<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20241105</CreaDate>
<CreaTime>10033500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Imagery_OldMaps_Sanborn_FireInsuranceMaps_Statesville_1918_AshevilleTOWestern</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">72.099218</westBL>
<eastBL Sync="TRUE">6375.624344</eastBL>
<southBL Sync="TRUE">-4171.450395</southBL>
<northBL Sync="TRUE">-30.899735</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
</DataProperties>
<SyncDate>20241125</SyncDate>
<SyncTime>13583700</SyncTime>
<ModDate>20241125</ModDate>
<ModTime>14154400</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Imagery_OldMaps_Sanborn_FireInsuranceMaps_Statesville_1918_AshevilleTOWestern</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="FALSE">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">4141</rowcount>
<colcount Sync="TRUE">6304</colcount>
<rastxsz Sync="TRUE">0.999925</rastxsz>
<rastysz Sync="TRUE">0.999891</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">3</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">SDR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">0.999925</absres>
<ordres Sync="TRUE">0.999891</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20241125</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
