gra_allot_poly
221900.469500
680627.213000
4088864.569000
4653566.493000
1
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_12N
<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/3.1.0'><WKT>PROJCS["NAD_1983_UTM_Zone_12N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26912]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>26912</WKID><LatestWKID>26912</LatestWKID></ProjectedCoordinateSystem>
20231108
13324600
20240723
8273600
20230531
13422300
1.0
FALSE
150000000
5000
dataset
Richard Warnick
Bureau of Land Management (BLM) Utah State Office
GIS Specialist
440 West 200 South, Suite 500
Salt Lake City
UT
84101
rwarnick@blm.gov
US
801-539-4153
Name: Richard Warnick
Organization: Bureau of Land Management (BLM) Utah State Office
Position: GIS Specialist
Role: Unknown
20240712
ArcGIS Metadata
1.0
Richard Warnick
Bureau of Land Management (BLM) Utah State Office
GIS Specialist
440 West 200 South, Suite 500
Salt Lake City
UT
84101
rwarnick@blm.gov
US
801-539-4153
Name: Richard Warnick
Organization: Bureau of Land Management (BLM) Utah State Office
Position: GIS Specialist
Role: Unknown
2024-07-12T00:00:00
https://gbp-blm-egis.hub.arcgis.com/pages/utah
Enterprise Geodatabase Feature Class
BLM-STATE
Utah
BLM-THEME
Authorization
Geospatial
Management
Range
NONE
UT
NONE
BLM
Grazing
Lands
Pasture
NONE
2024
BLM UT Grazing Allotment Polygons
20240712
U.S. Department of the Interior, Bureau of Land Management (BLM), Utah State Office
440 West 200 South, Suite 500
Salt Lake City
UT
84101
US
Bureau of Land Management
440 West 200 South, Suite 500
Salt Lake City
UT
84101
US
vector digital data
This polygon feature class represents the spatial extent and boundaries for BLM Grazing Allotments in Utah.
Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.
The purpose of this polygon feature class is to show BLM Grazing Allotments, which are areas of land designated and managed for grazing livestock. It may include private, state, and public lands under the jurisdiction of the Bureau of Land Management and/or other federal agencies. An allotment is derived from its pastures, where livestock grazing occurs. These attributes of the BLM Grazing Allotment features may be duplicated in RAS, but are considered to be minimum information for unique identification and cartographic purposes.
Bureau of Land Management - Utah State Office
Alan Bass
Utah BLM State Office
Rangeland Management Specialist
(801) 539-4149
440 West 200 South
Salt Lake City
UT
84101-1345
US
abass@blm.gov
2024
Authorization
BLM
boundaries
farming
Geospatial
Grazing
Lands
Management
Pasture
Range
UT
Utah
These data are provided by Bureau of Land Management (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 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. These data may be updated by the BLM without notification.
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.
None, these data are considered public domain.
Window Server 2016 Standard; Esri ArcGIS 10.7.1 (build 11595)
publication date
20240712
A published revision effective Dec 16, 2014 of the Department of the Interior Departmental Manual, Series: Departmental Management, Part 305: Departmental Science Efforts, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3) may be read and downloaded from 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).
1
-114.356983
-108.818574
42.034138
36.904816
Last metadata review date: 20240712
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.
None, these data are considered public domain.
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.
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.
The completeness of this dataset reflects that of the source datasets.
The positional accuracy across this dataset varies according to the source.
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.
Unknown
Alan Bass
Utah BLM State Office
Rangeland Management Specialist
(801) 539-4149
440 West 200 South
Salt Lake City
UT
84101-1345
US
abass@blm.gov
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
U.S. Department of Interior, Bureau of Land Management (BLM)
http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf
1403
EPSG
6.11(3.0.1)
gra_past_poly
BLM Utah Grazing Pasture Polygons
Feature Class
1403
OBJECTID
Internal feature number.
Esri
OBJECTID
OID
4
0
0
Sequential unique whole numbers that are automatically generated.
ALLOT_NO
Allotment Number
Allotment Number
String
5
0
0
ALLOT_NAME
Allotment Name
Allotment Name
String
50
0
0
GIS_ACRES
GIS Acres
GIS Acres
Double
8
0
0
ADM_OFC_CD
Administrative office code
Administrative office code
String
6
0
0
ADM_UNIT_CD
The BLM administrative unit/office that is a combination of Administrative State Code and Administrative Office Code that fully identifies the geographic area which has jurisdiction over the lands.
Administrative Unit Code
String
8
0
0
DOM_ADM_UNIT_CD
Areas of Critical Environmental Concern (ACEC) Implementation Guidelines
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 only. It is not used as a unique identifier for relationships between feature classes/tables.
Esri
GlobalID
GlobalID
38
0
0
ST_ALLOT
Managing State Allotment Number
String
7
0
0
ACTIVE_DT
Allotment Active Date
Date
8
0
0
ADMIN_ST
An administrative unit that identifies the state or geographic area which has administrative jurisdiction over lands, and cases.
Administrative State Code
String
2
0
0
DOM_ADMIN_ST
Areas of Critical Environmental Concern (ACEC) Implementation Guidelines
SHAPE
Feature geometry.
Esri
SHAPE
Geometry
0
0
0
Coordinates defining the features.
SHAPE.STArea()
SHAPE.STArea()
Double
0
0
0
SHAPE.STArea()
SHAPE.STLength()
SHAPE.STLength()
Double
0
0
0
SHAPE.STLength()
See the Pasture and Allotment Boundaries Implementation Guidelines.
Simple
FALSE
1403
TRUE
FALSE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=