20170526095744001.0FALSESonoma_Delivery3_BuildingPT_Extents0.000file://\\172.16.105.11\Seagate\WSI\AREA3\VECTORS\Sonoma_Del3_Buildings.gdbLocal Area Network0026123648.5494186426057.3363321910364.6421872215647.2468441Merge Buddy_Temple_extents;Initial_Del3_extents_needs_30;Lvl_30_buildings_extents F:\Buildings\Sonoma_Building_Depot\Del3\Building_Finalizing\DEL_3_Building_Extents_finalizing.shp "ID "ID" true true false 10 Double 0 10 ,First,#,Buddy_Temple_extents,ID,-1,-1,Initial_Del3_extents_needs_30,ID,-1,-1,Lvl_30_buildings_extents,ID,-1,-1;LAYER "LAYER" true true false 32 Text 0 0 ,First,#,Buddy_Temple_extents,LAYER,-1,-1,Initial_Del3_extents_needs_30,LAYER,-1,-1,Lvl_30_buildings_extents,LAYER,-1,-1;COLOR "COLOR" true true false 4 Short 0 4 ,First,#,Buddy_Temple_extents,COLOR,-1,-1,Initial_Del3_extents_needs_30,COLOR,-1,-1,Lvl_30_buildings_extents,COLOR,-1,-1;LINETYPE "LINETYPE" true true false 32 Text 0 0 ,First,#,Buddy_Temple_extents,LINETYPE,-1,-1,Initial_Del3_extents_needs_30,LINETYPE,-1,-1,Lvl_30_buildings_extents,LINETYPE,-1,-1;THICKNESS "THICKNESS" true true false 6 Float 3 5 ,First,#,Buddy_Temple_extents,THICKNESS,-1,-1,Initial_Del3_extents_needs_30,THICKNESS,-1,-1,Lvl_30_buildings_extents,THICKNESS,-1,-1;ELEVATION "ELEVATION" true true false 16 Double 0 16 ,First,#,Buddy_Temple_extents,ELEVATION,-1,-1,Initial_Del3_extents_needs_30,ELEVATION,-1,-1,Lvl_30_buildings_extents,ELEVATION,-1,-1;ET_ID "ET_ID" true true false 8 Long 0 8 ,First,#,Buddy_Temple_extents,ET_ID,-1,-1,Initial_Del3_extents_needs_30,ET_ID,-1,-1,Lvl_30_buildings_extents,ET_ID,-1,-1"DefineProjection DEL_3_Building_Extents_finalizing_selection PROJCS['NAD_1983_StatePlane_California_II_FIPS_0402_Feet_(2011)',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]]FeatureClassToFeatureClass DEL_3_Building_Extents_plus100sqft F:\Buildings\Sonoma_Building_Depot\Sonoma_Delivery3_Buildings\Sonoma_Delivery3_Buildings.gdb Sonoma_Del3_BuildingPT_Extents # "ID "ID" true true false 10 Double 0 10 ,First,#,F:\Buildings\Sonoma_Building_Depot\Del3\Building_Finalizing\DEL_3_Building_Extents_plus100sqft.shp,ID,-1,-1;Area "Area" true true false 13 Float 0 0 ,First,#,F:\Buildings\Sonoma_Building_Depot\Del3\Building_Finalizing\DEL_3_Building_Extents_plus100sqft.shp,Area,-1,-1" #ProjectedGCS_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;,6561666.66666667],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>3048.0060960121918</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>20140508103220002014050810322000Watershed Sciences, Inc. (WSI)503-505-5100503-546-6801422 SW 6th AvePortlandOR97204US20140508ArcGIS Metadata1.0Sonoma County Agricultural Preservation and Open Space District(707) 565-7369747 Mendocino Ave, Suite 100Santa RosaCA95401USFile Geodatabase Feature ClassSonoma_Delivery3_BuildingPT_Extents2014-02-19Sonoma County Vegetation Mapping and LiDAR Programvector digital dataThe building footprints dataset was created in MicroStation using the “Vectorize Buildings” tool, which creates 3D vector surfaces based off of LiDAR points. The building vectors were then refined in ArcMap by aggregating the building vectors into footprint polygons. For this project WSI created two types of building polygons: 1 - Building Point Extent showing presence of building classified LiDAR points; and 2 - Cartographic Buildings with enforced right angles and common orientations.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 Ranging, OrthophotosSonoma County, Lake Mendocino, Sonoma Lake WatershedLiDAR, Light Detection And Ranging, OrthophotosData 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.Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.0.3348-123.238581-122.39068138.29812938.511668Ground Condition: ALS50 (LiDAR) and Ultracam Eagle (orthophotos)2013-09-282013-11-261-123.546544-122.47323539.24515938.397771Building classified LiDAR and derived vectors have been evaluated for completeness. Building polygons have no interior gaps. Cartographic Buildings are 100 sq ft or greater. See Process Steps for more information.Building vectors are created from building-classified LiDAR rasters. Both LiDAR points and vectors have been QCed for consistency. Cartographic Buildings emphasize right angles and common orientations. See Process Steps for more information.BUILDING VECTORIZATION METHODOLOGY Vector Deliverable 2 - Cartographic Buildings. 1. The polygons are generalized to extract probable building edges and dominant orientation angles. 2. The polygons are redrawn with enforcement of right angles between all edge segments. 3. Resulting polygons are rotated to fit dominant orientations. 4. A supervised analysis corrects for edges that do not intersect at right angles. 5. Only buildings greater than 9.29m2 (100 ft) are retained in the final dataset.2013-12-20BUILDING VECTORIZATION METHODOLOGY 1. Vector Deliverable 1 - Building Point Extent. 1. A half-meter raster showing the presence or absence of building classified points is generated from the point cloud. 2. The raster is converted to a vector and interior gaps are removed from each polygon.2013-12-20BUILDING POINT CLASSIFICATION 1. Pre-processing - a. Ground point classification, b. Points greater than 2.13m (7ft) above the triangulated ground surface are initially considered to be building candidates. 2. Primary Classification - a. Groups of candidate points that formed planes with a vertical tolerance of 11cm, and had a minimum area of 9.29m2 (100 ft) are classified as building points; b. A triangulated surface (maximum edge length of 0.90 m) is created from the building clusters in order to capture proximate points. If the proximate points are within a ±0.61 m range of the triangular surface, they are classified as building points. 3. Secondary Verification - a. LAS files are inspected using TerraSolid products and significant remaining errors were corrected; i. Errors of Omission: Buildings with significant number of points not classified as building or missed entirely, ii. Errors of Commission: Things other than buildings classified as such (RVs, trees, bridges, etc.)2013-12-2093948Sonoma_Delivery3_BuildingPT_ExtentsThis data set represents vectorized building footprints derived from classified LiDAR point data.WSIFeature Class93948OBJECTIDOBJECTIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.EsriCoordinates defining the features.ShapeGeometry000IDIDDouble800AreaAreaSingle400Shape_LengthShape_LengthDouble800Length of feature in internal units.EsriPositive real numbers that are automatically generated.Shape_AreaShape_AreaDouble800Area of feature in internal units squared.EsriPositive real numbers that are automatically generated.This data set represents vectorized building footprints derived from classified LiDAR point data.Sonoma County Vegetation Mapping and LiDAR ProgramdatasetSimpleFALSE93948TRUEFALSE