<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230518</CreaDate>
<CreaTime>16165000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Orthomosaic.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://C:\Users\karen.clark\AppData\Local\Temp\Drone2MapTemp42628\t_1913649021\Orthomosaic.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">285609.496996</westBL>
<eastBL Sync="TRUE">286641.377783</eastBL>
<southBL Sync="TRUE">3363312.790323</southBL>
<northBL Sync="TRUE">3364197.259569</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_UTM_Zone_16N</projcsn>
<peXml Sync="TRUE">&lt;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/3.1.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_16N&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-87.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,32616]],VERTCS[&amp;quot;EGM96_Geoid&amp;quot;,VDATUM[&amp;quot;EGM96_Geoid&amp;quot;],PARAMETER[&amp;quot;Vertical_Shift&amp;quot;,0.0],PARAMETER[&amp;quot;Direction&amp;quot;,1.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,5773]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;32616&lt;/WKID&gt;&lt;LatestWKID&gt;32616&lt;/LatestWKID&gt;&lt;VCSWKID&gt;5773&lt;/VCSWKID&gt;&lt;LatestVCSWKID&gt;5773&lt;/LatestVCSWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">8</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">3</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">0</NoDataValue>
</General>
</RasterProperties>
<lineage>
<Process Date="20230518" Time="161654" ToolSource="c:\program files\arcgis\drone2map\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\SetRasterProperties">SetRasterProperties C:\Users\karen.clark\AppData\Local\Temp\Drone2MapTemp42628\t_1913649021\Orthomosaic.tif Generic # # # "Band_1 Red;Band_2 Green;Band_3 Blue" #</Process>
</lineage>
</DataProperties>
<SyncDate>20230518</SyncDate>
<SyncTime>16165000</SyncTime>
<ModDate>20230518</ModDate>
<ModTime>16165000</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.1.0.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">BellsFerry20230518</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-89.231386</westBL>
<eastBL Sync="TRUE">-89.220472</eastBL>
<northBL Sync="TRUE">30.390930</northBL>
<southBL Sync="TRUE">30.382772</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>Coastal Preserves</keyword>
</searchKeys>
<idPurp>UAS RGB Imagery of Bells Ferry flown May, 18, 2023</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>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="32616"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">9.8.8(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<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">285609.496996 3363312.790323</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">285609.496996 3364197.259569</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">286641.377783 3364197.259569</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">286641.377783 3363312.790323</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">286125.437390 3363755.024946</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">42000</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">0.024569</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">36000</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">0.024569</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>
<maxVal Sync="TRUE">254.000000</maxVal>
<minVal Sync="TRUE">1.000000</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<maxVal Sync="TRUE">254.000000</maxVal>
<minVal Sync="TRUE">1.000000</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<maxVal Sync="TRUE">254.000000</maxVal>
<minVal Sync="TRUE">1.000000</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20230518</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
</Thumbnail>
</Binary>
</metadata>
