<?xml version="1.0" encoding="UTF-8"?><metadata>
<Esri>
<CreaDate>20260507</CreaDate>
<CreaTime>13263800</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20220509</SyncDate>
<SyncTime>07475300</SyncTime>
<ModDate>20220509</ModDate>
<ModTime>07475300</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">III_More_Oregon_Wetlands</itemName>
<nativeExtBox>
<westBL Sync="TRUE">183871.742782</westBL>
<eastBL Sync="TRUE">2338857.705709</eastBL>
<southBL Sync="TRUE">89208.046180</southBL>
<northBL Sync="TRUE">1661038.909777</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<projcsn Sync="TRUE">NAD_1983_Oregon_Statewide_Lambert_Feet_Intl</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/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_Oregon_Statewide_Lambert_Feet_Intl&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1312335.958005249],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,43.0],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,45.5],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,41.75],UNIT[&amp;quot;Foot&amp;quot;,0.3048],AUTHORITY[&amp;quot;EPSG&amp;quot;,2992]]&lt;/WKT&gt;&lt;XOrigin&gt;-118489100&lt;/XOrigin&gt;&lt;YOrigin&gt;-97381100&lt;/YOrigin&gt;&lt;XYScale&gt;3048&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;0.0032808398950131233&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;2992&lt;/WKID&gt;&lt;LatestWKID&gt;2992&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<csUnits Sync="TRUE">Linear Unit: Foot (0.304800)</csUnits>
</coordRef>
</DataProperties>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>Oregon GIS Metadata</ArcGISstyle>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<history>
<log>
<item>
<changeset>0</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/3/2009 2:11:15 PM</date>
</item>
<item>
<changeset>1</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/3/2009 3:45:20 PM</date>
</item>
<item>
<changeset>2</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/3/2009 4:18:32 PM</date>
</item>
<item>
<changeset>3</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/3/2009 4:23:57 PM</date>
</item>
<item>
<changeset>4</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/3/2009 4:31:26 PM</date>
</item>
<item>
<changeset>5</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/3/2009 4:31:44 PM</date>
</item>
<item>
<changeset>6</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 8:41:40 AM</date>
</item>
<item>
<changeset>7</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 8:43:56 AM</date>
</item>
<item>
<changeset>8</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 9:04:35 AM</date>
</item>
<item>
<changeset>9</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 9:06:34 AM</date>
</item>
<item>
<changeset>10</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 9:06:51 AM</date>
</item>
<item>
<changeset>11</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 9:39:43 AM</date>
</item>
<item>
<changeset>12</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 10:03:16 AM</date>
</item>
<item>
<changeset>13</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 10:08:25 AM</date>
</item>
<item>
<changeset>14</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 10:14:12 AM</date>
</item>
<item>
<changeset>15</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 10:18:26 AM</date>
</item>
<item>
<changeset>16</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 11:06:52 AM</date>
</item>
<item>
<changeset>17</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 11:16:36 AM</date>
</item>
<item>
<changeset>18</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 11:42:51 AM</date>
</item>
<item>
<changeset>19</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 11:43:07 AM</date>
</item>
<item>
<changeset>20</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 12:53:26 PM</date>
</item>
<item>
<changeset>21</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 1:12:20 PM</date>
</item>
<item>
<changeset>22</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 1:16:08 PM</date>
</item>
<item>
<changeset>23</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 1:21:57 PM</date>
</item>
<item>
<changeset>24</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 2:54:00 PM</date>
</item>
<item>
<changeset>25</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 3:09:55 PM</date>
</item>
<item>
<changeset>26</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 3:35:52 PM</date>
</item>
<item>
<changeset>27</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 3:48:57 PM</date>
