<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
  <mdLang>
    <countryCode value="USA"/>
    <languageCode value="eng"/>
  </mdLang>
  <mdChar>
    <CharSetCd value="005"/>
  </mdChar>
  <mdHrLv>
    <ScopeCd value="005"/>
  </mdHrLv>
  <mdHrLvName>dataset</mdHrLvName>
  <mdContact>
    <rpOrgName>Idaho Department of Water Resources</rpOrgName>
    <rpIndName>Geospatial Technology</rpIndName>
    <rpPosName>GIS Analyst</rpPosName>
    <rpCntInfo>
      <cntAddress addressType="physical">
        <delPoint>322 East Front Street</delPoint>
        <city>Boise</city>
        <adminArea>Idaho</adminArea>
        <postCode>83720</postCode>
        <eMailAdd>gisinfo@idwr.idaho.gov</eMailAdd>
      </cntAddress>
      <cntPhone>
        <voiceNum>(208) 287-4800</voiceNum>
        <faxNum>(208) 287-6700</faxNum>
      </cntPhone>
    </rpCntInfo>
    <role>
      <RoleCd value="007"/>
    </role>
  </mdContact>
  <mdDateSt>20130717</mdDateSt>
  <distInfo>
    <distributor>
      <distorTran>
        <onLineSrc>
          <orDesc>002</orDesc>
          <linkage>file://</linkage>
          <protocol>Local Area Network</protocol>
        </onLineSrc>
        <transSize>15.766</transSize>
      </distorTran>
      <distorFormat>
        <formatName>ESRI data format, dependent upon request</formatName>
        <formatVer>9.2</formatVer>
      </distorFormat>
      <distorCont>
        <rpOrgName>Idaho Department of Water Resources</rpOrgName>
        <rpIndName>Geospatial Technology</rpIndName>
        <rpPosName>GIS Analyst</rpPosName>
        <rpCntInfo>
          <cntAddress>
            <delPoint>322 East Front Street</delPoint>
            <city>Boise</city>
            <adminArea>Idaho</adminArea>
            <postCode>83720</postCode>
            <eMailAdd>gisinfo@idwr.idaho.gov</eMailAdd>
          </cntAddress>
          <cntPhone>
            <voiceNum>(208) 287-4800</voiceNum>
            <faxNum>(208) 287-6700</faxNum>
          </cntPhone>
        </rpCntInfo>
        <role>
          <RoleCd value="005"/>
        </role>
      </distorCont>
    </distributor>
    <distFormat>
      <formatName>File Geodatabase Feature Class</formatName>
    </distFormat>
  </distInfo>
  <dataIdInfo>
    <envirDesc>Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143</envirDesc>
    <dataLang>
      <countryCode value="USA"/>
      <languageCode value="eng"/>
    </dataLang>
    <idCitation>
      <resTitle>1976 Irrigated Lands for the Bear River</resTitle>
      <presForm>
        <PresFormCd value="005"/>
        <fgdcGeoform>vector digital data</fgdcGeoform>
      </presForm>
      <resRefDate>
        <refDateType>
          <DateTypCd value="001"/>
        </refDateType>
      </resRefDate>
      <date>
        <createDate>1976-05-01T00:00:00</createDate>
        <pubDate>2013-07-15T00:00:00</pubDate>
      </date>
      <citRespParty>
        <rpOrgName>Idaho Department of Water Resources</rpOrgName>
        <rpIndName>Geospatial Technology</rpIndName>
        <rpPosName>GIS Analyst</rpPosName>
        <rpCntInfo>
          <cntAddress addressType="physical">
            <delPoint>322 East Front Street</delPoint>
            <city>Boise</city>
            <adminArea>Idaho</adminArea>
            <postCode>83720</postCode>
            <eMailAdd>gisinfo@idwr.idaho.gov</eMailAdd>
          </cntAddress>
          <cntPhone>
            <voiceNum tddtty="">(208) 287-4800</voiceNum>
            <faxNum>(208) 287-6700</faxNum>
          </cntPhone>
        </rpCntInfo>
        <role>
          <RoleCd value="005"/>
        </role>
