<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220509</CreaDate>
<CreaTime>07564100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Oregon Wetlands 2019</resTitle>
</idCitation>
<idAbs>https://spatialdata.oregonexplorer.info/geoportal/details;id=51b33a5392404b8f83be5a36b5d25e72&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;https://www.oregon.gov/dsl/ww/pages/wetlandconservation.aspx&lt;br /&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>wetlands</keyword>
</searchKeys>
<idPurp>This data layer is an element of the Oregon GIS Framework. The Oregon Wetlands Database (2019) is a geodatabase consisting of three feature classes: 1) Local Wetland Inventory (LWI) Wetlands, 2) National Wetland Inventory (NWI) Wetlands, and 3) More Oregon Wetlands (MOW). Each feature class contains polygons representing wetland boundaries. The three feature classes originated from different sources with distinct purposes, methodologies and time frames for generating geospatial wetlands data, and there is overlap among them; however, all are relevant to the conservation and management of wetlands across the state of Oregon. See the metadata of the individual feature classes for more background information and details per dataset.</idPurp>
<idCredit>Oregon Biodiversity Information Center</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
