100+ datasets found
  1. d

    California Land Ownership

    • catalog.data.gov
    • data.cnra.ca.gov
    • +8more
    Updated Nov 27, 2024
    + more versions
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    CAL FIRE (2024). California Land Ownership [Dataset]. https://catalog.data.gov/dataset/california-land-ownership-b6394
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    CAL FIRE
    Area covered
    California
    Description

    This dataset was updated April, 2024.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes: Clipping input datasets to the California boundary Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc) Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California. Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only. Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs) In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.Data Sources: GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.htmlData Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

  2. Land Ownership

    • hub.arcgis.com
    • cwt-nga.opendata.arcgis.com
    • +1more
    Updated Jun 20, 2017
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    National Geospatial-Intelligence Agency (2017). Land Ownership [Dataset]. https://hub.arcgis.com/maps/9ee27cb94ca14cce8e0400fc734516d8
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    Dataset updated
    Jun 20, 2017
    Dataset authored and provided by
    National Geospatial-Intelligence Agencyhttp://www.nga.mil/
    Area covered
    Description

    Information about the ownership and control of land parcels of a given area including the cadastral system and patterns of land ownership and inheritance and tenure. Includes, for example, information about: the system by which land (as a commodity) is bounded, purchased, and sold. Patterns of ownership and control (for example: owner-occupied, absentee landlord, common property)

  3. d

    Parcels and Land Ownership, This data set consists of digital map files...

    • datadiscoverystudio.org
    • data.wu.ac.at
    htm
    Updated Aug 19, 2017
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    (2017). Parcels and Land Ownership, This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions, Published in Not Provided, 1:2400 (1in=200ft) scale, Racine County Government.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e0ae644ee284442593f91839e44af038/html
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    htmAvailable download formats
    Dataset updated
    Aug 19, 2017
    Description

    description: Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.; abstract: Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.

  4. a

    Michigan Forest Land Ownership 2019

    • usfs.hub.arcgis.com
    Updated Jun 14, 2021
    + more versions
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    U.S. Forest Service (2021). Michigan Forest Land Ownership 2019 [Dataset]. https://usfs.hub.arcgis.com/maps/f1a15650f89f4da794030f65044f7ef9
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    Dataset updated
    Jun 14, 2021
    Dataset authored and provided by
    U.S. Forest Service
    Area covered
    Description

    This geospatial dataset depicts ownership patterns of forest land across Michigan, circa 2019. The data sources are listed below. The first seven sources of data supersede the final data source. The final data source is modeled from Forest Inventory and Analysis points from 2012-2017 and the most up-to-date publicly available boundaries of federal, state, and tribal lands.1.MI_State_Boundary_Census_Gov_2019.shp (State of MI boundary) clipped from cb_2019_us_state_500k from https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html2.NPS_Land_Resources_Division_MI.shp clipped from NPS_-_Land_Resources_Division_Boundary_and_Tract_Data_Service-shp taken from https://public-nps.opendata.arcgis.com/datasets/nps-land-resources-division-boundary-and-tract-data-service/data?layer=1Published December 12, 2019This service depicts National Park Service tract and boundary data that was created by the Land Resources Division. NPS Director's Order #25 states: "Land status maps will be prepared to identify the ownership of the lands within the authorized boundaries of the park unit. These maps, showing ownership and acreage, are the 'official record' of the acreage of Federal and non-federal lands within the park boundaries. While these maps are the official record of the lands and acreage within the unit's authorized boundaries, they are not of survey quality and not intended to be used for survey purposes." As such this data is intended for use as a tool for GIS analysis. It is in no way intended for engineering or legal purposes. The data accuracy is checked against best available sources which may be dated and vary by location. NPS assumes no liability for use of this data. The boundary polygons represent the current legislated boundary of a given NPS unit. NPS does not necessarily have full fee ownership or hold another interest (easement, right of way, etc...) in all parcels contained within this boundary. Equivalently NPS may own or have an interest in parcels outside the legislated boundary of a given unit. In order to obtain complete information about current NPS interests both inside and outside a unit’s legislated boundary tract level polygons are also created by NPS Land Resources Division and should be used in conjunction with this boundary data. To download this data directly from the NPS go to https://irma.nps.gov/App/Portal/Home Property ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service (NPS) shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. 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. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. Terms of UseProperty ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. 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. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.3.Isle Royale.shp only Isle Royale clipped from MI_State_Boundary_Census_Gov_2019.shp4.FWSInterest_MI.shp (U.S. Fish and Wildlife Service) clipped from FWSInterest from FWSInterest_Apr2020.zipfrom https://www.fws.gov/gis/data/CadastralDB/index_cadastral.html (being moved on 6/26/2020)Use inttype1 = OThis data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions. It may also include inholdings that are not administered by USFWS. The primary source for this information is the USFWS Realty program.5.surfaceownership_MI.shp (U.S. National Forest Service) clipped from S_USA.SurfaceOwnership.gdb and downloaded fromhttps://data.fs.usda.gov/geodata/edw/datasets.phphttps://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=surfaceownershiprefreshed May 26, 2020Used NFSLandU_4 field and surfaceO_3 and surfaceO_3 to identify NFS parcelsAn area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries.6.MichiganDNR_02062020.shp (State of Michigan) from the State of MI delivered @ email on 5/14/2020Has State forests, State Wildlife areas, and State parks.7.The previous public ownership layers supersede this Sass et al. (2020) layer.In Sass et al. (2020), the nonforest areas are masked out.Identification_Information:Citation:Citation_Information:Originator: Sass, Emma M.Originator: Butler, Brett J.Originator: Markowski-Lindsay, Marla Publication_Date: 2020Title:Estimated distribution of forest ownership across the conterminous United States – geospatial datasetGeospatial_Data_Presentation_Form: raster digital dataPublication_Information:Publication_Place: Fort Collins, COPublisher: Forest Service Research Data ArchiveEight values of ownership type:1 = Family (Private): Owned by families, individuals, trusts, estates, family partnerships, and other unincorporated groups of individuals that own forest land. FIACode 45.2 = Corporate (Private): Owned by corporations. FIA Code 41.3 = TIMO/REIT (Private): Owned by Timber Investment Management Organizations or Real Estate Investment Trusts. Included in FIA Code 414 = Other Private (Private): Owned by conservation and natural resource organizations, unincorporated partnerships and associations. FIA Codes 42-43.5 = Federal (Public): Owned by the federal government. FIA Codes 11-13, 21-25.6 = State (Public): Owned by a state government. FIA Code 31.7 = Local (Public): Owned by a local government. FIA Code 32.8 = Tribal: Owned by Native American tribes. FIA Code 44.8.FIA inventory units developed by FIA, 2020

