1.0 FGDC CSDGM Metadata FALSE SCWA_RussianRiver_Lidar_BareEarth_DEM_2021 Local Area Network 002 6267597.000000 6339507.000000 1975758.000000 2074383.000000 1 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_California_II_FIPS_0402_Ft_US <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/10.7'><WKT>PROJCS["NAD_1983_2011_StatePlane_California_II_FIPS_0402_Ft_US",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",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6418]]</WKT><XOrigin>-115211800</XOrigin><YOrigin>-93821500</YOrigin><XYScale>36983428.057351544</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103004</WKID><LatestWKID>6418</LatestWKID></ProjectedCoordinateSystem> 32 FALSE None 1 AMD TRUE continuous floating point 4100 15000 1000 20 2048 20 75 0.01 10 600 300 Basic 1 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC Basic None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D -1 -1 0.8 1 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC None,Basic,Full NONE <_docversion_ Sync="TRUE">10 Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area 36450 3 729 0 20230112 05143200 20230112 05143200 150000000 5000 FGDC Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 SCWA_RussianRiver_Lidar_BareEarth_DEM_2021 NV5 Geospatial 1100 Circle Blvd. Suite 126 Corvallis OR 97330 US 541-752-1204 http://www.quantumspatial.com NV5 Geospatial 2021-01-23T00:00:00 1 -123.032682 -122.777208 38.855642 38.582878 Russian River Lidar 2021-01-23 2021-01-23 Provide high resolution terrain elevation data from the Russian River dataset. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and anthropogenic features removed. It is derived from NIR Lidar data using TIN processing of the ground point returns. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, under dense vegetation). The horizontal datum for this dataset is NAD83 (2011), the vertical datum is NAVD88, Geoid 18, and the data is projected in California State Plane, Zone 2. Units are in US Survey Feet. NV5 Geospatial collected the Russian River Lidar data for Sonoma County Water Agency on 01/23/2021. Sonoma County Water Agency Light Detection and Ranging elevation data topography bare earth DEM digital elevation model Sonoma County California Healdsburg Geyserville Cloverdale lidar Lidar, Light Detection and Ranging, high-resolution, elevation data, topography, bare earth, DEM, digital elevation model Sonoma County California Healdsburg, Geyserville, Cloverdale 3 This data is assembled by 2250 x 2550 US survey foot tiles and projected in California State Plane, Zone 2. Carlos Diaz Sonoma County Water Agency 404 Aviation Blvd Santa Rosa California 95403 US 707-547-1956 Carlos Diaz Please contact Sonoma County Water Agency for information regarding the use of this data. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the Lidar data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces should be considered approximate due to the increase of laser noise seen over water, frequent lack of returns, and the overall dynamic nature of water.SUBJECT: PUBLIC INFORMATION REQUEST –LiDAR DataThe attached information was retrieved from Sonoma County Water Agency CAD-Drafting/GIS Records in connection with a Request for Public Information. These records and the drawings upon which they are based, were produced or conducted solely for the technical and/or functional needs and purposes of the Sonoma County Water Agency and/or other entities which it now acts, or may have acted on behalf of in the past.The Sonoma County Water Agency makes no assertions or representations regarding the sufficiency, accuracy or applicability of the information and/or records provided for any purpose beyond that for which they were originally produced.The information contained herein is for the use and information of the party to whom it was directly sent. The redistribution or “sharing”of this information is strictly prohibited. Raster Dataset 1 Carlos Diaz Sonoma County Water Agency 404 Aviation Blvd Santa Rosa California 95403 US 707-547-1956 dataset EPSG 8.9.3(10.3.1) 2 1 0 6267597.000000 1975758.000000 6267597.000000 2074383.000000 6339507.000000 2074383.000000 6339507.000000 1975758.000000 6303552.000000 2025070.500000 23970 3.000000 32875 3.000000 Band_1 1039.046143 59.805069 32 ft_us elevation Digital Elevation Model False False False False False 20230112 NV5 Geospatial 1100 Circle Blvd. Suite 126 Corvallis OR 97330 US 541-752-1204 http://www.quantumspatial.com NV5 Geospatial NV5 Geospatial Lidar 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 flightlines. 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 flightlines have been examined to ensure consistent elevation values across overlapping flightlines. The Root Mean Square Error (RMSE) of line to line relative accuracy for this dataset is 0.045 ft (0.014 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 flightlines was assessed in Microstation using TerraMatch. RMSE ft_us 0.045 ft (0.014 m) The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.223 ft (0.068 m). Please see the Lidar data report for a discussion of the statistics related to this dataset. Non-vegetated Vertical Accuracy was assessed using 22 ground check points. These check points were not used in the calibration or post processing of the Lidar point cloud data. NVA ft_us 0.223 ft (0.068 m) The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.480 ft (0.146 m). Please see the Lidar data report for a discussion of the statistics related to this dataset. Vegetated Vertical Accuracy was assessed using 29 VVA check points. These check points were not used in the calibration or post processing of the Lidar point cloud data. VVA ft_us 0.480 ft (0.146 m) Acquisition. NV5 Geospatial collected the Russian River Lidar data on 01/23/2021. The survey used a Riegl 1560i laser system mounted in a Cessna Caravan. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Riegl 1560i Maximum returns: 15 Nominal pulse density: ≥ 15 pulses/m^2 Nominal pulse spacing: 0.26 m AGL: 1,578 m Speed: 145 knots FOV: 58.5° Scan frequency: Uniform Point Spacing Pulse rate: 1,000 kHz Pulse duration: 3 ns Pulse width: 28.4 cm Wavelength: 1,064 nm Pulses in air mode: Multiple Times Around Beam divergence: 0.18 mrads Swath width: 4,611 m Overlap: 55% 2021-01-23 1. Flightlines 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 POSpac MMS v.8.4 and RiProcess v1.8.5 software based on independent data from the Lidar system, IMU, and aircraft. 3. The raw Lidar file was assembled into flightlines 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 flightlines. 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 post-processing 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 ground survey points collected to verify the vertical accuracy. 9. TIN processing of the ground point returns was used to create this bare earth DEM. 2021-03-03 Vertical 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 0.1 ft (0.03 m). Please see the Lidar data report for a discussion of the statistics related to this dataset. 12 ground control points were collected and utilized in the calibration and post processing of the Lidar data point cloud. 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