20180814 15493700 1.0 RGDW_Publication_1.4 FALSE SD_Merged_DEM.img 002 6150079.999876 6614999.999876 1761209.999931 2129999.999931 1 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_California_VI_FIPS_0406_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/10.6'><WKT>PROJCS[&quot;NAD_1983_2011_StatePlane_California_VI_FIPS_0406_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;,-116.25],PARAMETER[&quot;Standard_Parallel_1&quot;,32.78333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,33.88333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,32.16666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192]],VERTCS[&quot;NAVD_1988_Foot_US&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192]]</WKT><XOrigin>-118608900</XOrigin><YOrigin>-91259500</YOrigin><XYScale>35979706.307677768</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>103008</WKID><LatestWKID>6426</LatestWKID><VCSWKID>105703</VCSWKID><LatestVCSWKID>6360</LatestVCSWKID></ProjectedCoordinateSystem> 32 FALSE None 1 IMAGINE Image TRUE continuous floating point -3.4028235e+38 20180815 15240800 20181102 15542300 150000000 5000 RGDW_Publication Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321 SD_Merged_DEM.img 2018-07-06T00:00:00 2018-08-15T00:00:00 1 -117.600239 -116.075027 33.512213 32.491404 San Diego County Merged Digital Elevation Model (DEM) data derived from Quality Level 2 LiDAR (USGS Base Specification) acquired through the San Diego regional partnership... <div style='text-align:Left;'><div><div><p><span>&lt;br&gt;</span></p><p><span>Merged Digital Elevation Model (DEM) data derived from Quality Level 2 LiDAR (USGS Base Specification) LiDAR acquired through the San Diego regional partnership acquisition projects in 2014 and 2016/2017, and the FEMA acquisition project in 2015. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create 2.5-foot hydro-flattened raster DEMs from which contour lines were generated.Geographic Extent:San Diego County in southwestern California, covering approximately 4,475 total square miles.&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>Dataset Descriptions:&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>2014:&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>The San Diego, California 2014 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of NAD83, State Plane California VI, Survey Feet and vertical datum of NAVD1988 (GEOID12A), Survey Feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1565 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in late 2014 and early 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 88 QA calibration control points and 80 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the San Diego, California project area.&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>2015:&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>The San Diego, California 2015 QL2 LiDAR project called for the planning and acquisition of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) State Plane California VI, US survey feet and vertical datum of NAVD1988 (GEOID12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 2,045 individual 2,500-foot x 2,500-foot tiles, corresponding 2.5-ft hydro-flattened bare-earth DEMs tiled to the same 2,500-foot x 2,500-foot schema in ERDAS .IMG format, and Breaklines in Esri file geodatabase format. Ground Conditions: LiDAR was collected in late 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established 39 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the project area. The accuracy of the data was checked with 119 QC points.&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>2017:&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>The Eastern San Diego County, California 2017 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane California Zone VI, US survey feet and vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 1,710 individual 5,000-foot x 5,000-foot pilot tiles; as tiled intensity imagery, and as tiled bare earth DEMs, all tiled to the same schema. Continuous breaklines were produced in Esri file geodatabase format. Building footprints were produced in Esri file geodatabase format. Tiled contours with a 2-foot interval were produced in Esri file geodatabase format. Ground Conditions: Lidar was partially collected in fall/winter of late 2016/early 2017, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. established a total of 28 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 116 independent accuracy checkpoints, 64 in Bare Earth and Urban landcovers (64 NVA points), 52 in the Forest, Shrubs, and Tall Weeds category (52 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>Special Considerations:&lt;br&gt;</span></p><p><span>&lt;br&gt;</span></p><p><span>The data covering the Borrego Valley and surrounding area (Min X: 6499999.9998755, Min Y: 2014999.99983956, Max X: 6559999.999954, Max Y: 2084999.99993114) was developed by processing the swath LiDAR data from the 2017 Eastern San Diego County project, and merging with the 2015 Borrego Valley LiDAR data to create a new DEM. This was necessary to fill in the gap areas between the two acquisition projects. The four DEM datasets were then merged in the following order: Borrego Valley DEM --&gt; 2017 Eastern San Diego DEM --&gt; FEMA 2015 Central San Diego DEM --&gt; 2014 Western San Diego DEM.SANDAG has determined that this merged regionwide DEM is adequate for cartographic purposes. For analysis purposes, users may elect to use the original source data from each project. Refer to the metadata for each acquisition project for additional details.</span></p><p><span /></p><p><span /></p></div></div></div> San Diego DEM Elevation LiDAR SANDAG SANDAG, FEMA, County of San Diego Pat Landrum SANDAG 401 B Street, Suite 800 San Diego, CA 92101 Manager of Data Solutions <div style='text-align:Left;'><div><div><p><span>Data Disclaimer:While the data have been tested for accuracy and are properly functioning, SANDAG disclaims any responsibility for the accuracy or correctness of the data.THE FOREGOING WARRANTY IS EXCLUSIVE AND IN LIEU OF ALL OTHER WARRANTIES OR MERCHANTABILITY, FITNESS FOR PARTICULAR PURPOSE AND/OR ANY OTHER TYPE WHETHER EXPRESSED OR IMPLIED.In no event shall SANDAG become liable to users of these data, or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation or modification of the data. In using these data, users further agree to indemnify, defend, and hold harmless SANDAG for any and all liability of any nature arising out of or resulting from the lack of accuracy or correctness of the data, or the use of the data.To assist SANDAG in the maintenance of the data, users should provide SANDAG, at the address shown below, information concerning errors or discrepancies found in using the data.SANDAGAttn: GIS Project Manager401 "B" Street, Suite 800San Diego, CA 92101gismaster@sandag.orgIn using the data, users should be aware that these data are generalized and not parcel based, and were created for use in regional planning projects.Please acknowledge SANDAG as a source when SANDAG data are used in the preparation of reports, papers, publications, maps, and other products.To ensure that appropriate documentation and data limitations are provided, these databases should not be redistributed to any other parties.</span></p></div></div></div> Raster Dataset Pat Landrum SANDAG 401 B Street, Suite 800 San Diego, CA 92101 Manager of Data Solutions False Pat Landrum dataset EPSG 8.9.3(10.3.1) 2 1 0 6150079.999876 1761209.999931 6150079.999876 2129999.999931 6614999.999876 2129999.999931 6614999.999876 1761209.999931 6382539.999876 1945604.999931 185968 2.500000 147516 2.500000 Layer_1 6518.713867 -10.070775 32 20181102 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