<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230813</CreaDate>
<CreaTime>19011900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">20230119_mosaic.jpg</itemName>
<itemLocation>
<linkage Sync="TRUE">file://I:\OCC1901\GIS\Image\Nearmap\20230119\20230119_mosaic.jpg</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">6117509.987122</westBL>
<eastBL Sync="TRUE">6123608.731822</eastBL>
<southBL Sync="TRUE">2258153.861980</southBL>
<northBL Sync="TRUE">2263492.926880</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">8</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">JPEG</CompressionType>
<NumBands Sync="TRUE">3</NumBands>
<Format Sync="TRUE">JFIF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">256</NoDataValue>
</General>
</RasterProperties>
<lineage>
<Process Date="20230813" Time="190152" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\MosaicToNewRaster">MosaicToNewRaster EPSG2230_Date20230119_Lat33.866833_Lon-117.709903_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.866779_Lon-117.695698_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.866761_Lon-117.705268_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.866726_Lon-117.700333_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.859919_Lon-117.696320_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.859723_Lon-117.705611_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.859688_Lon-117.700376_Mpp0.075.jpg;EPSG2230_Date20230119_Lat33.859634_Lon-117.710439_Mpp0.075.jpg I:\OCC1901\GIS\Image\Nearmap\20230119 20230119_mosaic.jpg # "8 bit unsigned" # 3 Last First</Process>
</lineage>
</DataProperties>
<SyncDate>20230813</SyncDate>
<SyncTime>19011900</SyncTime>
<ModDate>20230813</ModDate>
<ModTime>19011900</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 19044) ; Esri ArcGIS 13.1.2.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">20230119_mosaic_jpg</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>OCC1901</keyword>
<keyword>Mountain Park</keyword>
<keyword>Nearmap</keyword>
</searchKeys>
<idPurp>Nearmap imagery acquired 1/19/2023 at 7.5 cm resolution at Mountain Park Memorial Park (OCC1901)</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">6117509.987122 2258153.861980</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">6117509.987122 2263492.926880</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">6123608.731822 2263492.926880</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">6123608.731822 2258153.861980</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">6120559.359472 2260823.394430</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">24903</dimSize>
<dimResol>
<value Sync="TRUE">0.244900</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">21801</dimSize>
<dimResol>
<value Sync="TRUE">0.244900</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20230813</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
