gov.noaa.csc.maps:2009_FL_SJRWMD_m535 St. Johns River Water Management District (SJRWMD) Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) 2009 Charleston, SC NOAA's Ocean Service, Coastal Services Center (CSC) http://www.csc.noaa.gov/lidar http://www.csc.noaa.gov The project area covers 318 square miles in the eastern half of Seminole County plus portions of north central and northeast Orange County in the state of Florida. The LiDAR data was collected 8 - 11 February 2009. The data are classified: 1 = Unclassified, 2 = Ground, 7 = Noise, 9 = Water and 12 = Overlap. To develop a consistent and accurate surface elevation dataset for a portion of the Central Florida Coordination Area (CFCA) in accordance with the Florida Department of Emergency Management (FDEM) Baseline Specifications. The CFCA defines an area that faces particularly difficult water supply issues. Three of Florida's Water Management Districts have jurisdiction in the CFCA: the South Florida Water Management District (SFWMD), the St. Johns River Water Management District (SJRWMD), and the Southwest Florida Water Management District (SWFWMD). These three water management districts are cooperating to develop and implement mutually acceptable strategies to provide adequate supplies of water to support projected growth without unacceptable impacts. The Specific Purpose Lidar Survey Report may be viewed at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/sjrwmd/Survey_Report_for_SJRWMD_Elevation_Dataset_FINAL.pdf A footprint of this data set may be viewed in Google Earth at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/sjrwmd/SJRWMD_Lidar.kmz 20090208 20090211 ground condition Complete As needed -81.362815 -80.925563 28.831441 28.528425 ISO 19115 Topic Category elevation None Bathymetry/Topography Breakline DTM DSM Contour Elevation Lidargrammetry Lidar None United States Florida Orange County Seminole County None Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. St. Johns River Water Management District GIS Data Manager, Information Resources Department mailing and physical

4049 Reid Street

Palatka FL 32177 USA (386) 329-4500 gis_support@sjrwmd.com 0800 - 1700 ET Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850 Data covers the tile scheme provided for the county. A visual qualitative assessment was performed in the source Lidar dataset. Lidar source compiled to meet 1 m horizontal accuracy. 1 Dewberry does not perform independent horizontal accuracy testing on the LiDAR. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1 meter horizontal accuracy standard at the 95% confidence level. Please refer to Appendix D: LiDAR Processing Report, of the Lidar report referenced above in the Supplemental_Information field for more details. The FDEM Baseline Specifications were used for the vertical accuracy assessment for this project. 0.155 Based on the vertical accuracy testing conducted by Dewberry, using NSSDA and FEMA methodology, vertical accuracy at the 95% confidence level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for St. Johns River Water Management District satisfies the criteria: Lidar dataset tested 0.155 m (0.51 ft) fundamental vertical accuracy (FVA) at 95% confidence level in open terrain, based on open terrain RMSEz 0.079 m (0.26 ft) x 1.9600. Lidar dataset tested 0.31 m (1.004 ft) consolidated vertical accuracy (CVA) at 95% confidence level in all land cover categories combined, based on consolidated RMSEz 0.137 m (0.45 ft) x 1.9600. Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, consolidated vertical accuracy at the 95% confidence level is computed using the 95th percentile method. The dataset for St. Johns River Water Management District satisfies the criteria: Lidar dataset tested 0.305 m (1.00 ft) consolidated vertical accuracy at 95% confidence level in all land cover categories combined. Please refer to Appendix A: LiDAR Vertical Accuracy Report, of the Lidar report referenced above in the Supplemental_Information field for more details. Merrick & Co. 200902 Unknown vector digital data LiDAR Survey of St. Johns River Water Management District (SJRWMD), conducted from 2/08/09 to 2/11/09. online 20090208 20090211 ground condition Lidar The 3d Breakline collection was done utilizing MARS proprietary software. The ABGPS, IMU, and raw Leica ALS50 LiDAR data are integrated with Leica's Incorporated's ALS Post Processor software. The resultant file is in a LAS binary file format. The LAS file version 1.1 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 geodetic coordinates referenced to the NAD83 HARN horizontal datum and NAVD88 vertical datum. The date and time for each flight line can be determined using the Julian date and time. The Julian date is a continuous count of days and fractions since noon Universal Time on January 1, 4713 BCE on the Julian calendar. Airborne Global Positioning System Data Inertial Measurement Unit 2009 LiDAR Point Cloud LAS 1.1 format Doug Jacoby Merrick & Co Project Manager mailing and physical