</item>
<item>
<changeset>28</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 3:55:46 PM</date>
</item>
<item>
<changeset>29</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 3:56:39 PM</date>
</item>
<item>
<changeset>30</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/4/2009 3:57:27 PM</date>
</item>
<item>
<changeset>31</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/7/2009 9:12:55 AM</date>
</item>
<item>
<changeset>32</changeset>
<changetype>Data</changetype>
<user>ORNHP\John.Bauer</user>
<date>12/7/2009 10:09:21 AM</date>
</item>
</log>
</history>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distTranOps>
<onLineSrc>
<linkage>http://spatialdata.oregonexplorer.info/Metadata/Thumbnails/Wetland_OR.gif</linkage>
</onLineSrc>
<onLineSrc>
<linkage>http://www.wetlandsconservancy.org/</linkage>
</onLineSrc>
<onLineSrc>
<linkage>http://oregonexplorer.info/ExternalContent/SpatialDataForDownload/Wetland_OR.zip</linkage>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">More Oregon Wetlands</resTitle>
<date>
<pubDate>2019-10-31T00:00:00</pubDate>
<createDate>2019-09-26T00:00:00</createDate>
</date>
<resEd>20091030</resEd>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<citRespParty>
<rpIndName>Eleanor Gaines, PhD</rpIndName>
<rpOrgName>Institute for Natural Resources, Portland and Oregon Biodiversity Information Center</rpOrgName>
<rpPosName>Director</rpPosName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>P.O. Box 751</delPoint>
<city>Portland</city>
<adminArea>OR</adminArea>
<postCode>97207</postCode>
<eMailAdd>egaines@pdx.edu</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">503-725-9952</voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>http://inr.oregonstate.edu</linkage>
</cntOnlineRes>
</rpCntInfo>
<displayName>Eleanor Gaines, PhD</displayName>
<role>
<RoleCd value="007"/>
</role>
</citRespParty>
<citRespParty>
<rpIndName>Kyla Zaret</rpIndName>
<rpOrgName>Oregon Biodiversity Information Center, Institute for Natural Resources, Portland</rpOrgName>
<rpPosName>Wetland Ecologist</rpPosName>
<displayName>Kyla Zaret</displayName>
<displayName>Kyla Zaret</displayName>
<displayName>Kyla Zaret</displayName>
<rpCntInfo>
<cntAddress addressType="">
<delPoint>P.O. Box 751</delPoint>
<city>Portland</city>
<adminArea>OR</adminArea>
<postCode>97207</postCode>
<eMailAdd>kzaret@pdx.edu</eMailAdd>
</cntAddress>
</rpCntInfo>
<displayName>Kyla Zaret</displayName>
<role>
<RoleCd value="007"/>
</role>
</citRespParty>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;More Oregon Wetlands (MOW) consists of an edited subset of records from the Oregon Wetlands Cover (2009), including those wetland polygons that were not part of a finalized National Wetlands Inventory project, nor generated as part of a Local Wetland Inventory (as indicated by attribute information in the Data_S_Year and Data_S_Type fields). Overlap between MOW polygons and NWI and LWI polygons may exist.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The MOW dataset includes mapping of individual wetland sites by a variety of federal, state, academic, and nonprofit sources. Because MOW is based on the NWI framework, it represents all wetland categories in the Cowardin classification (Federal Geographic Data Committee. 2013. Classification of wetlands and deepwater habitats of the United States. FGDC-STD-004-2013. Second Edition. Wetlands Subcommittee, Federal Geographic Data Committee and U.S. Fish and Wildlife Service, Washington, DC. &amp;lt;https://www.fgdc.gov/standards/projects/wetlands/nwcs-2013&amp;gt;) that are known to be present and mappable in Oregon. It includes perennially inundated "open water" aquatic habitats such as lacustrine limnetic, riverine (all subsystems), and marine and estuarine intertidal and subtidal. Man-made water features such as industrial detention ponds, log ponds, municipal sewage treatment lagoons, and flooded gravel pits are also included because they are often habitat for wetland biota. Portions of upland riparian areas may also be included where they are intermixed with riverine or palustrine wetlands and cannot be separated at the scale used in original mapping.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Metadata for the MOW feature dataset was imported from the Oregon Wetlands Cover (2009) and edited as needed.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>This feature class of the Oregon Wetlands Database (2019) contains wetlands data from sources other than those used to create the LWI and NWI feature classes.</idPurp>
