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(WSI) 503-505-5100 503-546-6801 421 S.W. 6th Ave., Suite 800 Portland OR 97204 US ArcGIS Metadata 1.0 Sonoma County Agricultural Preservation and Open Space District Not Available 747 Mendocino Ave, Suite 100 Santa Rosa CA 95401 US Raster Dataset SoCo_USGS_10M_DEM_HS_1990 2013-11-22 WSI raster digital data <div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>The hillshade is a greyscale image showing topography in the landscape. In this case it is created from a USGS 30 meter derived bare earth digital elevation model illuminated by hypothetical light source shining from the north west. A bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed.</span></p></div></div></div> A 30 meter USGS DEM derived hillshade facilitates the visualization of the topography of a landscape at smaller scales. This hillshade which was created from a USGS bare earth digital elevation model shows the ground without any vegetation or human-made structures. This layer may be used on its own or in conjunction with other data. County of Sonoma ISD GIS, U.S. Department of Agriculture (USDA) Natural Resources Conservation Services, National Cartography & Geospatial Center. Sonoma County, Mendocino Lake, Dry Creek WSI, LiDAR, Light Detection And Ranging Sonoma County Mendocino Lake Dry Creek Hillshade Topography. This dataset was contracted by the Sonoma County Vegetation Mapping and LiDAR Consortium (the Consortium), a group of public and private organizations. This dataset may be available for public distribution, information regarding the use of this dataset should be directed to the Consortium. <div style='text-align:Left;'><div><div><p><span style='font-size:10pt'>The U.S. Geological Survey has developed a National Elevation Database (NED).The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to a consistent datum, edge-match, fill slivers of missing data at quadrangle seams, recast the data to a consistent geographic projection and convert all elevation values to decimal meters as a consistent unit of measure. </span></p><p><span>You are free to: Share - copy and redistribute the data in any medium or format. Adapt - You may make derivative works, transform, and build upon the data for any purpose, even commercial. The licensor cannot revoke these freedoms as long as you follow the license terms.</span></p><p><span>License terms: Attribution - You must give appropriate credit (if supplied, you must provide the name of the creator and attribution parties, a copyright notice, a license notice, a disclaimer notice and a link to the material) and indicate if any changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you, your organization, or your use of the data. ShareAlike - if you modify, transform, or build on the data, you must distribute your contributions under the same license as the original.</span></p><p><span>No additional Restrictions - You may not apply legal terms or technological measures that legally restrict others form doing anything the license permits.</span></p><p><span>Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the data.</span></p><p><span>EXCEPT TO THE EXTENT REQUIRED BY APPLICABLE LAW, IN NO EVENT WILL LICENSOR BE LIABLE TO YOU ON ANY LEGAL THEORY FOR ANY SPECIAL, INCIDENTAL, CONSEQUENTIAL, PUNITIVE OR EXEMPLARY DAMAGES ARISING OUT OF THIS LICENSE OR THE USE OF THE DATA, EVEN IF LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.</span></p><p><span>The above is an easily understandable summary of and not a substitute for the license and disclaimer for the Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US) the full text is available at creativecommons.org.</span></p><p><span>https://creativecommons.org/licenses/by-sa/3.0/us/legalcode</span></p><p><span /></p><p><span /></p></div></div></div> -123.067521 -122.345272 38.103762 38.304223 Ground Condition - LiDAR: Leica ALS50 & Leica ALS70 2013-09-28 2013-10-07 Watershed Sciences, Inc. (WSI) 503-505-5100 503-546-6801 421 S.W. 6th Ave., Suite 800 Portland OR 97204 US Watershed Sciences, Inc. (WSI) Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 1 -123.637835 -122.278953 38.941743 37.961384 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. 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. Some elevation units have been interpolated across areas in the ground model where there are no elevation data (e.g., over water, over dense vegetation). TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Some elevation units have been interpolated across areas in the ground model where there are no elevation data (e.g., over water, over dense vegetation). Relative Accuracy measures the divergence between points from different flightlines. Relative Accuracy median is 0.03 meters (0.11 feet) out of 42,366,153,872 laser points over 405 flightlines. For more information regarding the internal consistency between ground-classified points from different overlapping flightlines please see LiDAR data report. The Fundamental Vertical Accuracy (FVA) of the data set is 0.05 meters (0.15feet). Accuracy was assessed using 129 ground control (real time kinematic) points. These ground control points are distributed through out the project study area. The FVA was tested using 129 independent ground control points (GCP's) located in open terrain. The GCPs were distributed throughout the project area. Elevations from the unclassified LiDAR surface were measured for the x,y location of each check point. Elevations interpolated from the LiDAR surface were then compared to the elevation values of the surveyed control. The Root-Mean-Square (RMSE) was computed to be 0.05m. AccuracyZ has been tested to meet 0.05m FVA at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. 0.05 meters RMSEz at 95 percent Confidence Interval. LiDAR Data Processing. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 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. Noise (e.g., pits and birds) was filtered using ALS post-processing software, based on known elevation ranges and included the removal of any cycle slips. Using TerraScan and MicroStation, ground classifications utilized custom settings appropriate to the study area. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. Points were output as laser points, TINed and GRIDed surfaces. 2013-11-22 Acquisition. LiDAR data acquisition was started September 28, 2013 and is still ongoing. The survey is utilizing a Leica ALS50 or ALS70 laser system mounted in a Piper Navajo PA-31-325 or Cessna Caravan 208B. 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. 2013-11-22 506628 0.298582 466733 0.298582 2 1 0 -13763300.879582 4573972.070892 -13763300.879582 4713330.209610 -13612030.806323 4713330.209610 -13612030.806323 4573972.070892 -13687665.842952 4643651.140251 Band_1 32 False False False False False This raster data set represents ground surface elevations derived from ground classified LiDAR point data. 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