Sea Level Change Inundation Surfaces with Hydrologic Connectivity Filter (Raster Format)

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 (Raster Format)

Geospatial_Data_Presentation_Form: Fgdb raster 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 used to create the surfaces with a "_BATHTUB" suffix. The corresponding surfaces without the "_BATHTUB" suffix are the enhanced inundation results with the hydrologic connectivity filter applied. Furthermore, the inundation surfaces in this download are in ESRI raster format (their native format). These surfaces can also be downloaded as vector feature classes. 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: -82.893528

East_Bounding_Coordinate: -80.640382

North_Bounding_Coordinate: 28.374808

South_Bounding_Coordinate: 25.786180

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).

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.

Process_Date: 20130715

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Point_and_Vector_Object_Information:

SDTS_Terms_Description:

SDTS_Point_and_Vector_Object_Type: G-polygon

Point_and_Vector_Object_Count: 2

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: row and column

Coordinate_Representation:

Abscissa_Resolution: 5.432989

Ordinate_Resolution: 5.432989

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_2040_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: Value

Attribute_Definition: Inundation level (inches)

Attribute:

Attribute_Label: Count

Attribute_Definition: Number of cells with value

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