20250519
07260300
1.0
FALSE
BLM_MLRS_Acquisitions
-156.707328
-73.676765
25.837245
62.860611
1
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
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20250707
09053400
20250707
09053400
150000000
5000
Geospatial Program Specialist
BLM National Headquarters, HQ350
Geospatial Program Specialist
760 Horizon Drive
Grand Junction
CO
81506
US
blm_mlrs@blm.gov
8:00 am to 5:00pm Monday-Friday
20250707
NOC Data Management Lead
BLM National Operations Center, OC530
NOC Data Management Lead
Bldg 50, Denver Federal Center
Denver
CO
80225
US
blm_mlrs@blm.gov
8:00 am to 5:00pm Monday-Friday
2020-09-11
File geodatabase
ArcGIS 10.4.1
Esri ArcGIS software capabale of reading file geodatabase format.
https://gis.blm.gov/nlsdb/rest/services/NLSDB/MapServer
Enterprise Geodatabase Feature Class
BLM-STATE
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Eastern States
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maryland
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Mexico
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
South Dakota
Tennessee
Texas
Utah
Virginia
Washington
West Virginia
Wisconsin
Wyoming
BLM-THEME
Authorization
Geospatial
Management
NONE
Connecticut
Delaware
District of Columbia
Maine
Massachusetts
New Hampshire
New Jersey
New York
Rhode Island
South Carolina
Vermont
NONE
Acquired Land
Land Acquisition
land grid
Land Tenure
PLSS
Public Land Survey System
section
township
-178.66884901799997
-72.205219
71.38902810000008
24.560030
BLM MLRS Acquisitions
2020-09-11
U.S. Department of the Interior, Bureau of Land Management (BLM)
Bureau of Land Management
vector digital data
The BLM may purchase or acquire land and interests in land (including access easements, conservation easements, mineral rights and water rights) if funding is available, acquisition is supported in a land use plan, and there are no title defects, hazardous materials or other local issues. Acquiring land through purchase can enhance recreation opportunities, preserve open space, strengthen resource protection, and provide an alternative for transferring ownership to the BLM when a land exchange or other options are not available. Lands may also be acquired through donation. Such offers generally may be accepted as a gift to the United States if the lands are contiguous to, and “block-up” with, existing public lands. Donation may allow the donor an income tax deduction based on the appraised value of the donation. This dataset contains current and historic land acquisition cases with the dispositions of 'Authorized', Interim' or 'Status Record' The data are derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores. Group 1: Direct PLSS Match. Scores "0", "1", "2", "3" should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS. Group 2: Calculated PLSS Match. Scores "4", "4.1", "5", "6", "7" and "8" were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS Group 3: Mapped to Section. Score of "8.1", "8.2", "8.3", "9" and "10" are mapped to the Section for various reasons (refer to log information in data quality field). Group 4: Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not. Group 5: No NLSDB Geometry, Only Attributes. Scores "11", "12", "20", "21" and "22" do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data. Group 6 :Mapped to County. Scores of "25" map to the County. Group 7: Improved Geometry. Scores of "100" are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.
To geospatially represent land acquisition cases within Mineral and Land Records System (MLRS).
U.S. Department of Interior, Bureau of Land Management (BLM)
Bureau of Land Management, HQ
National Data Steward
760 Horizon Drive
Grand Junction
CO
81506
US
blm_mlrs@blm.gov
8:00 am to 5:00pm Monday-Friday
Acquired Land
Alabama
Alaska
Arizona
Arkansas
Authorization
boundaries
California
Colorado
Connecticut
Delaware
District of Columbia
Eastern States
Florida
Georgia
geoscientificInformation
Geospatial
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Land Acquisition
land grid
Land Tenure
Louisiana
Maine
Management
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
planningCadastre
PLSS
Public Land Survey System
Rhode Island
section
South Carolina
South Dakota
Tennessee
Texas
township
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
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.
Esri ArcGIS 12.9.4.32739
true
-123.136435
-79.436678
48.919969
31.332527
publication date
2020-09-11
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.
Last metadata review date: 20250519
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 GIS data is created from MLRS. Data is created using the most current CADNSDI data (Survey Grid) and the BLM MLRS Case database legal land descriptions. New cases will be added to this dataset when they are added to MLRS
The logical consistency of this dataset reflects that of the source database.
The completeness of this dataset reflects that of the source database.
This national dataset is an aggregation from multiple datasets provided, please call the distributor for additional information on provenance, history, accuracy and quality of the data. The positional accuracy across this dataset varies according to the source.
The accuracy and precision of the PLSS determines the spatial accuracy and precision of the final location of the geometry in the GIS layer.
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.
