20260924 13032600 1.0 lupa_poly lupa_lup_tbl_lupa_poly_rel Relationship lupa_poly_lupa_lup_tbl_rel Relationship -396158.524700 529520.661300 -607643.911400 451754.189100 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) <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'><WKT>PROJCS[&quot;NAD_1983_California_Teale_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,-4000000.0],PARAMETER[&quot;Central_Meridian&quot;,-120.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.0],PARAMETER[&quot;Standard_Parallel_2&quot;,40.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3310]]</WKT><XOrigin>-16909700</XOrigin><YOrigin>-8597000</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3310</WKID><LatestWKID>3310</LatestWKID></ProjectedCoordinateSystem> NAD_1983_California_Teale_Albers 20260924 14034600 20260924 14264800 FALSE 20000000 5000 dataset external a29b9527c7ffc7ca0a100282eeb33774e323baea U.S. Department of the Interior, Bureau of Land Management (BLM) BLM California State Office Publisher 2800 Cottage Way, W-1623 Sacramento CA 95825 BLM_CA_Web_SO_GIS@blm.gov US 916-978-4400 https://gbp-blm-egis.hub.arcgis.com/ Name: BLM California State Office Organization: Bureau of Land Management Position: Publisher Role: Publisher True Name: BLM California State Office Organization: U.S. Department of the Interior, Bureau of Land Management (BLM) Position: Publisher Role: Unknown 20260924 ArcGIS Metadata 1.0 Land Use Planning Area Boundary Polygons external f6fdbf47e73804428eede4b69505a08105370196 U.S. Department of the Interior, Bureau of Land Management (BLM) BLM California State Office State Data Administrator 2800 Cottage Way, W-1623 Sacramento CA 95825 BLM_CA_Web_SO_GIS@blm.gov US 916-978-4400 https://gbp-blm-egis.hub.arcgis.com/ Name: BLM California State Office Organization: Bureau of Land Management Position: Publisher Role: Publisher Name: BLM California State Office Organization: U.S. Department of the Interior, Bureau of Land Management (BLM) Position: Publisher Role: Unknown True Name: BLM California State Office Organization: U.S. Department of the Interior, Bureau of Land Management (BLM) Position: State Data Administrator Role: Unknown https://gbp-blm-egis.hub.arcgis.com/pages/california Enterprise Geodatabase Feature Class BLM-STATE California BLM-THEME Geospatial Management Vegetation NONE BLM Bureau of Land Management Land Use Planning United States Western States 1 -124.773912 -113.623241 42.084124 32.401076 BLM CA Land Use Planning Area Boundary Polygons 2019-10-01 U.S. Department of Interior, Bureau of Land Management (BLM) Bureau of Land Management publisher 2800 Cottage Way, W-1623 Sacramento CA 95825 BLM_CA_Web_SO_GIS@blm.gov US 916-978-4400 vector digital data This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming. U.S. Department of the Interior, Bureau of Land Management (BLM) Organization: This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The positional accuracy across this dataset varies according to the source. Role: Originator BLM California State Office State Data Administrator 2800 Cottage Way, W-1623 Sacramento CA 95825 BLM_CA_Web_SO_GIS@blm.gov US 916-978-4400 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This polygon feature class represents the spatial extent and boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are geographic areas within which the BLM will make decisions during a land use planning effort. Land Use Planning Area Boundaries shift from an "in-progress" status and become Existing Land Use Planning Areas when the Land Use Plan has been approved and a Record of Decision Date has been established. At this point, these LUPAs are officially "existing" and the previous plan is moved to a "historic" status.</SPAN></P></DIV></DIV></DIV> This feature class shows the boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Areas (LUPAs) polygons. U.S. Department of the Interior, Bureau of Land Management (BLM), California State Office BLM boundaries Bureau of Land Management California environment Geospatial Land Use Management Planning planningCadastre United States Vegetation Western States The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. These are data made available to the public and are considered public domain. These data contain no sensitive information which would be prevented from disclosure by Freedom of Information Act (FOIA), the Privacy Act or other laws. BLM BLM <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are provided by BLM "as is" and may 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 original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may 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 for 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 information may be updated without notification.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.5.8.57366 -124.773912 -113.623241 32.401076 42.084124 publication date 2019-10-01 A published revision of the Department Manual’s Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm). Each state office has a Data Steward or Contact Person for this data. Please contact the specific state office for additional information on their state dataset. external dd4e8328b02790cb20b19bc1266959d70912d741 BLM California State Office U.S. Department of the Interior, Bureau of Land Management (BLM) State Data Administrator 2800 Cottage Way, W-1623 Sacramento CA 95825 BLM_CA_Web_SO_GIS@blm.gov US 916-978-4400 True Name: BLM California State Office Organization: U.S. Department of the Interior, Bureau of Land Management (BLM) Position: State Data Administrator Role: Unknown Last metadata review date: 20150527 BLM BLM This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The completeness of this dataset reflects that of the source datasets. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The accuracy of attributes in this dataset reflects that of the source datasets. Attribute accuracy was tested by validating attribute coded values against accepted domain values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The positional accuracy across this dataset varies according to the source. This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data. H-1283-2 Data Administration and Management Handbook H-1283-2 Data Administration and Management Handbook 2014-12-05 Release 1-1762 http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf Using the implementation guidelines, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets. This process of data replication to the National Operations Center is intended to occur on a monthly basis. 2019-10-01 Spatial Data Coordinator BLM National Operations Center Spatial Data Coordinator (303)236-5445 (303)236-3508 Bldg. 50, Denver Federal Center Denver CO 80225 US scrowe@blm.gov 24 EPSG 6.8(9.2.0) BLM Land Use Planning Areas (LUPAs) Land Use Planning Areas are geographic areas within which the BLM will make decisions during a land use planning effort. Feature Class 24 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. LUPA_ID LUPA National Identifier String 10 0 0 Land Use Plan Area Identifier PA_LOCAL_ID Local Identifier String 20 0 0 Local Identifier LUP_ID LUP National Identifier String 10 0 0 Land Use Plan Area National Identifier LUPA_NM LUPA Name String 255 0 0 Land Use Plan Area Name ADMIN_ST Administrative State Code String 2 0 0 Administrative State Code LUP_STATUS LUP Status String 11 0 0 Land Use Planning Area Status BNDRY_INACT_DT LUP Boundary Inactive Date Date 8 0 0 Land Use Planning Area Boundary Inactive Date GIS_ACRES GIS Acres Double 8 38 8 GIS Acres GlobalID GlobalID GlobalID 38 0 0 GlobalID: Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication. It is not used as a unique identifier for relationships between feature classes/tables (Logical Attribute: None.) Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Shape.STArea() Shape.STArea() Double 0 0 0 Shape Area Shape.STLength() Shape.STLength() Double 0 0 0 Shape Length The datasets show the boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Areas. 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