gov.noaa.csc.maps:2009_OPR_Columbia_River_m1079 Oregon Parks and Recreation Department Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) 201111 Charleston, SC NOAA's Ocean Service, Coastal Services Center (CSC) http://www.csc.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1079 http://www.csc.noaa.gov/lidar http://www.csc.noaa.gov The data set represents the lidar elevations along the Columbia River corridor in Oregon, including portions of the following counties: Gilliam, Hood River, Multnomah, Sherman, Umatilla, Wasco. The area includes portions of the Columbia River Gorge, as well as three smaller areas east of Hood River, OR. This data set covers 27,577 acres and was collected between December 7, 2009 and February 22, 2010. This data is part of a larger LiDAR survey effort by the US Army Corps of Engineers along the entire Columbia River. The lidar data are multiple return and are classified as unclassified and bare earth. The LiDAR survey used Leica ALS50 Phase II and ALS60 laser systems. The sensor scan angle was +/- 14 degrees from nadir with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system) of > or = 8 points per square meter over terrestrial surfaces. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Watershed Sciences, Inc. collected the LiDAR and created this data set for Oregon Parks and Recreation Department. Provide high resolution elevation data. The Lidar Report for this data set may be viewed at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/opr/OPRD_ColumbiaRiver_LiDAR_Report.pdf A footprint of this data set may be viewed in Google Earth at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/opr/2009_Oregon_Parks_and_Rec_Columbia_River.kmz 20091207 20100222 Ground Condition Complete None planned -122.336769 -119.134347 45.919502 45.516912 ISO 19115 Topic Category elevation None Bathymetry/Topography LiDAR Light Detection and Ranging DEM Digital Terrain Model Oregon Parks and Recreation Department Elevation data Topography Bare earth High-resolution Bare ground DTM None United States Oregon Pacific Northwest Columbia River Gilliam County Hood River County Multnomah County Sherman County Umatilla County Wasco 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. Oregon Parks and Recreation Brady Callahan mailing and physical

725 Summer St. NE, Suite C

Salem OR 97301 USA 503-986-0783 brady.callahan@state.or.us Oregon Parks and Recreation Department Not provided Flightlines and LiDAR data were reviewed to ensure complete coverage of the survey area and positional accuracy of the laser points. Not provided The Root Mean Square Error (RMSE) of the data set is 0.14 feet (4.2 cm). Accuracy was assessed using 4293 ground survey RTK (real time kinematic) points. Acquisition This LiDAR survey used Leica ALS50 Phase II and ALS60 laser systems. The sensor scan angle was +/- 14 degrees from nadir with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system) of greater than or equal to 8 points per square meter over terrestrial surfaces. It is not uncommon for some types of surfaces (e.g. water) to return fewer pulses than the laser originally emitted. These discrepancies between 'native' and 'delivered' density will vary depending on the terrain, land cover, and the prevalence of water bodies. All areas were surveyed with an opposing flight line side-lap of greater than or equal to 60% (greater than or equal to 100% overlap) to reduce laser shadowing and increase surface laser painting. The Leica laser systems allow up to four range measurements (returns) per pulse, and all discernible laser returns were processed for the output data set. To accurately solve for laser point position (geographic coordinates x,y,z) the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Aircraft position was measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude was measured 200 times per second (200 Hz) as pitch, roll, and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for post-processing correction and calibration, aircraft/sensor position and attitude data were indexed to GPS time. 2010 Processing 1. Laser point coordinates were computed using the IPAS and ALS Post Processor software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) were assigned an associated (x,y,z) coordinate along with unique intensity values (0-255). The data were output into large LAS v1.2 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x,y,z (easting, northing, and elevation) information. 2. These initial laser point files were too large for subsequent processing. To facilitate laser point processing, bins (polygons) were created to divide the data set into manageable sizes (< 500 MB). Flightlines and LiDAR data were then reviewed to ensure complete coverage of the survey area and positional accuracy of the laser points. 3. Laser point data were imported into processing bins in TerraScan and manual calibration was performed to assess the system offsets for pitch, roll, heading, and scale (mirror flex). Using a geometric relationship developed by Watershed Sciences, each of these offsets were resolved and corrected if necessary. 4. LiDAR points were then filtered for noise, pits (artificial low points) and birds (true birds, as well as erroneously high points) by screening for absolute elevation limits, isolated points, and height above ground. Each bin was then manually inspected for remaining pits and birds and spurious points were removed. In a bin containing approximately 7.5 - 9.0 million points, an average of 50 - 100 points are typically found to be artificially low or high. Common sources of non-terrestrial returns are clouds, birds, vapor, haze, decks, brush piles, etc. 5. Internal calibration was refined using TerraMatch. Points from overlapping lines were tested for internal consistency and final adjustments were made for system misalignments (i.e., pitch, roll, heading offsets and scale). Automated sensor attitude and scale corrections yielded 3 - 5 cm improvements in the relative accuracy. Once system misalignments were corrected, vertical GPS drift was then resolved and removed per flight line, yielding a slight improvement (< 1 cm) in relative accuracy. 6. The TerraScan software suite is designed specifically for classifying near ground points (Soininen, 2004). The processing sequence began by removing all points that were not near the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model was visually inspected and additional ground point modeling was performed in site-specific areas to improve ground detail. This manual editing of ground often occurs in areas with known ground modeling deficiencies such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, automated ground point classification erroneously included known vegetation (i.e., understory, low/dense shrubs, etc.). These points were manually reclassified as non-grounds. Ground surface rasters were developed from triangulated irregular networks (TINs) of ground points. 2010 The NOAA Coastal Services Center (CSC) received the files in las format. The files contained lidar elevation and intensity measurements. The data was in Lambert Conformal Conic projection and NAVD88 Geoid 09 vertical datum. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from Lambert Conformal Conic coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in international feet to GRS80 (ellipsoid) heights in meters using Geoid 09. 3. The data were filtered to remove outliers. 4. The LAS data were sorted by latitude and the headers were updated. 201110 NOAA Coastal Services Center mailing and physical

2234 South Hobson Ave.

Charleston SC 29405-2413 US 843-740-1200 csc.info@noaa.gov For questions please use the form at http://www.csc.noaa.gov/contact/contactForm.htm 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. 20120213 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 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 NOAA Coastal Services Center mailing and physical

2234 South Hobson Ave.

Charleston SC 29405-2413 US 843-740-1200 csc.info@noaa.gov For questions please use the form at http://www.csc.noaa.gov/contact/contactForm.htm Downloadable Data Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Parks and Recreation Department, the Coastal Services Center, or its partners. This data can be obtained on-line at the following URL: http://www.csc.noaa.gov/lidar The data set is dynamically generated based on user-specified parameters. 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. 20120213 20120213 20130213 NOAA Coastal Services Center mailing and physical

2234 South Hobson Ave.

Charleston SC 29405-2413 US 843-740-1200 csc.info@noaa.gov For questions please use the form at http://www.csc.noaa.gov/contact/contactForm.htm FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998