        <displayName>Geospatial Technology</displayName>
      </citRespParty>
      <citRespParty>
        <rpOrgName>Idaho Department of Water Resources</rpOrgName>
        <rpIndName>Geospatial Technology</rpIndName>
        <rpPosName>GIS Analyst</rpPosName>
        <rpCntInfo>
          <cntAddress addressType="physical">
            <delPoint>322 East Front Street</delPoint>
            <city>Boise</city>
            <adminArea>Idaho</adminArea>
            <postCode>83720</postCode>
            <eMailAdd>gisinfo@idwr.idaho.gov</eMailAdd>
          </cntAddress>
          <cntPhone>
            <voiceNum tddtty="">(208) 287-4800</voiceNum>
            <faxNum>(208) 287-6700</faxNum>
          </cntPhone>
        </rpCntInfo>
        <role>
          <RoleCd value="006"/>
        </role>
        <displayName>Geospatial Technology</displayName>
      </citRespParty>
    </idCitation>
    <spatRpType>
      <SpatRepTypCd value="001"/>
    </spatRpType>
    <geoBox esriExtentType="decdegrees">
      <westBL>-112.557988</westBL>
      <eastBL>-110.960722</eastBL>
      <northBL>42.864489</northBL>
      <southBL>41.972416</southBL>
      <exTypeCode>1</exTypeCode>
    </geoBox>
    <idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Land use and land cover developed for the Idaho portion of the Bear River Basin as part of the Bear River Compact. The Bear River Compact was established in 1958 to determine how Idaho, Utah, and Wyoming would distribute and use water from the Bear River. For more details see the following: Kramber, W.J., H. Anderson, M. Verdun, G. Austiguy, and B. Ondrechen, "Idaho's system for monitoring water use in the Bear River Basin", Geo Info Systems, May 1993, pp. 8-52.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
    <dataExt>
      <geoEle>
        <GeoBndBox esriExtentType="search">
          <exTypeCode>1</exTypeCode>
          <westBL>-112.557988</westBL>
          <eastBL>-110.960722</eastBL>
          <northBL>42.864489</northBL>
          <southBL>41.972416</southBL>
        </GeoBndBox>
      </geoEle>
      <geoEle>
        <GeoDesc>
          <exTypeCode>0</exTypeCode>
          <geoId>
            <identCode>102605</identCode>
          </geoId>
        </GeoDesc>
      </geoEle>
      <exDesc>Ground condition in 1976.</exDesc>
      <tempEle>
        <TempExtent>
          <exTemp>
            <TM_Period>
              <tmBegin>1976-05-01T00:00:00</tmBegin>
              <tmEnd>1976-10-31T00:00:00</tmEnd>
            </TM_Period>
          </exTemp>
        </TempExtent>
      </tempEle>
    </dataExt>
    <idPurp>For applications requiring land use and land cover data.</idPurp>
    <idCredit>William J. Kramber, Hal Anderson, and Michael Verdun of the Idaho Department of Water Resources. (1976/1992) Margie Wilkins, Michael Verdun, and Nick Van Dyke of the Idaho Department of Water Resources. (2009)</idCredit>
    <dataChar>
      <CharSetCd value="004"/>
    </dataChar>
    <resConst>
      <Consts>
        <useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;&lt;span&gt;The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site. Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained.&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;, &lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;See access and use constraints information.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
        <useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site. Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained.&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;, &lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;See access and use constraints information.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
