5 datasets found
  1. BLM Natl MLRS Land Use Authorization- Leases-Permits-Easements

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated May 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bureau of Land Management (2025). BLM Natl MLRS Land Use Authorization- Leases-Permits-Easements [Dataset]. https://catalog.data.gov/dataset/blm-natl-mlrs-land-use-authorization-leases-permits-easements
    Explore at:
    Dataset updated
    May 5, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    This dataset contains land use authorization leases, permits and easement 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 description 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.

  2. USA Protected Areas - GAP Status 1-4 (Mature Support)

    • hub.arcgis.com
    • colorado-river-portal.usgs.gov
    Updated Feb 1, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). USA Protected Areas - GAP Status 1-4 (Mature Support) [Dataset]. https://hub.arcgis.com/datasets/5929d41b496f4747ba6a7f588ca618a9
    Explore at:
    Dataset updated
    Feb 1, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.The Protected Areas Database of the United States provides a comprehensive map of lands protected by government agencies and private land owners. This database combines federal lands with information on state and local government lands and conservation easements on private lands to create a powerful resource for land-use planning.Dataset SummaryPhenomenon Mapped: Areas mapped in the Protected Areas Data base of the United States (GAP Status 1-4)Units: MetersCell Size: 30.92208102 metersSource Type: ThematicPixel Type: 8-bit unsigned integerData Coordinate System: WGS 1984Mosaic Projection: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, Northern Mariana Islands and American Samoa.Source: USGS National Gap Analysis Program PAD-US version 3.0Publication Date: July 2022ArcGIS Server URL: https://landscape10.arcgis.com/arcgis/This layer displays lands mapped in Protected Areas Database of the United States version 3.0 created by the USGS National Gap Analysis Program. This layer displays all four GAP Status classes: GAP Status 1 - Areas managed for biodiversity where natural disturbances are allowed to proceedGAP Status 2 - Areas managed for biodiversity where natural disturbance is suppressedGAP Status 3 - Areas protected from land cover conversion but subject to extractive uses such as logging and miningGAP Status 4 - Areas with no known mandate for protectionThe source data for this layer are available here. A feature layer published from this dataset is also available. The polygon vector layer was converted to raster layers using the Polygon to Raster Tool using the National Elevation Dataset 1 arc second product as a snap raster.The service behind this layer was published with 8 functions allowing the user to select different views of the service. Other layers created from this service using functions include:USA Protected AreasUSA Protected from Land Cover ConversionUSA Unprotected AreasUSA Protected Areas - Gap Status 1USA Protected Areas - Gap Status 2USA Protected Areas - Gap Status 3USA Protected Areas - Gap Status 4What can you do with this Layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "Protected Areas" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "Protected Areas" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

  3. c

    Public Sewer Easements

    • data.cityofsalem.net
    Updated Jun 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Salem, Oregon (2025). Public Sewer Easements [Dataset]. https://data.cityofsalem.net/datasets/public-sewer-easements
    Explore at:
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    City of Salem, Oregon
    Area covered
    Description

    Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

  4. a

    fegn2021 shapefile for ArcGISPro

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    • +1more
    Updated Sep 30, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cossppgis (2021). fegn2021 shapefile for ArcGISPro [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/832b16d8f6504ea7bc80665861c0932a
    Explore at:
    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Cossppgis
    Area covered
    Description

    Florida Ecological Greenways Network 2021 (layer name fegn2021_polygon): This vector layer was created from the original raster grid version (fegn2021) created by the University of Florida Center for Landscape Conservation Planning to provide an ecological component to the Statewide Greenways System plan developed by the Department of Environmental Protection, Office of Greenways and Trails (OGT). The FEGN guides OGT ecological greenway conservation efforts and promotes public awareness of the need for and benefits of a statewide ecological greenways network. It is also used as the primary data layer to inform the Florida Forever and other state and regional land acquisition programs regarding the location of the most important wildlife and ecological corridors and large, intact landscapes in the state. The FEGN identifies areas of opportunity for protecting a statewide network of ecological hubs (large areas of ecological significance) and linkages designed to maintain large landscape-scale ecological functions including priority species habitat and ecosystem services throughout the state. Inclusion in the FEGN means the area is either part of a large landscape-scale “hub”, or an ecological corridor connecting two or more hubs. Hubs indicate core landscapes that are large enough to maintain populations of wide-ranging or fragmentation-sensitive species including black bear or panther and areas that are more likely to support functional ecosystem services. Highest priorities indicate the most significant hubs and corridors in relation to completing a functionally connected statewide ecological network, but all priority levels have conservation value. FEGN Priorities 1, 2, and 3 are the most important for protecting a ecologically functional connected statewide network of public and private conservation lands, and these three priority levels (P1, P2, and P3) are now called the Florida Wildlife Corridor as per the Florida Wildlife Corridor legislation passed and signed into law by the Florida Legislature and Governor and 2021, which makes protection of these wildlife and ecological hubs and corridors a high priority as part of a strategic plan for Florida’s future. To accomplish this goal, we need robust state, federal, and local conservation land protection program funding for Florida Forever, Rural and Family Lands Protection Program, Natural Resources Conservation Service easements and incentives, federal Land and Waters Conservation Fund, payments for ecosystem services, etc.For more information http://conservation.dcp.ufl.edu/fegnproject/

