This raster dataset provides high resolution water depth data in the Sonoma County Russian River Modeling and Buildings project area. <div style='text-align:Left;'><div><p><span>The water depth digital elevation model (DEM) represents the difference between water surface elevation models and bare earth (all vegetation and man-made structures removed) digital elevation models. The water surface elevations were estimated using HEC RAS 5.0.1 hydrologic modeling software. Each pixel is three feet by three feet and represents an average height above ground for that area. QSI collected the LiDAR and created this data set for the Russian River Modeling and Buildings study area. The projection is CASP 2 with horizontal datum NAD83(2011), vertical datum NAVD88 (Geoid 12A), and the units are US Survey Feet. See Process Steps for derivation of raster datasets.</span></p></div></div> County of Sonoma, QSI Sonoma County, QSI, LiDAR, Light Detection and Ranging, DEM, digital terrain model, elevation data, topography, water surface elevation, water depth, flood depth, hydrology, high-resolution, surface feature, DTM Sonoma County, Guerneville, State of California, Healdsburg, Monte Rio 8/1/2017 QSI http://www.quantumspatial.com Sonoma County Shelly Bianchi-Williamson 2550 Ventura Avenue Santa Rosa California 95403 United States Shelly.Bianchi-Williamson@sonoma-county.org http://sonomacounty.ca.gov/Permit-and-Resource-Management/ False Sonoma County Russian_River_Depth_Raster_37ft Ground condition during LiDAR survey 9/28/2015 11/26/2015 This dataset was contracted by Sonoma County. Information regarding the use of this dataset should be directed to the owner. Esri ArcGIS 10.3.1.4959 1 -123.143247 -122.768528 38.859491 38.428642 The root mean square error (RMSE) of the native LiDAR point cloud data used in the creation of the bare earth DEM used to calculate this depth raster is 0.03 meters. Accuracy was assessed using ground check points (GCPs). These GCPs are distributed throughout the study area. See previous LiDAR data report. Vertical Accuracy – Deviation between laser points and GCPs. Internal consistency measures the difference between ground-classified points from different overlapping flightlines for the native LiDAR dataset used in the creation of this DEM. The median relative accuracy is out of 147,049,072,770 laser points and 5,754 flightlines. See previous LiDAR data report. Relative Accuracy – Divergence between points from different flightlines. LiDAR has been collected and processed for all areas within the project study area. In some areas of heavy vegetation and 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. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisition of an area. LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data were examined at a 1:3000 scale. Acquisition. LiDAR data acquisition was conducted from 28-Sep to 26-Nov. The survey utilized a Leica ALS50 and Leica ALS80 laser system mounted in a Cessna 208-B and Piper PA-31 Navajo. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. 11/26/2015 Processing. 1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection. 2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information. 3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise. 4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report. 5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition. 6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods. 7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language. 8. DATA PRODUCT: Hydro depth rasters were generated by subtracting the bare earth DEM from the water surface elevation DEM output from the HEC RAS modeling process. 8/1/2017 Sonoma County 2550 Ventura Avenue Santa Rosa California 95403 United States Shelly.Bianchi-Williamson@sonoma-county.org http://sonomacounty.ca.gov/Permit-and-Resource-Management/ File Geodatabase Raster Dataset QSI 421 SW 6th Ave., Suite 800 Portland Oregon 97204 USA http://www.quantumspatial.com Depth_37 002 6236126.396389 6341516.396389 1919959.543629 2075767.543629 1 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_California_II_FIPS_0402_Feet_2011 <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/10.3'><WKT>PROJCS[&quot;NAD_1983_StatePlane_California_II_FIPS_0402_Feet_2011&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;,6561666.66666667],PARAMETER[&quot;false_northing&quot;,1640416.66666667],PARAMETER[&quot;central_meridian&quot;,-122.0],PARAMETER[&quot;standard_parallel_1&quot;,38.3333333333333],PARAMETER[&quot;standard_parallel_2&quot;,39.8333333333333],PARAMETER[&quot;latitude_of_origin&quot;,37.6666666666667],UNIT[&quot;Foot_US&quot;,0.3048006096012192]]</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></ProjectedCoordinateSystem> 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