2016/01/291.0FGDC CSDGM MetadataFALSEOLC_Wallowa_DEM_Index0021920575.9935332232336.1577281292559.6735691483256.37692210.076file://\\CVO-168\D\Vectors\Indices\OLC_Wallowa_DEM_Index.shpLocal Area NetworkProjectedGCS_NAD_1983_2011Linear Unit: Foot (0.304800)NAD_1983_2011_Oregon_Statewide_Lambert_Feet_Intl<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS["NAD_1983_2011_Oregon_Statewide_Lambert_Feet_Intl",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["false_easting",1312335.958005249],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-120.5],PARAMETER["standard_parallel_1",43.0],PARAMETER["standard_parallel_2",45.5],PARAMETER["latitude_of_origin",41.75],UNIT["Foot",0.3048]]</WKT><XOrigin>-118489100</XOrigin><YOrigin>-97381100</YOrigin><XYScale>37592196.316242374</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>201601301227360020160130122736001500000005000FGDCMicrosoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035OLC_Wallowa_DEM_Index2016/01/29Quantum Spatial517 SW 2nd St., Suite 400CorvallisOR97333US541-752-1204http://www.quantumspatial.comQuantum Spatial1-118.136995-116.89458045.79474445.241094OLC Wallowa LiDAR2015-07-042015-07-15Provide support for high resolution terrain elevation data from the OLC Wallowa LiDAR dataset. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This shapefile represents the raster index for the OLC Wallowa LiDAR study area. This data is assembled by USGS Quadrangles. The DEM grid cell size is 3 ft. The horizontal datum for this dataset is NAD83 (2011), the vertical datum is NAVD88, Geoid 12A, and the data is projected in Oregon Statewide Lambert. Units are in International Feet. Quantum Spatial collected the OLC Wallowa LiDAR data for the Oregon LiDAR Consortium between 07/04/15 and 07/15/15.</SPAN></P></DIV></DIV></DIV>Oregon LiDAR ConsortiumLight Detection and RangingLiDARBoundaryShapefileWallowa CountyOregonWallowaGrande RondeEnterpriseJosephLight Detection and Ranging, LiDAR, DEM Index, Raster, ShapefileWallowa CountyOregonWallowa, Grande Ronde, Enterprise, JosephThis data is projected in Oregon Statewide LambertJacob EdwardsOregon LiDAR Consortium800 NE Oregon St, Suite 965PortlandOregon97232jacob.edwards@dogami.state.or.usUS971-673-1557Please contact the Oregon LiDAR Consortium for information regarding the use of this data. Shapefile10.076Jacob EdwardsOregon LiDAR Consortium800 NE Oregon St, Suite 965PortlandOregon97232jacob.edwards@dogami.state.or.usUS971-673-1557datasetEPSG7.11.228SimpleFALSE28FALSEFALSEOLC_Wallowa_DEM_IndexFeature Class28OLC Wallowa LiDAR DEM IndexQuantum SpatialFIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeShapeGeometry000Feature geometry.EsriCoordinates defining the features.DEM_IDDEM_IDString5000Unique DEM identificationQuantum SpatialUSGS Quadrangles2016/01/29Quantum Spatial517 SW 2nd St., Suite 400CorvallisOR97333US541-752-1204http://www.quantumspatial.comQuantum SpatialQuantum SpatialLiDAR data has been collected and processed for all areas within the project study area.Flight plans are designed with sufficient sidelap to ensure there are no gaps between flight lines. Shaded relief images have been visually inspected for gaps. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting.
LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The Root Mean Square Error (RMSE) of line to line relative accuracy for this dataset is 0.154 ft (0.047 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Data was examined at a 1:2000 scale. Relative accuracy of the flight lines was assessed in Microstation using TerraMatch. RMSEft_i0.154 ft (0.047 m)The Fundamental Vertical Accuracy (FVA) of this dataset, tested at 95% confidence level is 0.238 ft (0.073 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.Fundamental Vertical Accuracy was assessed using 137 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data. FVAft_i0.238 ft (0.073 m)Acquisition. Quantum Spatial collected the OLC Wallowa LiDAR data between 07/04/15 and 07/15/15. The survey used a Leica ALS70 laser system mounted in a Cessna Caravan. Data was collected using multi pulse flight plan. Ground level GPS and aircraft IMU were collected during the flight.
Leica ALS70 Instrument Parameters:
Beam diameter: 32 cm,
Pulse rate: 198 kHz,
Maximum returns: 4,
Speed: 110 knots,
Overlap: 60 %,
Laser power: 71 %,
Field of view (FOV): 28°,
Beam wavelength: 1064 nm,
Frequency of GPS sampling: 2 Hz,
Frequency of IMU sampling: 200 Hz,
Swath width: 750 m,
AGL: 1400 m,
Average pulse density: 8ppms2015-07-151. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using ALS Post Processor and IPAS TC software based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical accuracy. 2016/01/29Vertical accuracy was also assessed using ground control points that were used in the calibration and post processing of the LiDAR point cloud as they still serve as a good indication of the overall accuracy of the LiDAR dataset. The Root Mean Square Error (RMSE) of the vertical accuracy of the LiDAR dataset as compared to ground control points is 0.121 ft (0.037 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.3643 ground control points were collected and utilized in the calibration and post processing of the LiDAR data point cloud.RMSE0.121 ft (0.037 m)[ft_i]