2450 S. Peoria St

Aurora Co 80014 USA (303) 751-0741 303-745-0964 doug.jacoby@merrick.com 8:00 - 5:00 MST Call or email during business hours. The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters are applied as appropriate for the production of bare earth digital terrain models (dtms). 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. The LiDAR mass points were delivered in American Society for Photogrammetry and Remote Sensing LAS 1.1 format. The header file for each dataset is complete as defined by the LAS 1.1 specification. In addition the following fields are included: Flight Date Julian, Year, and Class. The data was classified as follows: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground Class 7 = Noise Class 9 = Water Class 12 = Overlap LiDAR Point Cloud LAS 1.1 format 2009 Classified LiDAR datasets Doug Jacoby Merrick & Co Project Manager mailing and physical

2450 S. Peoria St

Aurora Co 80014 USA 303-751-0741 303-745-0964 doug.jacoby@merrick.com 7:00 - 4:00 CT Ground points were extracted from the Lidar dataset, class 2, and converted to a multipoint feature class using ArcGIS. Projected and tiled LiDAR datasets 2009 Ground masspoint Doug Jacoby Merrick & Co Project Manager mailing and physical

2450 S. Peoria St

Aurora Co 80014 USA 303-745-0741 303-745-0964 doug.jacoby@merrick.com 8:00 - 5:00 MST Call or email during business hours. The NOAA Coastal Services Center (CSC) received files in LAS format. The files contained LiDAR intensity and elevation measurements. CSC performed the following processing on the data to make it available within Digital Coast: 1. The data were converted from UTM Zone 17 coordinates to geographic coordinates. 2. The data were converted from NAVD88 heights to ellipsoid heights using Geoid03. 3. The LAS header fields were sorted by latitude and updated. 4. The data were filtered to remove outliers. 20100609 Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) CEM Project Scientist mailing and physical

2234 South Hobson Ave.

Charleston SC 29405 US 843-740-1200 tcm@csc.noaa.gov The NOAA National Geophysical Data Center (NGDC) received Lidar data files by ftp. The data received compressed containing LiDAR data from the NOAA Coastal Services Center. The data are currently being served via Digital Coastl at http://www.csc.noaa.gov/digitalcoast/. The data can be used to re-populate the system. The data are provided in LAS format. LAS format is an industry standard for serving LiDAR data. The data are exclusively in geographic coordinates, however, the datums used vary. Most are NAD 83, however some are in ITRF. Vertical systems include both ellipsoid (ITRF and NAD 83) and NAVD 88. For NAVD 88 values, Geiod 03 is primarily used; however, data received in NAVD 88 prior to 2003 was processed using Geoid 99. 20110513 DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Pamela Grothe Mailing and Physical Address

NOAA/NESDIS/NGDC E/GC1 325 Broadway

Boulder CO 80305-3328 USA (303) 497-6120 (303) 497-6958 (303) 497-6513 pamela.grothe@noaa.gov 7:30-5:00 Mountain Contact Data Center Point Point 0.0000001 0.0000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Ellipsoid 0.001 Meters Explicit elevation coordinate included with horizontal coordinates MASSPOINTS Ground Lidar points "Florida GIS - Baseline Specifications for Orthophotography and LiDAR v1.2" OID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry. ESRI Coordinates defining the features. DATESTAMP_DT The date the feature was added to the geodatabase. "Florida GIS - Baseline Specifications for Orthophotography and LiDAR v1.2" Date Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) CEM Project Scientist mailing and physical

2234 South Hobson Ave.

Charleston South Carolina 29405 USA 843.740.1200 tcm@csc.noaa.gov 9:00am - 5:00pm Downloadable Data Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Coastal Services Center or its partners. This data can be obtained on-line at the following URL: http://www.csc.noaa.gov/lidar DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Pamela Grothe Mailing and Physical Address

NOAA/NESDIS/NGDC E/GC1 325 Broadway

Boulder CO 80305-3328 USA (303) 497-6120 (303) 497-6958 (303) 497-6513 pamela.grothe@noaa.gov 7:30-5:00 Mountain Contact Data Center Disclaimer While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. The National Geophysical Data Center serves as the archive for this LIDAR data. NGDC should only be contacted for this data if it cannot be obtained from NOAA Coastal Services Center. 20111119 20111119 20121119 Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) CEM Project Scientist mailing and physical

2234 South Hobson Ave.

Charleston South Carolina 29405 USA 843.740.1200 tcm@csc.noaa.gov 9:00am - 5:00pm FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998