<idCredit>Oregon Biodiversity Information Center, Institute for Natural Resources, Portland. 2019.</idCredit>
<idStatus>
<ProgCd value="004"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<graphOver>
<bgFileName>http://spatialdata.oregonexplorer.info/Metadata/Thumbnails/Wetland_OR.gif</bgFileName>
</graphOver>
<placeKeys>
<thesaName>
<resTitle>Oregon Metadata Keyword Thesaurus, Oregon Geospatial Enterprise Office (GEO)</resTitle>
</thesaName>
<keyword>Oregon</keyword>
</placeKeys>
<stratKeys>
<thesaName>
<resTitle>Oregon Metadata Keyword Thesaurus, Oregon Geospatial Enterprise Office (GEO)</resTitle>
</thesaName>
<keyword>Aquatic</keyword>
</stratKeys>
<tempKeys>
<thesaName>
<resTitle>Oregon Metadata Keyword Thesaurus, Oregon Geospatial Enterprise Office (GEO)</resTitle>
</thesaName>
</tempKeys>
<themeKeys>
<thesaName>
<resTitle>Oregon Metadata Keyword Thesaurus, Oregon Geospatial Enterprise Office (GEO)</resTitle>
</thesaName>
</themeKeys>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Category</resTitle>
</thesaName>
</themeKeys>
<searchKeys>
<keyword>Wetland</keyword>
<keyword>inland water</keyword>
<keyword>estuary</keyword>
<keyword>mudflat</keyword>
<keyword>aquatic habitat</keyword>
<keyword>fen</keyword>
<keyword>bog</keyword>
<keyword>peatland</keyword>
<keyword>marsh</keyword>
<keyword>swamp</keyword>
<keyword>meadow</keyword>
<keyword>dune wetland</keyword>
<keyword>playa</keyword>
<keyword>wet prairie</keyword>
<keyword>vernal pool</keyword>
<keyword>spring</keyword>
<keyword>open water</keyword>
<keyword>lake</keyword>
<keyword>pond</keyword>
<keyword>reservoir</keyword>
<keyword>lagoon</keyword>
<keyword>river</keyword>
<keyword>riparian area</keyword>
<keyword>Oregon</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>The MOW dataset is for planning purposes only. It does not map all wetlands or represent wetlands that are subject to Federal or State jurisdiction. It should not be used as a substitute for a wetland determination or delineation performed by a qualified wetland specialist. Many polygons were derived only from aerial photo interpretation and may or may not meet wetland criteria in the field. Per current Federal and Oregon Wetland Mapping Standards, the MOW dataset is "neither designed, nor intended, to support legal, regulatory, or jurisdictional analyses of wetland mapping products, nor does it attempt to differentiate between regulatory and non-regulatory wetlands." The MOW dataset also is not intended to be a hydrography dataset, and it should not be used to infer hydrologic connectivity, or lack thereof, between wetland polygons.</useLimit>
</LegConsts>
</resConst>
<resConst>
<SecConsts>
<class>
<ClasscationCd value="001"/>
</class>
<classSys>None</classSys>
<handDesc>None</handDesc>
</SecConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Credit to authors is requested.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<aggrInfo>
<aggrDSName>
<resTitle>Oregon Wetland Cover (2019)</resTitle>
<resEd>2019</resEd>
<citRespParty>
<rpOrgName>Institute for Natural Resources, Portland and Oregon Biodiversity Information Center</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<fgdcGeoform>map</fgdcGeoform>
</presForm>
<citOnlineRes>
<linkage>https://inr.oregonstate.edu/orbic</linkage>
</citOnlineRes>
</aggrDSName>
<assocType>
<AscTypeCd value="001"/>
</assocType>
</aggrInfo>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<dataExt>
<exDesc>1980-Current</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>1980-01-01</tmBegin>
<tmEnd date="now"/>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<suppInfo>The MOW feature class is an edited subset of the Oregon Wetlands Cover (2009), which was developed from several primary data sources and multiple secondary supplementary sources, some of which are described in more detail under the "Process Step" header in the "Data Quality Information" section of the metadata. Wetland data are limited to the legal border of Oregon, which includes a 3 mile offshore buffer. Abbreviations for data sources occasionally appear in attribute fields. They include: INR (Institute for Natural Resources), NRI (Natural Resources Inventory), ODOT (Oregon Department of Transportation), ODSL (Oregon Department of State Lands), ORNHIC (Oregon Natural Heritage Information Center, which is now ORBIC, Oregon Biodiversity Information Center), PHF (Pacific Northwest Hydrography Framework), PW (Potential Wetland), TNC (The Nature Conservancy), TWC (The Wetlands Conservancy), USFWS (US Fish and Wildlife Service), and USACE (US Army Corps of Engineers).</suppInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 12.9.0.32739</envirDesc>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-124.958731</westBL>