      </Consts>
    </resConst>
    <suppInfo>Procedures Used for 1976/1992 determinations: 
1. USGS 1:24,000-scale orthophotoquads (OQs) used as base maps. 
2. 1976 1:120,000-scale color infrared (CIR) aerial photographs were used to develop the land use and land cover. 
3. Mylar overlays were taped to the OQs and land use and land cover polygons were drawn on the mylar while interpreting the 1:120,000-scale CIR aerial photographs. 
4. Land use changes between 1976 and 1990, for the Central Division, were interpreted from USDA ASCS 35mm color aerial slides collected the summer of 1990. These slides were projected onto the OQs and changes were drawn on the mylar overlays.
5. The land use and land cover interpretation was verified with the staff and/or directors of the USDA ASCS offices for Bear Lake, Franklin, Oneida, and Caribou counties. Plots were produced to verify the land use and land cover mapping both by the USDA ASCS field offices and by Idaho Department of Water Resources analysts. The district 11 watermaster also reviewed the maps. Areas of uncertainty were visited in the field. 
6. Land use and land cover boundaries were manually digitized from the mylar overlays. Preliminary maps were plotted and checked for accuracy. Edits were made and final plots were produced at 1:100,000-scale. 
7. Attributes for landuse: land_type description 
     1:water 
     2:wetlands/naturally subirrigated pasture and hay 
     3:irrigated cropland 
     4:nonirrigated cropland 
     5:urban 
     6:other 
</suppInfo>
    <resMaint>
      <maintFreq>
        <MaintFreqCd value="011"/>
      </maintFreq>
    </resMaint>
    <searchKeys>
      <keyword>Irrigation</keyword>
      <keyword>Bear River Compact</keyword>
      <keyword>Land Cover</keyword>
      <keyword>Idaho</keyword>
      <keyword>water use</keyword>
      <keyword>Bear River</keyword>
      <keyword>land use</keyword>
    </searchKeys>
    <idStatus>
      <ProgCd value="001"/>
    </idStatus>
  </dataIdInfo>
  <dqInfo>
    <dqScope>
      <scpLvl>
        <ScopeCd value="005"/>
      </scpLvl>
    </dqScope>
    <dataLineage>
      <prcStep>
        <stepDesc>STEP 1. USGS 1:24,000-scale orthophotoquads (OQs) used as base maps. 
</stepDesc>
      </prcStep>
      <prcStep>
        <stepDesc>STEP 2. 1976 1:120,000-scale color infrared (CIR) aerial photographs were used to develop the land use and land cover. 
</stepDesc>
      </prcStep>
      <prcStep>
        <stepDesc>STEP 3. Mylar overlays were taped to the OQs and land use and land cover polygons were drawn on the mylar while interpreting the 1:120,000-scale CIR aerial photographs. 
</stepDesc>
      </prcStep>
      <prcStep>
        <stepDesc>STEP 4. Land use changes between 1976 and 1990, for the Central Division, were interpreted from USDA ASCS 35mm color aerial slides collected the summer of 1990. These slides were projected onto the OQs and changes were drawn on the mylar overlays.
</stepDesc>
      </prcStep>
      <prcStep>
        <stepDesc>STEP 5. The land use and land cover interpretation was verified with the staff and/or directors of the USDA ASCS offices for Bear Lake, Franklin, Oneida, and Caribou counties. Plots were produced to verify the land use and land cover mapping both by the USDA ASCS field offices and by Idaho Department of Water Resources analysts. The district 11 watermaster also reviewed the maps. Areas of uncertainty were visited in the field. 

