<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221216</CreaDate>
<CreaTime>16272500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BLM_WY_Surface_Management_Agency</resTitle>
</idCitation>
<searchKeys>
<keyword>Authorization</keyword>
<keyword>boundaries</keyword>
<keyword>Management</keyword>
<keyword>Primary Data</keyword>
<keyword>United States</keyword>
<keyword>Western States</keyword>
<keyword>Wyoming</keyword>
</searchKeys>
<idPurp>This dataset depicts surface management across the state of Wyoming. The purpose of this dataset is to fulfill the public and Government’s need to know Agency management of Federal land in a given area, and for use by BLM Staff for analysis and reporting. This dataset is a tool to determine and illustrate the boundaries of a particular Federal agency’s managing area and to quantify these areas in terms of geographic acreage within the BLM Administrative State of Wyoming.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P STYLE="font-size:16ptmargin:7 0 7 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Surface Management Agency (SMA) dataset depicts Federal land in the state of Wyoming and classifies this land by its active Federal surface managing agency within the BLM Administrative State of Wyoming. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. The GIS contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details. This dataset is intended to represent the ownership &amp;amp;amp; management information on Master Title Plats (MTPs).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Bureau of Land Management (BLM), Wyoming State Office</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P STYLE="font-size:16ptmargin:7 0 7 0;"&gt;&lt;SPAN&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;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
