20140117100029001.0FGDC CSDGM MetadataFALSEDEL3_Flat_BreaklinesZ_Final0.000file://\\igskrdcnfssvmr\elevation\review\California\WSI--Sonoma County lidar and orthos\AREA3\DEL3_Flat_BreaklinesZ_Final.shpLocal Area Network0026124563.2844656408300.7914641912692.2713902213418.3270891ProjectedGCS_NAD_1983_2011Linear 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/10.1'><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;,6561666.666666666],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]]</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>Merge Lake_Mendocino;01_DEL3_Lake_Breaklines_CASP G:\06_Delivery_3\02_Hydro_Shapes\Lakes\01_DEL3_Lake_Breaklines_CASP_v02.shp "Id "Id" true true false 6 Long 0 6 ,First,#,Lake_Mendocino,Id,-1,-1,01_DEL3_Lake_Breaklines_CASP,Id,-1,-1"CalculateField G:\06_Delivery_3\04_Delivery\Shapes\DEL3_Flat_BreaklinesZ_Final.shp Id autoIncrement() PYTHON_9.3 "rec=0 \n\ndef autoIncrement(): \n\n global rec \n\n pStart = 1 \n\n pInterval = 1 \n\n if (rec == 0): \n\n rec = pStart \n\n else: \n\n rec += pInterval \n\n return rec"DeleteField G:\06_Delivery_3\04_Delivery\Shapes\DEL3_Flat_BreaklinesZ_Final.shp MINJoinField G:\06_Delivery_3\04_Delivery\Shapes\DEL3_Flat_BreaklinesZ_Final.shp Id G:\06_Delivery_3\04_Delivery\BH/out_table.dbf ID MINCalculateField DEL3_Flat_BreaklinesZ_Final Id 0 VB #CalculateField G:\06_Delivery_3\04_Delivery\Shapes\DEL3_Flat_BreaklinesZ_Final.shp Id autoIncrement() PYTHON_9.3 "rec=0 \n\ndef autoIncrement(): \n\n global rec \n\n pStart = 1 \n\n pInterval = 1 \n\n if (rec == 0): \n\n rec = pStart \n\n else: \n\n rec += pInterval \n\n return rec"DeleteField G:\06_Delivery_3\04_Delivery\Shapes\DEL3_Flat_BreaklinesZ_Final.shp MINJoinField G:\06_Delivery_3\04_Delivery\Shapes\DEL3_Flat_BreaklinesZ_Final.shp Id G:\06_Delivery_3\04_Delivery\BH\01_lakes_flattened/out_table.dbf ID MINCopyFeatures "M:\review\California\WSI--Sonoma County lidar and orthos\AREA3\VECTORS\Sonoma_Del3_Breaklines.gdb\DEL3_Flat_BreaklinesZ_Final" "M:\review\California\WSI--Sonoma County lidar and orthos\AREA3\DEL3_Flat_BreaklinesZ_Final.shp" # 0 0 020141014111959002014101411195900Watershed Sciences, Inc. (WSI)503-505-5100503-546-6801421 S.W. 6th Ave., Suite 800PortlandOR97204US20141014ArcGIS Metadata1.0Sonoma County Agricultural Preservation and Open Space District(707) 565-7369747 Mendocino Ave, Suite 100Santa RosaCA95401USShapefile0.000DEL3_Flat_BreaklinesZ_Final2014-02-19Sonoma County Vegetation Mapping and LiDAR Programvector digital dataThis three-dimensional polygon (PolygonZ) dataset represents water bodies that were hydro-flattened in accordance with the LiDAR Base Specifications Version 1.0 (USGS, 2012). These polylines were inserted as hard breaklines in the creation of the associated Hydro-Flattened Bare Earth rasters. Elevation values are recorded in meters. Watershed Sciences, Inc. collected the LiDAR near Farmington, UT in Davis County and created this data set for the State of Utah AGRC. The projection is UTM 12 North, NAD 83 (2011).The Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) and the University of Maryland (under grant NNX13AP69G from NASA’s Carbon Monitoring System, Dr. Ralph Dubayah, PI) contracted LiDAR and orthophoto data collection for all of Sonoma County in late 2013. Also included in the data collection were two areas in Mendocino County - the Soda Spring Creek-Dry Creek Watershed and Lake Mendocino. This fine scale data will help provide an accurate, up-to-date inventory of the county’s landscape features, ecological communities and habitats. Project funders include: NASA, the University of Maryland, the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.Sonoma County Vegetation Mapping and LiDAR Consortium, NASA, University of Maryland, Watershed Sciences, Inc., Tukman Geospatial LLCSonoma County, Lake Mendocino, Sonoma Lake WatershedLiDAR, Light Detection And RangingLiDAR, Light Detection And RangingSonoma County, Lake Mendocino, Sonoma Lake WatershedData were provided by the University of Maryland and the Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) under grant NNX13AP69G from NASA’s Carbon Monitoring System (Dr. Ralph Dubayah, PI). This data is available for unrestricted public use. However, users should acknowledge the source of the data in any reports, publications, or presentations where the data is used.Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) under grant NNX13AP69G from NASA’s Carbon Monitoring System (Dr. Ralph Dubayah, PI). This data is available for unrestricted public use. However, users should acknowledge the source of the data in any reports, publications, or presentations where the data is used.Ground Condition: Leica ALS50 & Leica ALS702013-09-282013-11-26-123.238581-122.39068138.29812938.511668Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.31871-123.543182-122.53524639.23876538.404203Generalized three dimensional polylines were created to encompass all areas considered to be water and were assigned the water surface elevation value determined previously. All “flat” water bodies greater than two acres were considered for hydro-flattening. All "islands" greater than 100 square meters were retained in the digital elevation models (DEMs).Due to weather patterns and various other acquisition factors, contiguous LiDAR missions are occasionally flown more than a day apart and water levels can very between these flight missions. See Process Steps for more information.1. LiDAR points sampled to arrive at an elevation threshold defining the water surface at the time of acquisition. 2. Generalized three dimensional polylines were created to encompass all areas considered to be water and assigned the water surface elevation value. 3. Centerlines were digitized for all water surfaces not perceived as “flat” then given z values. 4. A bounding polygon was created around the water points with all discontinuities (e.g., bridges, overhanging vegetation, etc.) removed. Z-values were applied to the bounding polygon based on the elevation values of the associated centerlines. 5. The bare-earth DEMs were created by triangulating all “ground” classified points and inserting 3-D breaklines utilizing TerraSolid’s TerraScan and TerraModeler software.2014-02-190DEL3_Flat_BreaklinesZ_FinalExtent of hydro-flattened water surfacesWSIFeature Class0FIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.EsriCoordinates defining the features.ShapeGeometry000IdIdInteger990MINMINSingle1300Shape_LengShape_LengDouble1900Shape_AreaShape_AreaDouble1900Area of feature in internal units squared.EsriPositive real numbers that are automatically generated.datasetSimpleFALSE0FALSEFALSE