<eastBL Sync="TRUE">-116.443371</eastBL>
<northBL Sync="TRUE">46.306345</northBL>
<southBL Sync="TRUE">41.916505</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpIndName>Eleanor Gaines, PhD</rpIndName>
<rpOrgName>Institute for Natural Resources, Portland and Oregon Biodiversity Information Center</rpOrgName>
<rpPosName>Director</rpPosName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>P.O. Box 751</delPoint>
<city>Portland</city>
<adminArea>OR</adminArea>
<postCode>97207</postCode>
<eMailAdd>egaines@pdx.edu</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">503-725-9952</voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>http://inr.oregonstate.edu</linkage>
</cntOnlineRes>
</rpCntInfo>
<displayName>Eleanor Gaines, PhD</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
<tpCat>
<TopicCatCd value="012"/>
</tpCat>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQConcConsis"/>
<report dimension="" type="DQCompOm"/>
<report dimension="" type="DQQuanAttAcc">
<measDesc>Attribute accuracy varies, depending on source and attribute. Some percentage of polygons will have inaccurate Cowardin codes because of subsequent development, disturbance, or hydrological changes from the time of the initial classification. Incorrect Cowardin codes from all data sources were auto-corrected by TWC using a lookup table that identified, among other things, capitalization errors and obsolete terminology. SAC attributes for non-springs wetlands are estimated to be 95-98% accurate. LSW is defined only for areas within an inventory boundary. This includes LWIs and areas where a jurisdiction performed a Locally Significant Wetland designation for planning purposes. The use of "U" for several attributes indicates that we currently do not have information for the given polygon or that we have not yet processed the information. Vernal pool complexes are often represented as a single polygon, even though the wetland portion of a complex occupies only a portion of the polygon area. This is due in part to the difficulty in digitizing individual vernal pools which may be small or difficult to see in imagery. The Agate Desert area (Medford/White City) contains large areas of vernal pool and upland mosaics. Polygons for vernal pool complexes are typically given a "PEM" Cowardin classification, but the entire polygon should not be interpreted to be a wetland. Future revisions may better delineate individual vernal pools, or give vernal pool complexes a unique designation or classification. Per NWI convention, linear features are represented as polygons of 5.0 meter fixed with total. Most often, such linear features are R3: Riverine Upper Perennial and R4: Riverine Intermittent) Because most of these linear features are usually less than 5 meters in width, summaries of areas dominated by these features are likely to overestimate the actual area. Future revisions may attempt to tag such polygons, but will maintain the 5.0 meter fixed with geometry.</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>Horizontal accuracy varies, depending on source data. ODOT SRSAM linework was digitized at a 1:5000 scale. Recent linework that is digitized to imagery conforms to the FGDC Wetland Mapping Standard (FGDC-STD-015-2009, July 2009), with a minimum horizontal accuracy of 5 meters HA (16.6 feet) relative to the imagery. Note that wetland delineations derived solely from imagery may vary significantly with on-ground conditions, depending on season, year of imagery, and interpreter experience. While image-derived polygons may meet the 5 meter HA specification, actual wetland conditions may differ by distances much larger than the 5 meters. Wetland delineations derived solely from imagery may vary significantly with on-ground conditions, depending on season, year of imagery, and interpreter experience. Discontinuities due to digitization errors or deliberate breaks made by photointerpreters can be anticipated. Due to the varied history of wetland datasets included in the Oregon Wetlands coverage, wetland polygons may or may not overlap with networked hydrography datasets such as NHD (National Hydrography Dataset).</measDesc>
</report>
<report dimension="vertical" type="DQAbsExtPosAcc">
