<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230718</CreaDate>
<CreaTime>10525800</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20210628</SyncDate>
<SyncTime>14454500</SyncTime>
<ModDate>20210628</ModDate>
<ModTime>14455300</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Lup_SignificantEnvironmentalConcernScenicWaterway</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">7725619.000000</westBL>
<eastBL Sync="TRUE">7749316.339567</eastBL>
<southBL Sync="TRUE">659337.114829</southBL>
<northBL Sync="TRUE">679469.500000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot (0.304800)</csUnits>
<projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_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/10.5'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983_HARN&amp;quot;,DATUM[&amp;quot;D_North_American_1983_HARN&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;,8202099.737532808],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;,44.33333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,46.0],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,43.66666666666666],UNIT[&amp;quot;Foot&amp;quot;,0.3048],AUTHORITY[&amp;quot;EPSG&amp;quot;,2913]]&lt;/WKT&gt;&lt;XOrigin&gt;-111333600&lt;/XOrigin&gt;&lt;YOrigin&gt;-98152500&lt;/YOrigin&gt;&lt;XYScale&gt;3048&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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;2913&lt;/WKID&gt;&lt;LatestWKID&gt;2913&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
<scaleRange>
<minScale>500000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<idinfo>
<native Sync="FALSE">ESRI ArcCatalog 9.3.1.3000</native>
<descript>
<langdata Sync="TRUE">en</langdata>
<abstract>REQUIRED: A brief narrative summary of the data set.</abstract>
<purpose>REQUIRED: A summary of the intentions with which the data set was developed.</purpose>
</descript>
<citation>
<citeinfo>
<origin>REQUIRED: The name of an organization or individual that developed the data set.</origin>
<pubdate>REQUIRED: The date when the data set is published or otherwise made available for release.</pubdate>
<title Sync="TRUE">SEC_SW2</title>
<ftname Sync="TRUE">SEC_SW2</ftname>
<geoform Sync="TRUE">vector digital data</geoform>
<onlink Sync="FALSE">withheld</onlink>
</citeinfo>
</citation>
<timeperd>
<current>REQUIRED: The basis on which the time period of content information is determined.</current>
<timeinfo>
<sngdate>
<caldate>REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.</caldate>
</sngdate>
</timeinfo>
</timeperd>
<status>
<progress>REQUIRED: The state of the data set.</progress>
<update>REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.</update>
</status>
<spdom>
<bounding>
<westbc Sync="TRUE">-122.932912</westbc>
<eastbc Sync="TRUE">-122.158230</eastbc>
<northbc Sync="TRUE">45.739237</northbc>
<southbc Sync="TRUE">45.427254</southbc>
</bounding>
<lboundng>
<leftbc Sync="TRUE">7580869.108877</leftbc>
<rightbc Sync="TRUE">7776514.248314</rightbc>
<bottombc Sync="TRUE">651169.026532</bottombc>
<topbc Sync="TRUE">760008.056659</topbc>
</lboundng>
</spdom>
<keywords>
<theme>
<themekt>REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.</themekt>
<themekey>REQUIRED: Common-use word or phrase used to describe the subject of the data set.</themekey>
</theme>
</keywords>
<accconst>REQUIRED: Restrictions and legal prerequisites for accessing the data set.</accconst>
<useconst>REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.</useconst>
<natvform Sync="TRUE">File Geodatabase Feature Class</natvform>
</idinfo>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Lup_SignificantEnvironmentalConcernScenicWaterway</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="native">
<westBL Sync="TRUE">7580869.108877</westBL>
<eastBL Sync="TRUE">7776514.248314</eastBL>
<northBL Sync="TRUE">760008.056659</northBL>
<southBL Sync="TRUE">651169.026532</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</GeoBndBox>
</geoEle>
</dataExt>
<geoBox esriExtentType="decdegrees">
<westBL Sync="TRUE">-122.932912</westBL>
<eastBL Sync="TRUE">-122.15823</eastBL>
<northBL Sync="TRUE">45.739237</northBL>
<southBL Sync="TRUE">45.427254</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</geoBox>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-122.359006</westBL>
<eastBL Sync="TRUE">-122.264865</eastBL>
<northBL Sync="TRUE">45.516818</northBL>
<southBL Sync="TRUE">45.460158</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>SEC-Scenic Waterway are land areas that are contained within the Sandy River Scenic Waterway</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;§ 39.5505 Zoning map adopted on September 6, 1977, Ord. 149.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Chapter 39 Multnomah County Zoning Code (&lt;/SPAN&gt;&lt;A href="https://multco.us/file/76252/download"&gt;&lt;SPAN&gt;https://multco.us/file/76252/download&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Multnomah County DCS - Land Use Planning</idCredit>
<searchKeys>
<keyword>United States</keyword>
<keyword>Oregon</keyword>
<keyword>Multnomah County</keyword>
<keyword>Department of Community Services</keyword>
<keyword>Land Use Planning</keyword>
