gov.noaa.csc.maps:fl2006_walton Department of Commerce (DOC), National Oceanic and Atmospheric Adminstration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) 20070506 vector digital data Charleston, SC NOAA's Ocean Service, Coastal Services Center (CSC) Type Of 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 http://www.csc.noaa.gov/ldart 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. This data of Walton County, Florida, was collected at sub-meter resolution to provide average point spacing of 0.7m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value. No data for Eglin AFB, permission to fly over was never granted. This data was collected to support the creation of the Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated ground and surface water model for Walton 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 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. 20060710 20060711 20060719 20060720 20060722 20060723 20060726 20060727 20060728 20060729 20060801 20060803 20060806 20060807 20060813 20060815 20060817 Ground condition at time of survey. Complete None planned -86.407834 -85.820634 31.002927 30.260327 ISO 19115 Topic Category Elevation None Elevation LiDAR Laser Bathymetry/Topography Digital Elevation Model DEM Surface Model U.S. Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions (Federal Information Processing Standard (FIPS) 10-4): Washington, D.C., National Institute of Standards and Technology US Florida Walton County None None, however, 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 it's limitations. Department of Commerce(DOC), National Oceanic and Atmospheric Administration(NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) TCM Scientist mailing and physical address

2234 South Hobson Ave

Charleston SC 29405 United States 843-740-1200 tcm@csc.noaa.gov This data set was developed for the NOAA CSC by Sanborn and Dewberry. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 No attributes were tested All LAS formatted LIDAR data are validated using commercial GIS software to ensure proper formatting and loading before delivery. This validation procedure ensures that data on delivery media is in correct physical format and is readable. LIDAR raster data is visually inspected for completeness to ensure that any gaps between flight lines or loss of signal represents less than 5% of required collection area. 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. No data for Eglin AFB, permission to fly over was never granted. Unknown 100 Compiled to meet 1 meter horizontal accuracy at 95% confidence level. Reported accuracy based on field surveys - values provided in meters using NSSDA terminology 13 13 cm root mean square error (RMSE) Department of Commerce (DOC), National Oceanic and Atmospheric Adminstration(NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) 20070506 Hard drive 20060710 20060711 20060719 20060720 20060722 20060723 20060726 20060727 20060728 20060729 20060801 20060803 20060806 20060807 20060813 20060815 20060817 ground condition Unknown Unknown 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 areas in Walton County, FL (approximately 1200 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in 20 missions between July 10, 2006 and August 17, 2006. 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: Destport, Destport AZ MK, K29, and Q125. GPS ground control check points were also collected by the LiDAR team while onsite for product accuracy validation and delivery. 20060831 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. 20060831 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. 20060831 Reflective Surface Generation: The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia. 20060930 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. 20061130 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. 20070430 Coordinate Reprojection: Output LAS Files LIDAR points maintained in UTM coordinate system converted to Geographic projection with units of Decimal Degrees 20070503 Water points further classified outside of the editing polygons used by Sanborn. Additional edits include re-classifying water points to ground in some areas. 20070510 Keil Schmid NOAA CSC TCM Scientist Mailing and physical address

2234 South Hobson Ave

Charleston SC 29405 US 843-740-2620 keil.schmid@noaa.gov Created initial metadata 20070517 Bill Claveau Sanborn Senior Program Manager mailing and physical address

1935 Jamboree Drive, Suite 100

Colorado Springs Colorado 80920-9702 USA 719.593.0093 N/A 719.528.5093 bclaveau@sanborn.com Files converted to LDART LAS format(geographic coords, ellipsoid heights), sorted by latitude and filtered to eliminate outliers. 20070522 Department of Commerce(DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) TCM Project Scientist Mailing and physical address

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 on external harddrive. The disk contains LiDAR data from the NOAA Coastal Services Center. This data is currently being served via LDART at http://www.csc.noaa.gov/ldart . This data can be used to re-populate the system. 20071226 DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Kelly Stroker Mailing and Physical Address

NOAA/NESDIS/NGDC E/GC1 325 Broadway

Boulder CO 80305-3328 USA (303) 497-4603 (303) 497-6958 (303) 497-6513 kelly.stroker@noaa.gov 7:30-5:00 Mountain Contact Data Center 100 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 Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) Keil Schmid TCM Project Scientist mailing and physical address

2234 South Hobson Ave.

Charleston SC 29405 843-740-1200 tcm@csc.noaa.gov Downloadable Data Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the CSC or it's partners. This data set can be obtained online at the following URL: http://www.csc.noaa.gov/ldart DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce Kelly Stroker Mailing and Physical Address

NOAA/NESDIS/NGDC E/GC1 325 Broadway

Boulder CO 80305-3328 USA (303) 497-4603 (303) 497-6958 (303) 497-6513 kelly.stroker@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. 20080206 20070524 Department of Commerce(DOC), National Oceanic and Atmospheric Administration(NOAA), National Ocean Service (NOS), Coastal Services Center(CSC) Keil Schmid TCM Project Scientist mailing and physical address

2234 South Hobson Ave

Charleston SC 29405 USA 843-740-1200 tcm@csc.noaa.gov FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile