<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220323</CreaDate>
<CreaTime>23590900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Ortofotomapa_1963</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-574004.000000</westBL>
<eastBL Sync="TRUE">-572648.000000</eastBL>
<southBL Sync="TRUE">-1281282.000000</southBL>
<northBL Sync="TRUE">-1280194.000000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\ORTOFOTO5-MCE\S\Projekty\BA_1963\Ortofotomapa.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<lineage>
<Process Date="20220427" Name="" Time="202852" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\Rename" export="">Rename F:\ortofoto\1963\Ortofotomapa.gdb\Ortofotomapa_1963 F:\ortofoto\1963\Ortofotomapa.gdb\orto_1963 RasterDataset</Process>
</lineage>
</DataProperties>
<SyncDate>20220323</SyncDate>
<SyncTime>23590900</SyncTime>
<ModDate>20220428</ModDate>
<ModTime>9274500</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>INSPIRE</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.0.6491</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Ortofoto 1963 časť centra</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<idPurp>Ortofoto 1963 nám. SNP a okolie</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN STYLE="font-size:12pt"&gt;Ortofoto 1963 nám. SNP a okolie&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Historická ortofotomapa 1963 © EUROSENSE s.r.o., SURVEYE s.r.o., Historické LMS 1963 © Topografický ústav Banská Bystrica</idCredit>
<searchKeys>
<keyword>ortofoto</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Použitie, zobrazovanie len pre účely Hlavného mesta Bratislava. Vlastníkom je EUROSENSE s.r.o.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">2176</rowcount>
<colcount Sync="TRUE">2712</colcount>
<rastxsz Sync="TRUE">0.500000</rastxsz>
<rastysz Sync="TRUE">0.500000</rastysz>
<rastbpp Sync="TRUE">8</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">1</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">0.500000</absres>
<ordres Sync="TRUE">0.500000</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20220428</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