<measDesc>Per Federal (FGDC) and Oregon Wetland Mapping Standards (OWMS), vertical accuracy is not specified.</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>Integrate ODOT Highway wetland layer with Oregon Wetland Cover. ORNHIC (now ORBIC) and TWC integrated the ODOT wetland data with the Oregon Wetlands Cover (2009) to provide additional information about wetlands, because many polygons were not represented in the original base layer from NWI. INR and TWC assigned Cowardin codes to some of the polygons based on intersection with or proximity to existing NWI datasets, and structure evident in 2005 NAIP imagery.</stepDesc>
<stepDateTm>2008-20-09</stepDateTm>
<stepProc>
<rpIndName>John Bauer</rpIndName>
<rpOrgName>The Wetlands Conservancy</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
<stepSrc type="used">
<srcCitatn>
<resAltTitle>ODOT Highway Wetland Layer</resAltTitle>
</srcCitatn>
</stepSrc>
</prcStep>
<dataSource type="">
<srcDesc>Natural Resource Inventories (NRIs) or equivalent types of local wetland mapping identify many wetlands that have previously not been documented. They differ from Local Wetland Inventories (LWIs) because they have not been reviewed or approved by ODSL for consistency with standards and guidelines in Oregon Administrative Rules. However, they are usually more recent and of better quality than NWI data. Polygon attributes may vary among different NRIs, or polygons may simply indicate the presence of a wetland and have no additional attributes. Variation among NRIs is attributable to differences in jurisdiction, changes in inventory rules over time, and the discretionary practices or technical resources available to wetland consultants over time.</srcDesc>
<srcMedName>
<MedNameCd value="027"/>
</srcMedName>
<srcCitatn>
<resTitle>Natural Resource Inventories</resTitle>
<resAltTitle>NRI</resAltTitle>
<citRespParty>
<rpOrgName>Various cities, not approved by ODSL</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>Hydrogeomorphic (HGM) data for selected polygons from the Willamette Valley.</srcDesc>
<srcMedName>
<MedNameCd value="027"/>
</srcMedName>
<srcCitatn>
<resTitle>Hydrogeomorphic (HGM) data for Willamette Valley</resTitle>
<resAltTitle>HGM</resAltTitle>
<date>
<pubDate>2001-01-01</pubDate>
</date>
<citRespParty>
<rpOrgName>Adamus, P.R. &amp; D. Field. 2001. Guidebook for Hydrogeomorphic (HGM) - based Assessment of Oregon Wetland and Riparian Sites. I. Willamette Valley Ecoregion, Riverine Impounding and Slope/Flat Subclasses. Volume IA: Assessment Methods. Oregon Department of State Lands, Salem, OR;</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citOnlineRes>
<linkage>http://www.oregon.gov/DSL/WETLAND/hgm_guidebook.shtml</linkage>
</citOnlineRes>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>Springs data provide locations for sites of groundwater discharge that is critical for many wetlands, including many rare wetland types. ORNHIC (now ORBIC) and TWC integrated springs data with the Oregon Wetlands Cover (2009) to provide additional information about wetlands, as springs were not represented in the original base layer from NWI. Springs geodata were obtained from Oregon DOGAMI, USGS GNIS (Geographic Names Information System), NOAA Thermal Springs, and Pacific Hydrography Framework (PHF).</srcDesc>
<srcCitatn>
<resTitle>Springs Data</resTitle>
<resAltTitle>GNIS Springs</resAltTitle>
<date>
<pubDate date="now"/>
</date>
<citRespParty>
<rpOrgName>Pacific Northwest Hydrography Framework Clearinghouse (PHF)</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citOnlineRes>
<linkage>http://hydro.reo.gov (since June 2009, this site has been replaced by http://nhd.usgs.gov )</linkage>
</citOnlineRes>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>Starting in 1999, ODOT created a dataset representing wetlands within 500 feet of all State Highways. This work was done as part of ODOT's Salmon Resource and Sensitive Area Mapping project. Wetlands were first identified from digital orthophotography and existing NWI datasets, then field-verified. Polygons were not attributed and simply indicate the presence of a wetland. ORNHIC (now ORBIC) and TWC integrated the ODOT wetland data with the Oregon Wetlands Cover (2009) to provide additional information about wetlands, because many polygons in the ODOT layer were not represented in the original base layer from NWI.</srcDesc>
<srcCitatn>
<resTitle>ODOT Highway Wetland Layer</resTitle>
<resAltTitle>ODOT Highways</resAltTitle>
<citRespParty>
