Florida Division of Emergency Management 20090211 unknown vector digital data Tallahassee Florida Division of Emergency Management Duval County http://www.floridadisaster.org/gis This data set represents the 2-foot contour component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida, encompassing Duval County, Florida. The complete digital terrain model is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the Baseline Specifications 0.9, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 2-D or 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 2-D or 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; low confidence areas as 2-D polygons; island features as 2-D or 2D polygons; overpasses and bridges as 3-D breaklines. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards, with 1-foot contours for visualization purposes. The LiDAR masspoints are delivered in the LAS file format based on the FDEM's 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas. The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient. Sensor Description - Intergraph DMC serial number 001-0046 20070317 unknown 20070318 unknown publication date Complete As needed -82.052424 -81.371906 30.592134 30.101015 None Terrain Contours Photogrammetry Hydrology Stereo Model DEM LiDAR None Jacksonville Florida Duval This data may be used by the requested party for stated purposes and should not be re-distributed. This data is for planning purposes only and should not be used for legal or cadastral purposes. Regional Evacuation Studies are currently being updated and www.floridadisaster.org/gis should be consulted for revisions. Florida Division of Emergency Management mailing

2555 Shumard Oak Boulevard

Tallahassee Florida 32399-2100 US 850-413-9907 850-488-1016 gis@dca.state.fl.us Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 http://www.floridadisaster.org/gis/LiDAR/index.htm Baseline Specifications for Orthophotography and LiDAR: http://www.floridadisaster.org/gis/specifications/Documents/BaselineSpecifications_1.2.pdf Standards for 1:24,000 Scale Digital Line Graphs: http://rockyweb.cr.usgs.gov/nmpstds/acrodocs/dlgqmap/7dqm0401.pdf GeoPlan relied on the integrity of the attribute information within the original data. Contours were generated from 30-foot DEM generated from the LIDAR data and breaklines. These breaklines were determined from LiDAR and stereo tile (LiDAR grammetry) data of specific dates and that model the land/water contributions and extents on those dates. The 3-D vector line work was created using stereo-compilation. A thorough QC procedure was implemented to verify the elevation of the breaklines and to ensure no zero elevations were found except in coastal areas where it is possible to find z values equal to mean sea level. Additional QC steps were taken to ensure all breaklines agree with the vertical location of the LiDAR. The DTM was developed in accordance with the Baseline Specifications 0.9. The DTM is intended to support 2-foot contours, and the vertical accuracy of ground points in unobscured areas is not to exceed 0.6-feet RMSE. A thorough QC was implemented to verify the breakline elevation accuracy. All breakline features are an accurate three-dimensional representation of the surface with varying elevations. Roadbreakline features were captured at edge of pavement. The LiDAR (masspoint) feature class consists of 1054 tiles (Duval County). Horizontal accuracy is +/- 3.8-foot at the 95% confidence level using RMSE(r) x 1.7308 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA. 3.8 see MTS Report of Specific Purpose Survey 0.3-feet RMSE for unobscured ground points. The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground control points and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represents bare earth elevations. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA). 0.3-feet RMSE - tested see MTS Report of Specific Purpose Survey CDM 20090211 unknown vector digital data 24000 None 20090211 ground condition FDEM Spatial and Attribute Information Filtered Lidar and vector data are subjected to rigorous QA/QC procedures designed by Sanborn. Terramodel software was used to display the edited LiDAR points and associated GEOTIFF orthophotos to construct breaklines for the edge pavement. Breakline elevations were linearly ramped between identified critical elevation points along roads. LiDAR data LAS 1.1 format 20090211 Classified filtered Lidar data 3-D breaklines CDM Erin Hardin Project Manager mailing and physical

8381 Dix Ellis Trail, Suite 400

Jacksonville Florida 32556 US 904-527-6717 904-519-7090 www.cdm.com 8:00-5:00 Monday-Friday The unedited data are classified to facilitate the application of the appropriate feature extraction filters. Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces. 20090211 CDM Erin Hardin Project Manager mailing and physical

8381 Dix Ellis Trail, Suite 400

Jacksonville Florida 32556 US 904-527-6717 904-519-7090 www.cdm.com 8:00-5:00 Monday-Friday The Airborne Global Positioning System (ABGPS), inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 20 mile radius from the flight survey area. Airborne Global Positioning System Sensor Description - Intergraph DMC serial number 001-0046 Global Positioning System Inertial Measuring Unit 20090211 LiDAR Scan Files GPS data CDM Erin Hardin Project Manager mailing and physical

