Sea Level Change Inundation Surfaces - Bathtub Model Results (Vector Feature Class)

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 - Bathtub Model Results (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: As needed

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -87.429040

East_Bounding_Coordinate: -79.872251

North_Bounding_Coordinate: 30.983191

South_Bounding_Coordinate: 24.492815

Keywords:

Theme:

Theme_Keyword_Thesaurus: NONE

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:

Attribute_Accuracy:

Attribute_Accuracy_Report:

GeoPlan relied on the integrity of the attribute information within the original data.

Logical_Consistency_Report:

This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology

Completeness_Report:

This data is provided 'as is' by GeoPlan and is complete to our knowledge.

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:

Source_Information:

Source_Contribution: Spatial and Attribute Information

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

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: 31 30 0.000

Standard_Parallel: 31 30 0.000

Longitude_of_Central_Meridian: -84 0 0.000

Latitude_of_Projection_Origin: 24 0 0.000

False_Easting: 400000.00000

False_Northing: 0.00000

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.002048

Ordinate_Resolution: 0.002048

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: Florida Geographic Data Library (FGDL)

Contact_Person:

Contact_Position:

Contact_Address:

Address_Type: mailing address

Address: 431 Architecture PO Box 115706

City: Gainesville

State_or_Province: Florida

Postal_Code: 32611-5706

Country: United States

Contact_Voice_Telephone:

Contact_TDD/TTY_Telephone:

Contact_Facsimile_Telephone:

Contact_Electronic_Mail_Address: Web site: <http://www.fgdl.org>

Contact_Electronic_Mail_Address: Technical Support: <http://www.fgdl.org/fgdlfeed.html>

Contact_Electronic_Mail_Address: For FGDL Software: <http://www.fgdl.org/software.html>

Contact_Electronic_Mail_Address:

FGDL Frequently Asked Questions: <http://www.fgdl.org/fgdlfaq.html>

Contact_Electronic_Mail_Address: Mailing list for FGDL: <http://www.fgdl.org/fgdl-l.html>

Hours_of_Service:

Contact_Instructions:

Resource_Description: DOWNLOADABLE DATA

Distribution_Liability:

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. For more information regarding scale and accuracy, see our webpage at: <http://geoplan.ufl.edu/education.html>

Technical_Prerequisites:

This data is intended for use with a Geographic Information Systems or Remote Sensing software package.

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