20221210 1.0 FGDC CSDGM Metadata FALSE SCWA_SonomaCreek_Lidar_Intensity_Bath_2021.tif Local Area Network 002 6392154.000000 6444024.000000 1845000.000000 1925532.000000 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[&quot;NAD_1983_2011_StatePlane_California_II_FIPS_0402_Ft_US&quot;,GEOGCS[&quot;GCS_NAD_1983_2011&quot;,DATUM[&quot;D_NAD_1983_2011&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,6561666.666666666],PARAMETER[&quot;False_Northing&quot;,1640416.666666667],PARAMETER[&quot;Central_Meridian&quot;,-122.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.33333333333334],PARAMETER[&quot;Standard_Parallel_2&quot;,39.83333333333334],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,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> 8 FALSE LZW 1 TIFF TRUE continuous unsigned integer 0 20221210 07572600 20221210 07572600 150000000 5000 FGDC 07290800 Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 SCWA_SonomaCreek_Lidar_Intensity_Bath_2021 raster digital data 2021-04-21 NV5 Geospatial 1100 Circle Blvd. Suite 126 Corvallis OR 97330 US 541-752-1204 http://www.nv5.com/geospatial NV5 Geospatial 1 -122.591889 -122.409510 38.448803 38.226890 Sonoma Creek Topobathymetric Lidar 2021-02-04 2021-02-06 Provide intensity images of Sonoma Creek Topo bathymetric Lidar data. <div style='text-align:Left;'><div><div><p><span>This .tif file represents the intensity values of the Green Lidar laser returns from the Sonoma Creek Topo bathymetric dataset. 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 Sonoma Creek Topo bathymetric Lidar data for Sonoma Water between 02/04/2021 and 02/06/2021.</span></p></div></div></div> Sonoma Water Light Detection and Ranging lidar intensity intensity image Sonoma County California Environmental Science Associates Light Detection and Ranging lidar intensity intensity image Sonoma County California Environmental Science Associates 1.5 This data is assembled by AOI and projected in California State Plane, Zone 2. Please contact Sonoma Water for information regarding the use of this data. Carlos Diaz Sonoma Water 404 Aviation Blvd Santa Rosa California 95403 carlos.diaz@scwa.ca.gov US 707-547-1956 <div style='text-align:Left;'><div><div><p><span style='font-weight:bold;'>SUBJECT: PUBLIC INFORMATION REQUEST –LiDAR Data</span></p><p><span>The 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. </span></p><p><span>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.</span></p><p><span>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. </span></p></div></div></div> Raster Dataset 1 Carlos Diaz Sonoma Water 404 Aviation Blvd Santa Rosa California 95403 carlos.diaz@scwa.ca.gov US 707-547-1956 dataset EPSG 8.9.3(10.3.1) 2 1 0 6392154.000000 1845000.000000 6392154.000000 1925532.000000 6444024.000000 1925532.000000 6444024.000000 1845000.000000 6418089.000000 1885266.000000 34580 1.500000 53688 1.500000 Band_1 255.000000 12.000000 8 [arb'U] Green Intensity GRN_INT False False False False False Intensity 2021-04-21 NV5 Geospatial 1100 Circle Blvd. Suite 126 Corvallis OR 97330 US 541-752-1204 http://www.nv5.com/geospatial 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 0.068 ft (0.021 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 0.068 ft (0.021 m) The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.122 ft (0.037 m) versus the classified point cloud. Please see the lidar data report for a discussion of the statistics related to this dataset. Non-vegetated Vertical Accuracy was assessed using 8 ground check points. These check points were not used in the calibration or post processing of the lidar point cloud data. NVA ft_us 0.122 ft (0.037 m) The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.115 ft (0.035 m) versus the bare earth digital elevation model. Please see the lidar data report for a discussion of the statistics related to this dataset. Non-vegetated Vertical Accuracy was assessed using 8 ground check points. These check points were not used in the calibration or post processing of the lidar point cloud data. NVA ft_us 0.115 ft (0.035 m) The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.588 ft (0.179 m) versus the classified point cloud. Please see the lidar data report for a discussion of the statistics related to this dataset. Vegetated Vertical Accuracy was assessed using 24 VVA check points. These check points were not used in the calibration or post processing of the lidar point cloud data. VVA ft_us 0.588 ft (0.179 m) The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.611 ft (0.186 m) versus the bare earth digital elevation model. Please see the lidar data report for a discussion of the statistics related to this dataset. Vegetated Vertical Accuracy was assessed using 24 VVA check points. These check points were not used in the calibration or post processing of the lidar point cloud data. VVA ft_us 0.611 ft (0.186 m) 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 0.068 ft (0.021 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. RMSE 0.068 ft (0.021 m) ft_us Vertical accuracy was also assessed using bathymetric bottom check points collected over submerged bathymetric terrain. The bathymetric check point accuracy of this dataset, tested at 95% confidence level is 0.544 ft (0.166 m). Please see the lidar data report for a discussion of the statistics related to this dataset. Bathymetric bottom vertical accuracy was assessed using 84 bathymetric bottom check points. These check points were not used in the calibration or post processing of the lidar point cloud data. 95% Confidence ft_us 0.544 ft (0.166 m) Vertical accuracy was also assessed using wetted edge check points collected at the interface between water and terrain. The wetted edge check point accuracy of this dataset, tested at 95% confidence level is 0.369 ft (0.112 m). Please see the lidar data report for a discussion of the statistics related to this dataset. Wetted edge vertical accuracy was assessed using 16 wetted edge check points. These check points were not used in the calibration or post processing of the lidar point cloud data. 95% Confidence ft_us 0.369 ft (0.112 m) Acquisition. NV5 Geospatial collected the Sonoma Creek Topobathymetric Lidar data between 02/04/2021 and 02/06/2021. The survey used a Riegl VQ-880-GII laser system mounted in a Cessna Caravan. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Riegl VQ-880-GII Maximum returns: 15 Nominal pulse density: 15 pulses/m^2 Nominal pulse spacing: 0.26 m AGL: 450 m Speed: 145 knots FOV: 40° Scan frequency: 80 Lines Per Second Pulse rate: 200 kHz Pulse duration: 1.5 ns Pulse footprint: 31.5 cm Wavelength: 532 nm Pulses in air mode: Multiple Times Around Beam divergence: 0.7 mrads Swath width: 328 m Overlap: 30% Sensor: Riegl VQ-880-GII-IR Maximum returns: 15 Nominal pulse density: 15 pulses/m^2 Nominal pulse spacing: 0.26 m AGL: 450 m Speed: 145 knots FOV: 42° Scan frequency: Uniform Point Spacing Pulse rate: 300 kHz Pulse duration: 3 ns Pulse footprint: 9 cm Wavelength: 1064 nm Pulses in air mode: Multiple Times Around Beam divergence: 0.2 mrads Swath width: 345 m Overlap: 30% 2021-02-06T00:00:00 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 RiProcess V1.8.5 and POSPac MMS V.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. 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