Metro Long Range Planning Office 20051001 Title 13 Inventory The chief mapping data for the Metro Title 13 Resource Inventory adopted by the metro council in September of 2005. Combines Regionally Significant Riparian & Upland Wildife habitat, Habitats of Concern, and impact areas into one integrated layer. Based on Metro's GIS models for mapping riparian functions and wildlife values. The precursor for the Metro Title 13 Habitat Conservation Areas. To comply with title 13 local jurisdictions may have developed their own maps and programs. To create a framework for comparing ecological values to competing development values and to break landscape features into logical units for management. 200510 Ground condition Complete None planned -123.153528597 -122.367487422 45.70263875 45.23396470 None Title 13 Inventory riparian areas wildlife habitat habitat impact areas None Portland Multnomah County Washington County Clackamas County Oregon None This database and GIS data are made available under the Open Database License (ODbL v1) and Database Content License (DbCL v1). See http://www.oregonmetro.gov/rlis-live. http://library.oregonmetro.gov/rlisdiscovery/browse_graphic/title13_inventory.png Title 13 Inventory Classes PNG Registered to tax lots. Street center lines were digitized from aerial orthophotography at +/- 10 feet accuracy. Tax lots were fit to the street centerlines. Beaverton, Oregon City and Tigard planning areas were improved to +/- 5 feet accuracy. Multnomah County was created with coordinate geometry using better control. Added to RLISlive and RLIS database collections 20110120 Vector Simple FALSE 0 TRUE FALSE International foot D_North_American_1983_HARN title13_inventory.dbf Attributes for the Title 13 Inventory Resource Classes Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. ERCNAME Text Name for the Title 13 Inventory Resource Class NA ERCNAME String 50 0 0 SUM_Acres SUM_Acres Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Metro Data Resource Center
600 NE Grand Ave.
Portland OR 97232 503 797-1742 503 797-1909 drc@oregonmetro.gov The information in this file was derived from digital databases on Metro's GIS. Care was taken in the creation of this file. Metro cannot accept any responsibility for errors, omissions, or positional accuracy. There are no warranties, expressed or implied. Shapefile 47 DVD or CD-ROM ISO9660 http://www.oregonmetro.gov/rlisdiscovery Email drc@oregonmetro.gov or call 503-797-1742 for further instructions. No cost 20210701 Metro Data Resource Center Clint Chiavarini mailing and physical address
600 NE Grand Ave.
Portland OR 97232 503-797-1738 503 797-1909 clinton.chiavarini@oregonmetro.gov FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 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 Esri ArcGIS 12.9.0.32739 Title13_Riparian_I_II_UUA_Dis Title13_Riparian_I_II_UUA_Dis 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot (0.304800) NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl <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'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,8202099.737532808],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.5],PARAMETER[&quot;Standard_Parallel_1&quot;,44.33333333333334],PARAMETER[&quot;Standard_Parallel_2&quot;,46.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,43.66666666666666],UNIT[&quot;Foot&quot;,0.3048],AUTHORITY[&quot;EPSG&quot;,2913]]</WKT><XOrigin>-111333600</XOrigin><YOrigin>-98152500</YOrigin><XYScale>3048</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2913</WKID><LatestWKID>2913</LatestWKID></ProjectedCoordinateSystem> 20220328 14454700 20220328 14454700 File Geodatabase Feature Class dataset EPSG 6.3(9.0.0) 0 20220328