</stepDesc>
      </prcStep>
      <prcStep>
        <stepDesc>STEP 6. Land use and land cover boundaries were manually digitized from the mylar overlays. Preliminary maps were plotted and checked for accuracy. Edits were made and final plots were produced at 1:100,000-scale. 
</stepDesc>
      </prcStep>
      <prcStep>
        <stepDesc>STEP 7. Attributes for landuse: land_type description
1         water
2         wetlands/naturally subirrigated pasture and hay
3         irrigated cropland
4         nonirrigated cropland
5         urban
6         other
7         irrigated cropland 1990/nonirrigated cropland 1976
8         other 1990/nonirrigated cropland 1976

</stepDesc>
      </prcStep>
    </dataLineage>
  </dqInfo>
  <spatRepInfo>
    <VectSpatRep>
      <geometObjs Name="BRC_1976">
        <geoObjTyp>
          <GeoObjTypCd Sync="TRUE" value="002"/>
        </geoObjTyp>
        <geoObjCnt Sync="TRUE">2924</geoObjCnt>
      </geometObjs>
      <topLvl>
        <TopoLevCd Sync="TRUE" value="001"/>
      </topLvl>
    </VectSpatRep>
  </spatRepInfo>
  <refSysInfo>
    <RefSystem>
      <refSysID>
        <identCode>Custom</identCode>
        <idCodeSpace>ESRI</idCodeSpace>
        <idVersion>10.1.1</idVersion>
      </refSysID>
    </RefSystem>
  </refSysInfo>
  <eainfo>
    <detailed Name="BRC_1976">
      <enttyp>
        <enttypl>bear_lu_1976</enttypl>
        <enttypt Sync="TRUE">Feature Class</enttypt>
        <enttypc Sync="TRUE">2924</enttypc>
      </enttyp>
      <attr>
        <attrlabl>OBJECTID</attrlabl>
        <attrdef>Internal feature number.</attrdef>
        <attrdefs>ESRI</attrdefs>
        <attrdomv>
          <udom>Sequential unique whole numbers that are automatically generated.</udom>
        </attrdomv>
        <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>
      </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>LAND_TYPE</attrlabl>
        <attrdef>Numerical description of land cover in 1976.

