gov.noaa.csc.maps:2007_Fl_Jefferson_m83 Northwest Florida Water Management District (NWFWMD) 20071105 Map Charleston, SC NOAA's Ocean Service, Coastal Services Center (CSC) http://csc-s-maps-q.csc.noaa.gov/dataviewer/viewer.html LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 262 flight lines of high density (submeter ground sample distance) data were collected in the northern half of Jefferson County in Florida. This data set was collected at the same time as the collection for portions of Bay, Calhoun, Jackson and Washington Counties. Collectively, these data sets cover approximately 1201 square miles. The Jefferson County project covers approximately 513 square miles. The data acquisition occurred in 17 missions between February 22, 2007 and March 13, 2007. Multiple returns were recorded for each laser pulse along with an intensity value for each return. This data was collected at sub-meter resolution to provide average point spacing of 0.7 m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value. The data was collected to support regulatory, land management and acquisition, planning, engineering, and habitat restoration projects. It will also support the creation of Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated ground surface model for this county. Reflective surface data represents the DEM created by laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface to be reflected by a subsequent surface as represented by the Last Return data. Intensity information is captured from the Reflective Surface pulse and indicates the relative energy returned to the sensor as compared to the energy transmitted. The Intensity image is not calibrated or normalized but indicates differences in energy absorption due to the interaction of the surface materials with laser energy at the wavelength transmitted by the sensor. Points are classified as on ground surface or not on ground surface to support creation of a bare earth model from the data. Points in the filtered ground class determined to be in open waterways or water bodies were reclassified as Water. The Final Report for this data may be viewed at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/jefferson/ReportLidarQAQCJeffersonv2.doc 20070222 20070313 Ground condition Complete None planned -84.090823 -83.589723 30.690160 30.290560 ISO 19115 Topic Category Elevation None Bathymetry/Topography Elevation Lidar GRID Digital Elevation Model DEM Surface Model None United States Florida Jefferson 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. Northwest Florida Water Management District (NWFWMD) John Crowe Mailing and physical address

81 Water Management Dr.

Havana Florida 32333 United States 850-539-5999 john.crowe@nwfwmd.state.fl.us Northwest Florida Water Management District (NWFWMD) Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 None None LIDAR is self-illuminating and has minimal cloud penetration capability. Water vapor in steam plumes or particulates in smoke may cause reflection of LIDAR signals and loss of elevation information beneath these plumes. Glass structures and roofs may appear transparent to the LIDAR signal and therefore may not register on the reflective surface. Some asphalt formulations have been shown to absorb topographic LIDAR wavelength energy resulting in "pitting" of roof surfaces using this material. Compiled to meet 1 m horizontal accuracy at the 95% confidence level. RMSE in open terrain is 11.12 cm (0.366 ft). Northwest Florida Water Management District (NWFWMD) 20071102 Model 27000 Digital Tape Media 20070222 Ground condition Lidar Surface Type of LiDAR Scanner = LH Systems ALS50 Data Acquisition Height = 700 meters AGL Scanner Field Of View = 40 degrees Scan Frequency = 35 Hertz Pulse Repetition Rate - 50 Kilohertz Aircraft Speed = 120 KIAS Swath Width = +/- 20 degrees Nominal Ground Sample Distance = 0.7 meters Number of Returns per Pulse = 5 (first, last, intermediate) Distance Between Flight Lines = 365 meters Data Collection: Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 262 flight lines of high density (submeter ground sample distance) data were collected over the northern half of Jefferson County in Florida. This data was collected at the same time as the collection for portions of Bay, Calhoun, Jackson and Washington Counties. Collectively, these data sets cover approximately 1201 square miles. The Jefferson County project covers approximately 513 square miles. The data acquisition occurred in 17 missions between February 22, 2007 and March 13, 2007. Multiple returns were recorded for each laser pulse along with an intensity value for each return. During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground base stations for final processing of the base-remote GPS solutions. Four (4) airborne global positioning system (GPS) base stations were used to support the LiDAR data acquisition. GPS ground control check points were also collected by the LiDAR team while onsite for product accuracy validation and delivery. 20070222 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com Airborne GPS Processing: Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The overlap between flight lines was removed to provide a homogeneous coverage, and the coverage was classified to extract a bare earth digital elevation model (DEM). Airborne GPS is differentially processed using the GrafNAV V7.50 software by Waypoint Consulting of Calgary, Alberta, Canada. The PDOP and distance separation is as follows: IMU data is processed using the PosPac V4.2 software by Applanix Corporation of Richmond Hill, Ontario, Canada. The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia. The classification and quality control (QC) of LiDAR data is carried out using TerraScan software by Terrasolid Limited of Helsinki, Finland. 20070401 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com IMU data Processing: IMU data provides information concerning roll, pitch and yaw of collection platform during collection event. IMU information allows the pulse vector to be properly placed in 3D space allowing the distance from the aircraft reference point to be properly positioned on the elevation model surface. IMU data is processed using the PosPac V4.2 software by Applanix Corporation of Richmond Hill, Ontario, Canada. 20070501 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com Reflective Surface Generation: The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia. 20070601 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com LIDAR Ground Point Classification: The classification and quality control (QC) of LiDAR Ground point class is carried out using TerraScan software by Terrasolid Limited of Helsinki, Finland. In the filtering process points are classified as Ground or one of several non-Ground classes including Unclassified, Overlap, and Low Points. 20071001 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com Reclassification of Water Points: LiDAR returns from open water surfaces are commonly included in the Ground class by the ground filtering algorithms. Using 2D and 3D visualization methods, 2D vector polygons were digitized for significant waterways and water bodies that were readily identifiable in the LiDAR data. These polygons were then used to re-classify points in open water from the filtered Ground class to the Water class. 20071101 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com Coordinate Reprojection: Output LAS Files LIDAR points maintained in UTM coordinate system converted to Geographic projection with units of Decimal Degrees 20071109 Sanborn Steve Jones Project Manager Mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 United States 719.264.5482 N/A 719.528.5093 sjones@sanborn.com 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 the LiDAR Data Retrieval Tool (LDART): 1. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 2. The LAS header fields were sorted by latitude and updated. 3. The data was filtered to eliminate outliers. 20080721 Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) CEM Project Scientist Mailing and physical address

2234 South Hobson Ave.

Charleston SC 29405-2413 843-740-1200 tcm@csc.noaa.gov The NOAA National Geophysical Data Center (NGDC) received Lidar data files on external harddrive. The disk contains 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 on this disk 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. 20090421 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 Unknown Point Point 0.000000001 0.000000001 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 Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) CEM Project Scientist Mailing and physical address

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://csc-s-maps-q.csc.noaa.gov/dataviewer/viewer.html 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 address

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