20260529 18280400 1.0 FALSE StreamBuffers 002 0.000 https://www.arcgis.com/sharing/rest/content/items/635e9d973475478c8112769075a6e19c/info/thumbnail/ago_downloaded.png Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Washington_North_FIPS_4601_Feet <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/3.6.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Washington_North_FIPS_4601_Feet&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;,1640416.666666667],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.8333333333333],PARAMETER[&quot;Standard_Parallel_1&quot;,47.5],PARAMETER[&quot;Standard_Parallel_2&quot;,48.73333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,47.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2926]]</WKT><XOrigin>-117104300</XOrigin><YOrigin>-99539600</YOrigin><XYScale>37926742.22403606</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2926</WKID><LatestWKID>2926</LatestWKID></ProjectedCoordinateSystem> 20260529 18280400 20260529 18280400 Esri ArcGIS 13.6.0.59527 StreamBuffers Shapefile 0.000 dataset EPSG 6.3(9.0.0) 0 Simple FALSE 0 FALSE FALSE StreamBuffers Feature Class 0 FID FID 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. fid_1 fid_1 Double 19 19 0 OBJECTID OBJECTID Double 19 19 0 WC_ID WC_ID Integer 10 10 0 WC_LLID_NR WC_LLID_NR Double 19 18 15 WC_LN_TYPE WC_LN_TYPE Integer 10 10 0 WC_LN_TY_1 WC_LN_TY_1 String 12 0 0 WC_CART_FT WC_CART_FT Integer 10 10 0 WC_CART__1 WC_CART__1 String 12 0 0 WC_HYDR_FT WC_HYDR_FT String 2 0 0 WC_HYDR__1 WC_HYDR__1 String 12 0 0 WC_FLOW_PA WC_FLOW_PA Integer 10 10 0 WC_FLOW__1 WC_FLOW__1 String 12 0 0 WC_CONTU_C WC_CONTU_C String 3 0 0 WC_CONTU_L WC_CONTU_L String 12 0 0 WC_PERIOD_ WC_PERIOD_ String 3 0 0 WC_PERIO_1 WC_PERIO_1 String 12 0 0 WC_GNIS_NM WC_GNIS_NM String 50 0 0 WC_GNIS_NR WC_GNIS_NR Integer 10 10 0 FP_REF_ID FP_REF_ID String 10 0 0 FP_WTRTY_C FP_WTRTY_C String 1 0 0 FP_WTRTY_N FP_WTRTY_N String 50 0 0 FP_EXP_CD FP_EXP_CD String 2 0 0 FP_WTRTY_E FP_WTRTY_E String 24 0 0 FP_PERIOD_ FP_PERIOD_ String 1 0 0 FP_PERIO_1 FP_PERIO_1 String 12 0 0 FP_VER_CD FP_VER_CD String 1 0 0 FP_VER_LAB FP_VER_LAB String 12 0 0 FP_WTRTY_A FP_WTRTY_A String 24 0 0 FP_WTRTY_1 FP_WTRTY_1 Integer 10 10 0 FP_WTRTY_2 FP_WTRTY_2 String 24 0 0 FTR_MOD_CD FTR_MOD_CD String 3 0 0 FTR_MOD_LA FTR_MOD_LA String 12 0 0 FTR_INPUT_ FTR_INPUT_ Integer 10 10 0 FTR_INPU_1 FTR_INPU_1 String 12 0 0 FTR_INTRP_ FTR_INTRP_ Integer 10 10 0 FTR_INTR_1 FTR_INTR_1 String 12 0 0 FTR_SRC_CD FTR_SRC_CD Integer 10 10 0 FTR_SRC_LA FTR_SRC_LA String 12 0 0 FTR_SRC_DT FTR_SRC_DT String 24 0 0 FTR_ORG_CD FTR_ORG_CD String 12 0 0 FTR_SRCSCA FTR_SRCSCA Integer 10 10 0 SL_WTRTY_L SL_WTRTY_L String 12 0 0 DNR_OUTPUT DNR_OUTPUT Integer 10 10 0 PDF_LOCATI PDF_LOCATI String 134 0 0 FP_WTRTY_S FP_WTRTY_S String 8 0 0 EDIT_DT EDIT_DT String 24 0 0 WC_SUBTYPE WC_SUBTYPE Integer 10 10 0 WC_SUBTY_1 WC_SUBTY_1 String 12 0 0 Shape_Leng Shape_Leng Double 19 18 15 20260529 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