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<Esri>
<CreaDate>20250211</CreaDate>
<CreaTime>10372900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20250211" Time="103729" ToolSource="e:\gis\software\arcgispro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateMosaicDataset">CreateMosaicDataset \\gis\gis\data\Raster\SD2017\SD2017_9inch.gdb SD2017_9inch PROJCS['NAD_1983_StatePlane_California_VI_FIPS_0406_Feet',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',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',-116.25],PARAMETER['Standard_Parallel_1',32.78333333333333],PARAMETER['Standard_Parallel_2',33.88333333333333],PARAMETER['Latitude_Of_Origin',32.16666666666666],UNIT['Foot_US',0.3048006096012192]] 3 "8-bit unsigned" None #</Process>
<Process Date="20250211" Time="123923" ToolSource="e:\gis\software\arcgispro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddRastersToMosaicDataset">AddRastersToMosaicDataset \\gis\gis\data\Raster\SD2017\SD2017_9inch.gdb\SD2017_9inch "Raster Dataset" \\Pbitswnas-02\imagery\SD2017\2017_Aerial_Imagery_9inch\GeoTiffs\9in_update UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS BUILD_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE ESTIMATE_STATISTICS # NO_PIXEL_CACHE C:\Users\ewe\AppData\Local\ESRI\rasterproxies\SD2017_9inch</Process>
<Process Date="20250212" Time="022409" ToolSource="e:\gis\software\arcgispro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\BuildPyramidsandStatistics">BuildPyramidsandStatistics \\gis\gis\data\Raster\SD2017\SD2017_9inch.gdb\SD2017_9inch INCLUDE_SUBDIRECTORIES BUILD_PYRAMIDS CALCULATE_STATISTICS NONE # NONE 1 1 # -1 NONE Bilinear Default 75 OVERWRITE # NONE</Process>
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<dataIdInfo>
<idAbs>The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.&lt;br /&gt;&lt;a href='https://gis.sandag.org/Metadata/SD2017_9inch/SANGIS_9in_Delivery_Grid_FGDC_Metadata.xml'&gt;SD2017_9inch Metadata&lt;/a&gt;</idAbs>
<searchKeys>
<keyword>San Diego</keyword>
<keyword>CA</keyword>
<keyword>2017</keyword>
<keyword>Digital Orthophotography</keyword>
</searchKeys>
<idPurp>Orthogonal image mosaic to support the needs of the San Diego regional aerial imagery consortium. Imagery acquired in spring 2017.</idPurp>
<idCredit>SANDAG &amp; SanGIS</idCredit>
<resConst>
<Consts>
<useLimit>Use of this data is constrained by the license agreements between Pictometry International and CA San Diego. The 2017 9 inch/pixel resolution imagery is available for use in the public domain.</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>SD2017_9inch</resTitle>
</idCitation>
</dataIdInfo>
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