  5. a

    Montana Yellowstone River 2022 Spring Flood Disaster Area of Interest Data...

    • hub.arcgis.com
    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    Updated Jul 29, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Montana Geographic Information (2022). Montana Yellowstone River 2022 Spring Flood Disaster Area of Interest Data Snapshot July 2022 [Dataset]. https://hub.arcgis.com/documents/e873d79233bc4796928380bc4a947cac
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Montana
    Description

    This links to a .ZIP file contains Montana Spatial Data Infrastructure (MSDI) and other pertinent data layers clipped to the Montana Yellowstone River 2022 Spring Flood Disaster Subset Area of Interest polygon. The Area of Interest includes areas immediately adjacent to the flooded tributaries of the Yellowstone River in Carbon, Park, Stillwater, Sweet Grass, Treasure and Yellowstone Counties. The data layers are current as of July 2022. The .ZIP file also contains ArcMap layer files, map templates, and metadata for the source geodatabase data.For datasets clipped to the county or statewide use the Montana Data Bundler: https://msl.mt.gov/GIS/BundlerInside the zip are: A 2022MontanaFlood_DataList.docx that lists all GIS data included in this archive.A ReadMe.docx that details the data organization, instructions on how to set he map file paths, how to change the display map extents, and how to connect to web GIS services.ArcMap Layer Symbology Files (.lyr)GIS Layer MetadataMap Project Templates (ArcMap 10.7 and ArcGIS Pro 2.9 are included; other versions available upon request)File Geodatabase with data layers clipped to the Spring 2022 Flood Yellowstone River Area of InterestData Included:Montana Spatial Data Infrastructure (MSDI) DataAdministrative Boundaries - County Boundaries - Municipalities-Cities, TownsCadastral - Ownership - Public Lands - Conservation Easements Geographic Names - MT_NamesNational Hydrography Dataset - WBDHUC8-HUC8SubBasin - WBDHUC10-HUC10Watershed - WBDHUC12-HUC12Subwatershed - NHDFlowline - NHDWaterbody - NHDAreaCADNSDI (Public Land Survey database) - PLSSFirstDivision-Sections - PLSSTownship-TownshipsStructure/Address PointsTransportation - Bridges - Railroads - Roads Wetland and RiparianMTNHP Landcover - Landcover 2017 - Landcover 2021 (version 1)Elevation - NED 10 meter digital elevation model (DEM) - NED-Continuous, Integer rasters - Aspect-Continuous, Integer rasters (10 meter) - Slope-Continuous, Integer rasters (10 meter) - LiDAR-Derived Building Footprints - LiDAR Building Footprint Boundary - LiDAR ProjectsSoils (NRCS SSURGO) - Soils Map units - Soils Points - Soils LinesUSDA Forest ServiceLandfire – Existing Vegetation Type (EVT)Landfire – Existing Vegetation Height (EVH)Landfire – Existing Vegetation Cover (EVC)USDA NASS DataCropLand Data Layer 2021Department of Revenue Data2020 DOR Final Land Units (FLU)MiscellaneousBuilding Footprints (Microsoft)USGS 24k Topo Quads

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bureau of Land Management (2025). BLM Natl MLRS Land Use Authorization- Leases-Permits-Easements [Dataset]. https://catalog.data.gov/dataset/blm-natl-mlrs-land-use-authorization-leases-permits-easements
Organization logo

BLM Natl MLRS Land Use Authorization- Leases-Permits-Easements

Explore at:
Dataset updated
May 5, 2025
Dataset provided by
Bureau of Land Managementhttp://www.blm.gov/
Description

This dataset contains land use authorization leases, permits and easement 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 description 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.

Search
Clear search
Close search
Google apps
Main menu