<keyword>Significant Environmental Concern Scenic Waterway</keyword>
<keyword>SEC-sw</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This map is created from a subset of data from a Geographic Information System (GIS) database. Multnomah County makes no claims, representations, or warranties, express or implied, concerning the validity, reliability or accuracy of the GIS data and GIS data products furnished here, and each user of this data is responsible for determining its suitability for their intended purpose.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idStatus>
<ProgCd value="004"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
<tpCat>
<TopicCatCd value="012"/>
</tpCat>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
</dataIdInfo>
<metainfo>
<langmeta Sync="TRUE">en</langmeta>
<metstdn Sync="TRUE">FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv Sync="TRUE">FGDC-STD-001-1998</metstdv>
<mettc Sync="TRUE">local time</mettc>
<metc>
<cntinfo>
<cntorgp>
<cntper>REQUIRED: The person responsible for the metadata information.</cntper>
<cntorg>REQUIRED: The organization responsible for the metadata information.</cntorg>
</cntorgp>
<cntaddr>
<addrtype>REQUIRED: The mailing and/or physical address for the organization or individual.</addrtype>
<city>REQUIRED: The city of the address.</city>
<state>REQUIRED: The state or province of the address.</state>
<postal>REQUIRED: The ZIP or other postal code of the address.</postal>
</cntaddr>
<cntvoice>REQUIRED: The telephone number by which individuals can speak to the organization or individual.</cntvoice>
</cntinfo>
</metc>
<metd Sync="TRUE">20100623</metd>
</metainfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdStanName Sync="TRUE">ISO 19115 Geographic Information - Metadata</mdStanName>
<mdStanVer Sync="TRUE">DIS_ESRI1.0</mdStanVer>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<distinfo>
<resdesc Sync="TRUE">Downloadable Data</resdesc>
<stdorder>
<digform>
<digtinfo>
<transize Sync="TRUE">1.319</transize>
<dssize Sync="TRUE">1.319</dssize>
</digtinfo>
</digform>
</stdorder>
</distinfo>
<distInfo>
<distributor>
<distorTran>
<onLineSrc>
<orDesc Sync="TRUE">002</orDesc>
<linkage Sync="FALSE">withheld</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</onLineSrc>
<transSize Sync="TRUE">1.319</transSize>
</distorTran>
<distorFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distorFormat>
</distributor>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<spdoinfo>
<direct Sync="TRUE">Vector</direct>
<ptvctinf>
<esriterm Name="Lup_SignificantEnvironmentalConcernScenicWaterway">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">6</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<cordsysn>
<geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
<projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601</projcsn>
</cordsysn>
<planar>
<planci>
<plance Sync="TRUE">coordinate pair</plance>
<plandu Sync="TRUE">international feet</plandu>
<coordrep>
<absres Sync="TRUE">0.000328</absres>
<ordres Sync="TRUE">0.000328</ordres>
</coordrep>
</planci>
</planar>
<geodetic>
<horizdn Sync="TRUE">D_North_American_1983_HARN</horizdn>
<ellips Sync="TRUE">Geodetic Reference System 80</ellips>
<semiaxis Sync="TRUE">6378137.000000</semiaxis>
<denflat Sync="TRUE">298.257222</denflat>
</geodetic>
</horizsys>
</spref>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2913">NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.13(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Lup_SignificantEnvironmentalConcernScenicWaterway">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">6</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="Lup_SignificantEnvironmentalConcernScenicWaterway">
<enttyp>
<enttypl Sync="FALSE">Lup_SignificantEnvironmentalConcernScenicWaterway</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">6</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">10</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 Sync="TRUE">Name</attrlabl>
<attalias Sync="TRUE">Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20210628</mdDateSt>
<dataqual>
<lineage>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100621</procdate>
<proctime Sync="TRUE">16491800</proctime>
</procstep>
</lineage>
</dataqual>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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==</Data>
</Thumbnail>
</Binary>
<mdConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This is for informational or reference purposes only and may not have been prepared for legal, engineering, or surveying purposes. Users of this information should consult the county to ascertain the usability of the information.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</mdConst>
<mdContact>
<rpIndName>DCS GIS - Asset Management</rpIndName>
<rpOrgName>Multnomah County Department of Community Services</rpOrgName>
<role>
<RoleCd value="010"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>1620 SE 190th Ave</delPoint>
<city>Portland</city>
<adminArea>OR</adminArea>
<postCode>97233</postCode>
<eMailAdd>dcsgis@multco.us</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">503-988-5050</voiceNum>
</cntPhone>
</rpCntInfo>
</mdContact>
</metadata>