<rpOrgName>Oregon Department of Transportation (ODOT)</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>ORNHIC (now ORBIC) and TWC maintain a database of wetlands of conservation concern, including reference sites, high-quality examples of specific wetland types, and the only known remaining examples of certain wetland types. Data on these wetlands originated from field work, publications, and conservation plans made by individuals, public agencies, and private organizations over the last 50 years. These polygons may contain detailed information on plant associations not available from other sources.</srcDesc>
<srcCitatn>
<resTitle>Wetlands of Conservation Concern</resTitle>
<resAltTitle>ORNHIC &amp; TWC Wetlands</resAltTitle>
<date>
<pubDate date="now"/>
</date>
<resEd>various</resEd>
<citRespParty>
<rpOrgName>Oregon Natural Heritage Information Center (ORNHIC) &amp; The Wetlands Conservancy (TWC)</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<otherCitDet>Includes TWC's "Oregon's Greatest Wetlands"</otherCitDet>
</srcCitatn>
<srcExt>
<exDesc>1850-present</exDesc>
</srcExt>
</dataSource>
<statement>The MOW dataset represents a subset of the Oregon Wetland Cover (2009). As such, most of the work that went into generating the dataset was completed by John Bauer at TWC and John Christy at ORNHIC (now ORBIC). Likewise, the majority of the metadata was written by John Bauer and has been edited as needed with regard to the MOW feature class of the Oregon Wetland Database (2019).</statement>
<dataSource type="">
<srcDesc>The NWI was the base wetland polygon data layer for the Oregon Wetlands Cover (2009), to which other wetland data were added in order to build a comprehensive dataset from numerous sources. NWI geodata were obtained from the USFWS Master Wetlands Geodatabase. This included the linear (polyline) feature class and NWI metadata. See the Process Step pertaining to the NWI within the metadata of the Oregon Wetlands Cover (2009) for more information on how the base layer was created.</srcDesc>
</dataSource>
<dataSource type="">
<srcDesc>ORNHIC (now ORBIC) and TWC integrated Local Wetland Inventory (LWI) data with the Oregon Wetlands Cover (2009) to provide additional information about wetlands, because many polygons in LWIs were not represented in the original base layer from NWI.</srcDesc>
</dataSource>
<prcStep>
<stepDesc>Integrate data from local Natural Resource Inventories (NRIs) or equivalent with Oregon Wetlands Cover (2009). ORNHIC (now ORBIC) and TWC integrated NRI wetland data with the Oregon Wetlands Cover (2009) to provide additional information about wetlands, because many NRI polygons were not represented in the original NWI base layer or in other wetland mapping products. NRI data included in the Oregon Wetlands Cover (2009) superseded NWI data, and NWI polygons within boundaries of NRIs were modified or erased to prevent redundant representation. Discontinuities along boundaries between NWI and NRI polygons may be expected. Documentation on the sources of individual NRI spatial data, attribute availability, and limitations for each NRI are forthcoming.</stepDesc>
<stepDateTm>2009-01-01T00:00:00</stepDateTm>
<stepProc>
<rpIndName>John Bauer</rpIndName>
<rpOrgName>The Wetlands Conservancy</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
<stepSrc type="used">
<srcCitatn>
<resAltTitle>NRI</resAltTitle>
</srcCitatn>
</stepSrc>
</prcStep>
<prcStep>
<stepDesc>Integrate data on springs with Oregon Wetland Cover (2009). Data on springs was obtained from GNIS point data (carto_code = "Spring or seep") available from the Pacific Northwest Hydrography Framework Clearinghouse (http://nhd.usgs.gov). Point data for springs were buffered to a 2.5-meter-radius and burned on top of all other existing wetland polygons, to indicate sources of groundwater.</stepDesc>
<stepDateTm>2009-05-30T00:00:00</stepDateTm>
<stepProc>
<rpIndName>John Bauer</rpIndName>
<rpOrgName>The Wetlands Conservancy</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
<stepSrc type="used">
<srcCitatn>
<resAltTitle>Springs</resAltTitle>
</srcCitatn>
</stepSrc>
</prcStep>
<prcStep>
<stepDesc>Integrate hydrogeomorphic (HGM) data from the Willamette Valley with the Oregon Wetland Cover (2009). ORNHIC (now ORBIC) and TWC assigned HGM codes to selected wetland polygons per Adamus &amp; Field 2001 (See Source Information for HGM for full citation).</stepDesc>
<stepDateTm>2009-06-15T00:00:00</stepDateTm>
<stepProc>
<rpIndName>John Bauer</rpIndName>
<rpOrgName>The Wetlands Conservancy</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
<stepSrc type="used">
<srcCitatn>
<resAltTitle>HGM</resAltTitle>
</srcCitatn>
</stepSrc>
</prcStep>
<prcStep>
