<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250904</CreaDate>
<CreaTime>07470100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">usfs_lands_realty.usfs.USFS_EDW_PublicPrivateForestOwnership_CONUS</itemName>
<itemLocation>
<linkage Sync="TRUE">Server=iipp-arcgis-d-3.cmwoth4tqfhc.us-east-1.rds.amazonaws.com; Service=sde:postgresql:iipp-arcgis-d-3.cmwoth4tqfhc.us-east-1.rds.amazonaws.com; Database=usfs_lands_realty; User=usfs; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-14303401.039500</westBL>
<eastBL Sync="TRUE">-7206651.039500</eastBL>
<southBL Sync="TRUE">2562973.816500</southBL>
<northBL Sync="TRUE">6787223.816500</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType export="False"/>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/3.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">4</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">None</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">AMD</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE"/>
</General>
<Properties>
<MaxImageHeight Sync="TRUE">4100</MaxImageHeight>
<MaxImageWidth Sync="TRUE">15000</MaxImageWidth>
<MaxRecordCount Sync="TRUE">1000</MaxRecordCount>
<MaxDownloadImageCount Sync="TRUE">20</MaxDownloadImageCount>
<MaxDownloadSizeLimit Sync="TRUE">2048</MaxDownloadSizeLimit>
<MaxMosaicImageCount Sync="TRUE">20</MaxMosaicImageCount>
<DefaultCompressionQuality Sync="TRUE">75</DefaultCompressionQuality>
<DefaultCompressionTolerance Sync="TRUE">0.01</DefaultCompressionTolerance>
<BlendWidth Sync="TRUE">10</BlendWidth>
<ViewpointSpacingX Sync="TRUE">600</ViewpointSpacingX>
<ViewpointSpacingY Sync="TRUE">300</ViewpointSpacingY>
<AllowedItemMetadata Sync="TRUE">Basic</AllowedItemMetadata>
<DefaultResamplingMethod Sync="TRUE">1</DefaultResamplingMethod>
<AllowedMosaicMethods Sync="TRUE">NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None</AllowedMosaicMethods>
<AllowedCompressions Sync="TRUE">None,JPEG,LZ77,LERC</AllowedCompressions>
<AllowedMensurationCapabilities Sync="TRUE">Basic</AllowedMensurationCapabilities>
<AvailableMensurationCapabilities Sync="TRUE">None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D</AvailableMensurationCapabilities>
<ClipToBoundary Sync="TRUE">-1</ClipToBoundary>
<FootprintMayContainNoData Sync="TRUE">-1</FootprintMayContainNoData>
<CellSizeTolerance Sync="TRUE">0.8</CellSizeTolerance>
<MinimumPixelContribution Sync="TRUE">1</MinimumPixelContribution>
<AvailableMosaicMethods Sync="TRUE">NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None</AvailableMosaicMethods>
<AvailableCompressionMethods Sync="TRUE">None,JPEG,LZ77,LERC</AvailableCompressionMethods>
<AvailableItemMetadataLevels Sync="TRUE">None,Basic,Full</AvailableItemMetadataLevels>
<BandDefinitionKeyword Sync="TRUE">NONE</BandDefinitionKeyword>
<_docversion_ Sync="TRUE">10</_docversion_>
<AllowedFields Sync="TRUE">name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,st_area(shape),st_perimeter(shape)</AllowedFields>
<MaxCellSize Sync="TRUE">10240000</MaxCellSize>
<LowCellSize Sync="TRUE">250</LowCellSize>
<HighCellSize Sync="TRUE">1024000</HighCellSize>
</Properties>
<Functions Sync="TRUE">
<Function Description="Performs on-the-fly mosaic on a raster catalog." Name="Mosaic Function"/>
</Functions>
</RasterProperties>
</DataProperties>
<SyncDate>20250904</SyncDate>
<SyncTime>08291100</SyncTime>
<ModDate>20250904</ModDate>
<ModTime>8395500</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ISO19139</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>USFS_EDW_PublicPrivateForestOwnership_CONUS</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;This data product contains raster data depicting the spatial distribution of forest ownership types in the conterminous United States circa 2009. The data are a modeled representation of forest land by ownership type, and include three types of public ownership: federal, state, and local, as well as three types of private ownership: family (includes individuals and families), corporate, and other private (includes conservation and natural resource organizations, unincorporated partnerships and associations, and Native American tribal lands).&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;p&gt;&lt;span&gt;The data are designed for strategic analyses at a national or regional scale which require spatially explicit information regarding the extent, distribution, and prevalence of the ownership types represented. The data are not recommended for tactical analyses on a sub-regional scale, or for informing local management decisions. Furthermore, map accuracies vary considerably and thus the utility of these data can vary geographically under different ownership patterns.&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;/p&gt;</idAbs>
<searchKeys>
<keyword>USFS</keyword>
<keyword>EDW</keyword>
<keyword>Public</keyword>
<keyword>Private</keyword>
<keyword>Forest</keyword>
<keyword>Ownership</keyword>
<keyword>CONUS</keyword>
<keyword>Federal</keyword>
<keyword>State</keyword>
<keyword>Local</keyword>
<keyword>Family</keyword>
<keyword>Corporate</keyword>
</searchKeys>
<idPurp>This data product contains raster data depicting the spatial distribution of six forest ownership types in the conterminous United States circa 2009.</idPurp>
<envirDesc Sync="TRUE">Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.5.0.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-128.489638</westBL>
<eastBL Sync="TRUE">-64.738448</eastBL>
<northBL Sync="TRUE">51.928590</northBL>
<southBL Sync="TRUE">22.427866</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at https://creativecommons.org/public-domain/cc0/). &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: program.intake@usda.gov. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;USDA is an equal opportunity provider, employer, and lender. &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<idCredit>Funding for this project provided by USDA Forest Service, Northern Research Station (NRS), Forest Inventory &amp; Analysis as well as USDA Forest Service, State and Private Forestry Cooperative Forestry.</idCredit>
<themeKeys>
<keyword>Geospatial</keyword>
</themeKeys>
<tpCat>
<TopicCatCd value="003"/>
</tpCat>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
<tpCat>
<TopicCatCd value="010"/>
</tpCat>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">-14303401.039500 2562973.816500</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-14303401.039500 6787223.816500</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-7206651.039500 6787223.816500</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-7206651.039500 2562973.816500</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">-10755026.039500 4675098.816500</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">28387</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">250.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">16897</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">250.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">6.000000</maxVal>
<minVal Sync="TRUE">1.000000</minVal>
<bitsPerVal Sync="TRUE">4</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20250904</mdDateSt>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</mdMaint>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
