BLM Natl MLRS Land Use Authorization- Rights of Way ROW

This dataset contains land use authorization- rights-of-way cases 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. The minimum data entry requirement for legal descriptions for linear authorizations is to the nearest 40 acre aliquot level (e.g.,NENW). Legal descriptions for non-linear authorizations are as described on the authorizing document. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. This data set contains cases with the dispositions of 'Authorized', 'Pending','Closed', and 'Interim'. 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.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:04}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/blm-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier https://www.arcgis.com/home/item.html?id=d7aa622b202c49e1a74f269a37dbfc4d&sublayer=0
issued 2023-11-14T18:08:46Z
landingPage https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-natl-mlrs-land-use-authorization-rights-of-way-row
license http://www.usa.gov/publicdomain/label/1.0/
metadata_type geospatial
modified 2025-02-10T23:07:06Z
old-spatial -170.2433,24.7640,173.2049,71.3890
programCode {010:000}
publisher Bureau of Land Management
resource-type Dataset
source_datajson_identifier true
source_hash bbfb7d8c836b08bdfeff3c989f58a91020bb6bf2fc495434fccdafbbbd2b0df6
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-170.2433, 24.7640], [-170.2433, 71.3890], [173.2049, 71.3890], [173.2049, 24.7640], [-170.2433, 24.7640]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • alabama
  • alaska
  • arizona
  • arkansas
  • authorization
  • boundaries
  • california
  • colorado
  • connecticut
  • delaware
  • district-of-columbia
  • eastern-states
  • energy
  • florida
  • geology
  • georgia
  • geoscientificinformation
  • geospatial
  • idaho
  • illinois
  • indiana
  • iowa
  • kansas
  • kentucky
  • land-grid
  • lease
  • louisiana
  • maine
  • management
  • maryland
  • massachusetts
  • michigan
  • mining
  • minnesota
  • mississippi
  • missouri
  • montana
  • nebraska
  • nevada
  • new-hampshire
  • new-jersey
  • new-mexico
  • new-york
  • north-carolina
  • north-dakota
  • ohio
  • oklahoma
  • oregon
  • pennsylvania
  • permit
  • planningcadastre
  • plss
  • public-land-survey-system
  • range
  • rhode-island
  • section
  • south-carolina
  • south-dakota
  • tennessee
  • texas
  • township
  • utah
  • vermont
  • virginia
  • washington
  • west-virginia
  • wisconsin
  • wyoming
isopen False
license_id us-pd
license_title us-pd
maintainer Bureau of Land Management, blm_mlrs
maintainer_email blm_mlrs@blm.gov
metadata_created 2025-09-24T05:49:27.772373
metadata_modified 2025-09-24T05:49:27.772383
notes <div style='text-align:left;'><div><div><p style='font-size:12pt;'><span>This dataset contains land use authorization- rights-of-way cases 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. The minimum data entry requirement for legal descriptions for linear authorizations is to the nearest 40 acre aliquot level (e.g.,NENW). Legal descriptions for non-linear authorizations are as described on the authorizing document. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. This data set contains cases with the dispositions of 'Authorized', 'Pending','Closed', and 'Interim'. </span></p><p style='font-size:12pt;'><span><br /></span></p><p><span style='font-size:16px;'>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. </span></p><p><ul><li><span style='font-size:16px;'>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. </span></li><li><span style='font-size:16px;'>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 </span></li><li><span style='font-size:16px;'>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). </span></li><li><span style='font-size:16px;'>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. </span></li><li><span style='font-size:16px;'>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. </span></li><li><span style='font-size:16px;'>Group 6 – Mapped to County. Scores of “25” map to the County. </span></li><li><span style='font-size:16px;'>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.</span></li></ul></p><p></p></div></div></div>
num_resources 8
num_tags 76
title BLM Natl MLRS Land Use Authorization- Rights of Way ROW