8381 Dix Ellis Trail, Suite 400

Jacksonville Florida 32556 US 904-527-6717 904-519-7090 www.cdm.com 8:00-5:00 Monday-Friday The contours are generated from Lidar data and breaklines using a contour generation function in Terrascan. The Lidar data is gridded to a 30' grid and incorporated with the 3d breaklines. A process is run to remove the gridded point from within 15' of the breaklines and Terrascan automatically generates the contours using specific input criteria to include contour interval, line type, smoothness and minimum size. 20090211 CDM Erin Hardin Project Manager mailing and physical

8381 Dix Ellis Trail, Suite 400

Jacksonville Florida 32556 US 904-527-6717 904-519-7090 www.cdm.com 8:00-5:00 Monday-Friday The ABGPS, IMU, and raw scans are integrated. The resultant file is in a LAS binary 1.1 file format. The LAS file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the Florida State Plane east Zone coordinate system, with units in feet and referenced to the NAD83/90 HARN horizontal datum and NAVD88 vertical datum. LiDAR data Inertial Measurement Unit Airborne Global Positioning System 20090211 FDEM CDM Erin Hardin Project Manager mailing and physical

8381 Dix Ellis Trail, Suite 400

Jacksonville Florida 32556 US 904-527-6717 904-519-7090 www.cdm.com 8:00-5:00 Monday-Friday GeoPlan received this data via hard drive from Jones Edmunds on 8/27/09. When received the data was in 3 personal geodatabases. The data was merged into 1 file geodatabase. The feature class was then projected from UTM NAD83 HARN - feet to Albers HPGN. -Added SOURCE field and populated all values to CDM -Added FGDLAQDATE field based on date GeoPlan acquired data from source -Changed name from DUVAL_CONTOUR_CENTRAL, DUVAL_CONTOUR_EAST, DUVAL_CONTOUR_WEST to TOPO2FT_DUVAL GeoPlan 20091002 Vector String 837894 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.0001 0.0001 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 TOPO2FT_CDM TOPO2FT_CDM.DBF CDM OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. EntID Undefined by Source unknown CONTOUR_ELEVATION_MS Contour elevation DTM CONTOUR_TYPE_DESC Contour type unknown 1 INTERMEDIATE contours (the three or four lines between adjacent index contours) are about half the line weight of index contours. They are normally continuous throughout a map, but may be dropped or joined with an index contour where the slope is steep and where there is insufficient space to show all of the intermediate lines. 2 SUPPLEMENTARY contours are used to portray important relief features that would otherwise not be shown by the index and intermediate contours (basic contours). They are normally added only in areas of low relief, but they may also be used in rugged terrain to emphasize features. Supplementary contours are shown as screened lines so that they are distinguishable from the basic contours, yet not unduly prominent on the published map. 3 DEPRESSION contours are closed contours that surround a basin or sink. They are shown by right-angle ticks placed on the contour lines, pointed inward (down slope). Fill contours are a special type of depression contours, used to indicate an area that has been filled to support a road or railway grade. 4 INDEX contours are defined as every 5th contour line. For example, with the Contour_2FT feature class, the first positive intermediate contour would be 0 with the following index contours at 10, 20, 30 feet, etc. 5 INTERMEDIATE LOW CONFIDENCE 6 SUPPLEMENTARY LOW CONFIDENCE 7 DEPRESSION LOW CONFIDENCE 8 INDEX LOW CONFIDENCE DATESTAMP_DT When the feature was added to the Geodatabase FDEM Baseline Specifications CARRYING_CONTOUR_ELEVATION_MS Undefined by Source unknown SOURCE Abbreviated 3-letter code representing the data source. GeoPlan FGDLAQDATE Date FGDL acquired data from source GeoPlan AUTOID Unique ID added by GeoPlan GeoPlan SHAPE.LEN Length in meters GeoPlan Entity and Attribute information designed in accordance to FDEM Baseline Specifications 0.9 (Attachment 3) Entity and Attribute information designed in accordance to FDEM Baseline Specifications 0.9 (Attachment 3) Florida Geographic Data Library (FGDL) mailing

431 Architecture PO Box 115706

Gainesville Florida 32611-5706 US Web site: http://www.fgdl.org Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Technical Support: http://www.fgdl.org/fgdlfeed.html DOWNLOADABLE DATA 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 ASCII 0.388 CD-ROM None. This data is intended for use with a Geographic Information Systems or Remote Sensing software package. 20200303 Florida Division of Emergency Management Richard Butgereit GIS Administrator mailing

2555 Shumard Oak Boulevard

Tallahassee Florida 32399-2100 US 850-413-9907 850-488-1016 richard.butgereit@em.myflorida.com FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time