24000
BLM Mineral and Land Records System
BLM Mineral and Land Records System
https://mlrs.blm.gov/s/
Case groups were identified from the BLM NLSDB database using a BLM customized query of BLM Product. The current query for Acquisitions: CSE_DISP IN ('Authorized', 'Interim', 'Status Record') And CSE_TYPE_NR LIKE '21%' AND (LOWER(REC_TYPE_CSE_GRP) NOT LIKE 'land transfer%' OR REC_TYPE_CSE_GRP IS NULL).
2023-06-15
Geospatial Program Specialist
BLM National Headquarters
Geospatial Program Specialist
760 Horizon Drive
Grand Junction
CO
81506
US
blm_mlrs@blm.gov
97421
Acquisitions_Case_Disp
BLM National Land Status Database
Bureau of Land Management
Feature Class
97421
CSE_TYPE_NR
Case Type Number
BLM Product Code
MLRS
String
255
0
0
ID
ID
String
255
0
0
Unique number sequence for the record
Shape
Feature geometry.
Esri
Coordinates defining the features.
SHAPE
Geometry
8
0
0
RCRD_ACRS
Record Acres of the Case
MLRS
Case Acres
Double
8
38
8
SF_ID
ID generated from Salesforce
Salesforce
Salesforce ID
String
255
0
0
BLM_PROD
Unique names that differentiate between different types of BLM cases
BLM Product
MLRS
String
255
0
0
OBJECTID
Object ID Field
Feature Service
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
LEG_CSE_NR
Case Number From LR2000K or ALIS
LR2000k or ALIS
Legacy Case Serial Number
String
255
0
0
CSE_NR
Case Serial Number
Case Serial Number
MLRS
255
0
0
0
CSE_DISP
Present status of the case.
MLRS
Case Disposition
String
255
0
0
CSE_META
Case legal land descriptions
Case Metadata
MLRS
String
1073741822
0
0
CUST_NM_SEC
Business Account Name
String
255
0
0
Name of the Business Account Associated with the case
PCT_INT_SEC
Business Account Percent Interest
Double
8
38
8
Percent Interest in the case of the Business Account
INT_REL_SEC
Business Account Interest Relationship
String
255
0
0
Interest Relationship to the case of the Business Account
QLTY
A measure of how well the MLRS algorithm mapped the legal land description. A number from 1-25 for algorithm parcels and a score of 100 for improved geometries uploaded to the system.
8
Section has less than 5 polygons
2
Might contain a lot that is not attributed to the quarter section
8.1
No direct match to Second Division, Roll up to Section
6
Township typically contains Protraction Blocks
3
Mismatch in search area geometry and attributes
4
No attributes
25
Non-PLSS State Case
10
No quarter found. Mapped to section
9
Might be in township that is unsurveyed and unprotracted
12
No township found
1
Might have other survey type extending beyond quarter
15
LLD Mapped Partially
5
No attributes and mismatch in search area geometry
7
Greater than 65 polygons found
0
Four attributed QQ found within quarter
11
No section found
20
Exceptions. Mapping algorithm failed
4.1
Minor aliquot part mapped by direct match with subdivision render
8.2
Possible PLSS attribute error-mapped to section
8.3
Survey type is free form or metes and bounds - mapped to section
21
State Indemnity Land
22
State Township Location Unknown
Data Quality
MLRS
String
255
0
0
CMMDTY
Commodity
MLRS
Commodity
String
255
0
0
CSE_NAME
Case Name
Geographic Name
MLRS
String
255
0
0
ADMIN_STATE
Administrative State of the Case
Administrative State
MLRS
String
2
0
0
GEO_STATE
Geographic State of the Case
Geographic State
MLRS
String
2
0
0
SRC
Data Source
String
255
0
0
Data Source
CSE_DISP_DT
Case Disposition Date
Case Disposition Date
Date
8
0
0
PAT_NR
Patent Number
String
255
0
0
Patent Number
MLRS
SEG_MIN
Segregated Mineral Estate
String
255
0
0
Segregation (Mineral)
MLRS
SEG_SUR
Segregated Surface Estate
String
255
0
0
Segregation (Surface)
MLRS
Created
Created
Date
8
0
0
Created Date
Modified
Modified
Date
8
0
0
Modifed Date
REC_TYPE_CSE_GRP
Case group for the Record Type
String
255
0
0
Record Type - Case Group
MLRS
CSE_DISP_ACTION
Case Disposition Action
String
255
0
0
Case Disposition Action
MLRS
SUPP_USE
Supplemental Use
Supplemental use
MLRS
String
1500
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape Area
Shape.STLength()
Shape.STLength()
Double
0
0
0
Shape Length
This dataset contains case groups derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's Mineral & Land Records System (MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. New cases will be added to this dataset by BLM staff as created.
dataset
EPSG
6.5(3.0.1)
Simple
FALSE
97421
TRUE
FALSE