Information:
  Distributor:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: University of Florida GeoPlan Center
      Contact_Instructions:
        See the project website for download: <http://sls.geoplan.ufl.edu>
  Resource_Description: Downloadable Data

Metadata_Reference_Information:
  Metadata_Date: 20130925
  Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
  Metadata_Standard_Version: FGDC-STD-001-1998
  Metadata_Time_Convention: local time
  Metadata_Extensions:
    Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
    Profile_Name: ESRI Metadata Profile

Generated by `mp` version 2.9.6 on Wed Dec 11 22:18:07 2013