gov.noaa.csc.maps:2004_CT_m20 DOC/NOAA/NOS/CSC/CRS > Coastal Remote Sensing Program, Coastal Services Center, National Ocean Service, NOAA, U.S. Department of Commerce 20060814 1st Edition http://www.csc.noaa.gov/lidar LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, 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 was collected at submeter resolution to provide nominal 1m spacing of collected points. Two returns were recorded for each pulse in addition to an intensity value. This data set is a raster file of z values with 153 columns and 61 rows. The data set was generated from a larger data set and includes all valid points within the requested geographic bounds. LIDAR data is used for 3D visualization, elevation based analysis and for feature extraction. 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. Open water is classified as not bare ground. 20041008 ground condition Complete None planned -72.908092 -72.279933 41.453890 41.240042 None elevation lidar laser beach topography digital elevation model DEM erosion 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 U.S. Department of Commerce, 1987, Codes for the Indentification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standards (FIPS) 5-2): Washington, D.C., National Institute of Standards and Technology. CT City Location New Haven Old Saybrook Site Location Qunnipiac River New Haven Harbor Connecticut Coastline Connecticut River None Any conclusions drawn from analysis of this information are not the responsibility of NOAA or the Coastal Services Center. 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. Coastal Remote Sensing Program TCM Project Scientist mailing and physical address

2234 South Hobson Avenue

Charleston South Carolina 29405 United States (843) 740-1200 csc@csc.noaa.gov n/a US DOD Unclassified Information Unclassified with release control provided by NOAA/Coastal Services Center 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. Areas of open water where loss of LIDAR signal is common are corrected to the best estimate of water level at time of collection. 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. Horizontal accuracy can be characterized by the rule of thumb of 1/2000th of flying height or roughly 0.5 meters for this collect. Spot checks in the field routinely are measured at 1/4000th of flying height but are not formally characterized. 0.5 Accuracy units - meters The vertical accuracy was tested following the National Standards for Spatial Data Accuracy. Based on a total of 22 points the average error between the bare earth LiDAR coverage and the control was 0.002 m with a root mean square error (RMSE) of 0.057 m. 0.002 Average error between Bare Earth LiDAR coverage and control. Accuracy units - meters 0.057 Root Mean Square Error (RMSE) Accuracy units - meters Woolpert LLP Unpublished material Type Of Scanner = LH Systems ALS50 Data Acquisition Height = 3,000-feet AGL Scanner Field Of View = 40 degrees Scan Frequency = 36 Hertz Pulse Repetition Rate - 52.3 KiloHertz Aircraft Speed = 130 KIAS Swath Width = +/- 20 degrees Nominal Ground Sample Distance = 3.0-feet Number of Returns Per Pulse = 2 (first and last) Distance Between Flight Lines = 1,529-feet 3000 DVD-ROM 20041008 ground condition LIDAR Raw spatial elevation information Woolpert LLP Unpublished material The ALS50 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles. Validation Report Unknown publication date Calibration Minimizes horizontal error caused by IMU mis-alignment by checking over known range and by comparing positional results from adjacent flight lines to compute error adjustment function. Data Collection: Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 41 flight lines of high density (submeter ground sample distance) data were collected over areas in coastal Connecticut (approximately 300 square kilometers). Two returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in one (1) mission on October 8, 2004. Three (3) airborne global positioning system (GPS) base stations were used to support the LiDAR data acquisition: Moriches 1 continuously operating reference station (CORS) ARP, NGS point P36, and one station Woolpert located using static GPS positioning methods, Madison CP. In addition, twenty-two control points were surveyed through fast-static GPS methods to support the final accuracy analysis and tied into the National Geodetic Survey (NGS) points Moriches CORS and P36. 200410 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 V4.10 software by Waypoint Consulting of Calgary, Alberta, Canada. The PDOP and distance separation is as follows: P36: Maximum PDOP = 3.58 (maximum) Average Distance Separation: 17 km Madison CP: Maximum PDOP = 3.58 (maximum) Average Distance Separation: 19 km 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 a combination of proprietary software and TerraScan software by Terrasolid Limited of Helinski, Finland. Two (2) coverages were delivered in the LAS file format: bare-earth and above ground features. 200411 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. 200411 Reflective Surface Generation: The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia. 200411 LIDAR Point Classification The classification and quality control (QC) of LiDAR data is carried out using a combination of proprietary software and TerraScan software by Terrasolid Limited of Helinski, Finland. 200412 Output LAS Files Random LIDAR points maintained in UTM coordinate system converted to Geographic projection with units of Decimal Degrees 200501 Transfer to delivery media: Data is transferred from hard-disk to DVD delivery media using a Primera Bravo DVD/CDROM disc publishing hardware. 200501 Coastal Remote Sensing Program TCM Project Scientist mailing and physical address

2234 South Hobson Avenue

Charleston South Carolina 29405 United States (843) 740-1200 csc@csc.noaa.gov 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 las files were converted from State Plane coordinates to Geographic coordinates. 2. The las header fields were sorted by latitude and updated. 20060927 Coastal Remote Sensing Program TCM Project Scientist mailing and physical address

2234 South Hobson Avenue

Charleston South Carolina 29405 United States (843) 740-1200 csc@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. 20060103 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 3.77269659235446e-08 2.83197892548575e-08 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137 298.257 North American Vertical Datum of 1988 0.01 meters Explicit elevation coordinate included with horizontal coordinates NOAA Coastal Services Center Coastal Remote Sensing Program Manager mailing and physical address

2234 South Hobson Avenue

Charleston SC 29405-2413 none csc@csc.noaa.gov No warranty expressed or implied is made by NOAA/Coastal Services Center regarding the utility or the data on any other system, nor shall the act of distribution constitute any such warranty. 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 NOAA Coastal Services Center Keil Schmid Metadata Specialist mailing and physical address

2234 South Hobson Avenue

Charleston SC 29405-2413 none metadata@csc.noaa.gov FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998