1:water
2:meadow/wetland (naturally sub-irrigated pasture/hay, wet meadow &amp; marsh
3:irrigated cropland
4:non-irrigated cropland
5:urban
6:other</attrdef>
        <attrdefs>IDWR</attrdefs>
        <attalias Sync="TRUE">LAND_TYPE</attalias>
        <attrtype Sync="TRUE">SmallInteger</attrtype>
        <attwidth Sync="TRUE">2</attwidth>
        <atprecis Sync="TRUE">0</atprecis>
        <attscale Sync="TRUE">0</attscale>
      </attr>
      <attr>
        <attrlabl>ACRES</attrlabl>
        <attrdef>Polygon area in acres.</attrdef>
        <attrdefs>IDWR</attrdefs>
        <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>DESCRIPT</attrlabl>
        <attrdef>Text description of land cover in 1976.

WATER
open water, large ponds

MEADOW/WETLAND (NATURALLY SUB-IRRIGATED PASTURE/HAY, WET MEADOW &amp; MARSH)
meadow/wetland (naturally sub-irrigated pasture/hay, wet meadow &amp; marsh)

IRRIGATED CROPLAND
irrigated agriculture lands

NON-IRRIGATED CROPLAND
non-irrigated cropland; includes dryland agriculture

URBAN
homesteads, developed areas

OTHER
roads, right-of-way, rangeland, canals</attrdef>
        <attrdefs>IDWR</attrdefs>
        <attalias Sync="TRUE">DESCRIPT</attalias>
        <attrtype Sync="TRUE">String</attrtype>
        <attwidth Sync="TRUE">50</attwidth>
        <atprecis Sync="TRUE">0</atprecis>
        <attscale Sync="TRUE">0</attscale>
      </attr>
      <attr>
        <attrlabl>Shape_Length</attrlabl>
        <attrdef>Length of feature in internal units.</attrdef>
        <attrdefs>ESRI</attrdefs>
        <attrdomv>
          <udom>Positive real numbers that are automatically generated.</udom>
        </attrdomv>
        <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>
      </attr>
      <attr>
        <attrlabl>Shape_Area</attrlabl>
        <attrdef>Area of feature in internal units squared.</attrdef>
        <attrdefs>ESRI</attrdefs>
        <attrdomv>
          <udom>Positive real numbers that are automatically generated.</udom>
        </attrdomv>
        <attalias Sync="TRUE">Shape_Area</attalias>
        <attrtype Sync="TRUE">Double</attrtype>
        <attwidth Sync="TRUE">8</attwidth>
        <atprecis Sync="TRUE">0</atprecis>
        <attscale Sync="TRUE">0</attscale>
      </attr>
    </detailed>
  </eainfo>
  <spdoinfo>
    <ptvctinf>
      <esriterm Name="BRC_1976">
        <efeatyp Sync="TRUE">Simple</efeatyp>
        <efeageom Sync="TRUE" code="4"/>
        <esritopo Sync="TRUE">FALSE</esritopo>
        <efeacnt Sync="TRUE">2924</efeacnt>
        <spindex Sync="TRUE">TRUE</spindex>
        <linrefer Sync="TRUE">FALSE</linrefer>
      </esriterm>
    </ptvctinf>
  </spdoinfo>
  <Esri>
    <DataProperties>
      <itemProps>
        <itemName Sync="TRUE">BRC_1976</itemName>
        <imsContentType Sync="TRUE">002</imsContentType>
        <itemLocation>
          <linkage Sync="TRUE">file://\\dwrboifsvp03.dwrprod.idaho.gov\GISData\Spatial\LandCover_Vegetation\BearRiver\BearRiverCompact\BearRiverCompact_IrrigatedLands\IrrigatedLands.gdb</linkage>
          <protocol Sync="TRUE">Local Area Network</protocol>
        </itemLocation>
        <nativeExtBox>
          <westBL Sync="TRUE">2619420.664700</westBL>
          <eastBL Sync="TRUE">2748403.479900</eastBL>
          <southBL Sync="TRUE">1201285.647100</southBL>
          <northBL Sync="TRUE">1297026.980100</northBL>
          <exTypeCode Sync="TRUE">1</exTypeCode>
        </nativeExtBox>
      </itemProps>
      <coordRef>
        <type Sync="TRUE">Projected</type>
        <geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
        <csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
        <projcsn Sync="TRUE">NAD_1983_Idaho_TM</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/10.8'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_Idaho_TM&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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,2500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,1200000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-114.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,42.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,8826]]&lt;/WKT&gt;&lt;XOrigin&gt;-3120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-13447900&lt;/YOrigin&gt;&lt;XYScale&gt;10000&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;0.001&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;102605&lt;/WKID&gt;&lt;LatestWKID&gt;8826&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
      </coordRef>
      <lineage>
        <Process Date="20221101" Time="085035" ToolSource="c:\program files (x86)\arcgis\desktop10.6\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass "X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\Bear River Compact_2009_IDAHO.gdb\bear_lu_1976" X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\BearRiverCompact_IrrigatedLands\IrrigatedLands.gdb\BearRiverCompact BRC_1976 # "LAND_TYPE "LAND_TYPE" true true false 2 Short 0 0 ,First,#,X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\Bear River Compact_2009_IDAHO.gdb\bear_lu_1976,LAND_TYPE,-1,-1;ACRES "ACRES" true true false 8 Double 0 0 ,First,#,X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\Bear River Compact_2009_IDAHO.gdb\bear_lu_1976,ACRES,-1,-1;DESCRIPT "DESCRIPT" true true false 50 Text 0 0 ,First,#,X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\Bear River Compact_2009_IDAHO.gdb\bear_lu_1976,DESCRIPT,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\Bear River Compact_2009_IDAHO.gdb\bear_lu_1976,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,X:\Spatial\LandCover_Vegetation\BearRiver\BEAR_River_Compact\Bear River Compact_2009_IDAHO.gdb\bear_lu_1976,Shape_Area,-1,-1" #</Process>
      </lineage>
    </DataProperties>
    <SyncDate>20230308</SyncDate>
    <SyncTime>16073900</SyncTime>
    <ModDate>20230308</ModDate>
    <ModTime>16073900</ModTime>
  </Esri>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA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</Data>
    </Thumbnail>
  </Binary>
</metadata>
