<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260827</CreaDate>
<CreaTime>07532400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BLM_CO_Wilderness</resTitle>
</idCitation>
<searchKeys>
<keyword>BLM</keyword>
<keyword>boundaries</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Colorado</keyword>
<keyword>Department of the Interior</keyword>
<keyword>DOI</keyword>
<keyword>environment</keyword>
<keyword>Geospatial</keyword>
<keyword>National Conservation Lands</keyword>
<keyword>National Landscape Conservation System</keyword>
<keyword>NLCS</keyword>
<keyword>Recreation</keyword>
<keyword>Wilderness</keyword>
<keyword>Withdrawal</keyword>
</searchKeys>
<idPurp>This was created as part of the National BLM standard for the National Conservation Lands, illustrating BLM Wilderness Areas for the State of Colorado.</idPurp>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;This dataset depicts the BLM Wilderness Areas, a component of the National Conservation Lands (otherwise known as National Landscape Conservation System (NLCS) for the State of Colorado. The dataset can be used for small scale (1:24,000 and smaller) analysis, cartographic products, GIS display, spatial feature discovery, spatial relationships (Man Made or Natural). These data represent the polygon features that show the outside boundaries for the Wilderness Areas. These data support and assist in management decisions and planning. Please note other agency and/or private lands may exist within this outside boundary.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</idAbs>
<idCredit>BLM Colorado</idCredit>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;These data are provided by Bureau of Land Management (BLM) “as is” and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User’s intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