<stepDesc>Integrate data on wetlands of conservation concern with Oregon Wetland Cover (2009). ORNHIC (now ORBIC) and TWC integrated the INR and TWC wetland data with the Oregon Wetlands Cover (2009) to provide additional information about wetlands, because many polygons and/ or attributes were not represented in the original base layer from NWI. Many of these polygons are Special Areas of Concern (SACs).</stepDesc>
<stepDateTm>2009-10-15T00:00:00</stepDateTm>
<stepProc>
<rpIndName>John Bauer</rpIndName>
<rpOrgName>The Wetlands Conservancy</rpOrgName>
<rpPosName>GIS Analyst</rpPosName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
<stepSrc type="used">
<srcCitatn>
<resAltTitle>ORNHIC &amp; TWC Wetlands</resAltTitle>
</srcCitatn>
</stepSrc>
</prcStep>
<prcStep>
<stepDesc>Reduce the MOW dataset to only those wetlands records that do not correspond to NWI or LWI data. In 2008, during the process of creating the Oregon Wetlands Cover (2009), coverage for 96 quad maps was created by ORNHIC (now ORBIC) and TWC and was pending approval by NWI. (See the Process Step of the metadata for the Oregon Wetlands Cover [2009] for more details.) To generate the MOW dataset, records were deleted from the Oregon Wetlands Cover (2009) that overlapped with the centroids of the records in the most recent NWI download for Oregon (August 2019 from https://www.fws.gov/wetlands/Data/Data-Download.html) and within the project area, "Oregon_TWC_1to5". Wetland polygons mapped by ORNHIC and TWC but not integrated into the NWI have been retained. Other NWI polygons that had been integrated into the Oregon Wetlands Cover (2009), as well as LWI-generated wetland polygons, were identified and deleted based on attributes in the Data_S_Year and/or Data_S_Type fields.</stepDesc>
<stepDateTm>2019-09-19T00:00:00</stepDateTm>
<stepProc>
<rpIndName>Kyla Zaret</rpIndName>
<rpOrgName>Institute for Natural Resources, Portland and Oregon Biodiversity Information Center</rpOrgName>
<rpPosName>Wetland Ecologist</rpPosName>
<displayName>Kyla Zaret</displayName>
<displayName>Kyla Zaret</displayName>
<role>
<RoleCd value="009"/>
</role>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>kzaret@pdx.edu</eMailAdd>
</cntAddress>
</rpCntInfo>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<eainfo>
<detailed Name="III_More_Oregon_Wetlands">
<enttyp>
<enttypl Sync="FALSE">More_Oregon_Wetlands</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SITENAME</attrlabl>
<attrdef>Name of closest mapped locality.</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">SITENAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DATA_S_YR</attrlabl>
<attrdef>Source and year of original data</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">DATA_S_YR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CREAT_YR</attrlabl>
<attrdef>Creator and year of polygon if different than DATA_S_YR</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">CREAT_YR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DATA_METH</attrlabl>
<attrdef>Method of data creation</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">DATA_METH</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DATA_ACCU</attrlabl>
<attrdef>Accuracy of data, indicating the level of precision of a mapped feature</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">DATA_ACCU</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>COWARDIN</attrlabl>
<attrdef>Cowardin system, subsystem, class, subclass, water regime, and special modifiers where applicable, per FGDCWMS.</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">COWARDIN</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>COWAR_S_YR</attrlabl>
<attrdef>Source and year of Cowardin data if different than DATA_S_YR</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">COWAR_S_YR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>HGM</attrlabl>
<attrdef>Hydrogeomorphic (HGM) class and subclass code.</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">HGM</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>HGM_S_YR</attrlabl>
<attrdef>Source and year of HGM if different than DATA_S_YR</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">HGM_S_YR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>POLY_S_ID</attrlabl>
<attrdef>Wetland polygon ID in original data</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">POLY_S_ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>FIELD_OBS</attrlabl>
<attrdef>Field verified, onsite or offsite</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">FIELD_OBS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DATA_S_TYP</attrlabl>
