<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20170928</CreaDate>
<CreaTime>13552600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs>Digital orthophotography created from scanned 1"=1667' (1:20,000 scale) photos from year 1938. NARA (National Archives and Records Administration) provided the original photo scans. Scans were done at 15 micron resolution giving a 1-foot pixel ground resolution. To produce this dataset, individual 1938 photos were registered to common points on more recent orthophotos, draped over a digital terrain model, and rectified using bilinear resampling to 1-foot pixels. Horizontal accuracy of the 1938 orthophotography is approximately 20 feet. </idAbs>
<searchKeys>
<keyword>Air Photos</keyword>
</searchKeys>
<idPurp>Digital orthophotography created from scanned 1"=1667' (1:20,000 scale) photos from year 1938. Scans were done at 15 micron resolution giving a 1-foot pixel ground resolution.</idPurp>
<idCredit>Brown County WI</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Aerials_Summer1938</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