<attrdef>Data source type</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">DATA_S_TYP</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>HYD_BAR</attrlabl>
<attrdef>Known or reported artificial hydrological barrier</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">HYD_BAR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>HYD_DRA</attrlabl>
<attrdef>Known or reported artificial drainage</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">HYD_DRA</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>HYD_FLO</attrlabl>
<attrdef>Known or reported unnatural inflow</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">HYD_FLO</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>WET_MGT</attrlabl>
<attrdef>Wetland management type, if known</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">WET_MGT</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>VEG_SPEC</attrlabl>
<attrdef>Dominant vegetation per original data source, in 6-letter acronym format</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">VEG_SPEC</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>VEG_COND</attrlabl>
<attrdef>General condition of vegetation</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">VEG_COND</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>VEG_S_YR</attrlabl>
<attrdef>Source and year of original vegetation data if different than DATA_S_YR</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">VEG_S_YR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>LSW</attrlabl>
<attrdef>Locally significant wetland, identified in a LWI. Not applicable outside the boundary of a LWI. Defined only for wetlands within the bounds of an LWI survey. Polygons corresponding to LWIs that have not yet been approved by DSL have been retained in the MOW dataset if they are not represented in one of the other feature datasets of the Oregon Wetlands Cover (2019).</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">LSW</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>COV_TYP</attrlabl>
<attrdef>Wetland cover type (Oregon name) and map code</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">COV_TYP</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GOAL_5_17</attrlabl>
<attrdef>Polygon is within a Goal 5 or Goal 16 area defined by a local jurisdiction</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">GOAL_5_17</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SAC</attrlabl>
<attrdef>Special Area of Concern (wetland of conservation concern)</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">SAC</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DEVELOP</attrlabl>
<attrdef>Development status of wetland</attrdef>
<attrdefs>Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009</attrdefs>
<attalias Sync="TRUE">DEVELOP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ORIG_FID</attrlabl>
<attalias Sync="TRUE">ORIG_FID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Acres</attrlabl>
<attalias Sync="TRUE">Acres</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE_area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
<overview>
<eaover>Attributes for the MOW dataset are coded as specified in the Oregon Wetland Mapping Standard (OWMS), Version 2.0 Draft, March 2009.</eaover>
</overview>
</eainfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2992"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.5(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="III_More_Oregon_Wetlands">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="III_More_Oregon_Wetlands">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdDateSt Sync="TRUE">20220509</mdDateSt>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</mdMaint>
<mdContact>
<rpIndName>Kyla Zaret</rpIndName>
<rpOrgName>Oregon Biodiversity Information Center, Institute for Natural Resources, Portland</rpOrgName>
<rpPosName>Wetland Ecologist</rpPosName>
<displayName>Kyla Zaret</displayName>
<displayName>Kyla Zaret</displayName>
<displayName>Kyla Zaret</displayName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>P.O. Box 751</delPoint>
<city>Portland</city>
<adminArea>OR</adminArea>
<postCode>97207</postCode>
<eMailAdd>kzaret@pdx.edu</eMailAdd>
</cntAddress>
</rpCntInfo>
<displayName>Kyla Zaret</displayName>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEASABIAAD/4QHCRXhpZgAATU0AKgAAAAgACAEPAAIAAAAGAAAAbgEQAAIA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</Data>
</Thumbnail>
</Binary>
</metadata>