  5. m

    Massachusetts Interactive Property Map

    • gis.data.mass.gov
    • hub.arcgis.com
    Updated Sep 30, 2014
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    MassGIS - Bureau of Geographic Information (2014). Massachusetts Interactive Property Map [Dataset]. https://gis.data.mass.gov/datasets/massachusetts-interactive-property-map
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    Dataset updated
    Sep 30, 2014
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Description

    To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

  6. w

    Weld County Property Ownership Map

    • gishub.weldgov.com
    • hub.arcgis.com
    • +2more
    Updated Oct 7, 2019
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    WeldCounty (2019). Weld County Property Ownership Map [Dataset]. https://gishub.weldgov.com/documents/d803a62cd16944ab8e57861f8dec0ad4
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    Dataset updated
    Oct 7, 2019
    Dataset authored and provided by
    WeldCounty
    Area covered
    Weld County
    Description

    This map shows the breakdown of parcel ownership in Weld County by surface owner. The parcels that are 40 acres and larger are labeled with the owner name, the parcels that are between 10 acres and 40 acres are labeled with a number that corresponds to the owner name index and everything smaller than 10 acres is too small to label.

  7. s

    Property Lookup

    • data.stlouisco.com
    • hamhanding-dcdev.opendata.arcgis.com
    Updated Mar 31, 2017
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    Saint Louis County GIS Service Center (2017). Property Lookup [Dataset]. https://data.stlouisco.com/app/property-lookup
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    Dataset updated
    Mar 31, 2017
    Dataset authored and provided by
    Saint Louis County GIS Service Center
    Description

    Web App. Use the tabs provided to discover information about map features and capabilities. Link to Metadata. A variety of searches can be performed to find the parcel of interest. Use the Query Tool to build searches. Click Apply button at the bottom of the tool.Query by Name (Last First) (e.g. Bond James)Query by Address (e.g. 41 S Central)Query by Locator number (e.g. 21J411046)Search results will be listed under the Results tab. Click on a parcel in the list to zoom to that parcel. Click on the parcel in the map and scroll through the pop-up to see more information about the parcel. Click the ellipse in the Results tab or in the pop-up to view information in a table. Attribute information can be exported to CSV file. Build a custom Filter to select and map properties by opening the Parcels attribute table:1. Click the arrow tab at the bottom middle of the map to expand the attribute table window2. Click on the Parcels tab3. Check off Filter by map extent4. Open Options>Filter5. Build expressions as needed to filter by owner name or other variables6. Select the needed records from the returned list7. Click Zoom to which will zoom to the selected recordsPlease note that as the map zooms out detailed layers, such as the parcel boundaries will not display.In addition to Search capabilities, the following tools are provided:MeasureThe measure tool provides the capabilities to draw a point, line, or polygon on the map and specify the unit of measurement.DrawThe draw tool provides the capabilities to draw a point, line, or polygon on the map as graphics. PrintThe print tool exports the map to either a PDF or image file. Click Settings button to configure map or remove legend.Map navigation using mouse and keyboard:Drag to panSHIFT + CTRL + Drag to zoom outMouse Scroll Forward to zoom inMouse Scroll Backward to zoom outUse Arrow keys to pan+ key to zoom in a level- key to zoom out a levelDouble Click to Zoom inFAQsHow to select a parcel: Click on a parcel in the map, or use Query Tool to search for parcel by owner, address or parcel id.How to select more than one parcel: Go to Select Tool and choose options on Select button.How to clear selected parcel(s): Go to Select Tool and click Clear.

  8. FRAP - Public Lands Ownership

    • wifire-data.sdsc.edu
    • hub.arcgis.com
    csv, esri rest +4
    Updated Jul 18, 2019
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    CA Governor's Office of Emergency Services (2019). FRAP - Public Lands Ownership [Dataset]. https://wifire-data.sdsc.edu/dataset/frap-public-lands-ownership
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    zip, geojson, esri rest, html, kml, csvAvailable download formats
    Dataset updated
    Jul 18, 2019
    Dataset provided by
    California Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

    1) snapping federal data sources to parcels;
    2) clipping to the FRA footprint;
    3) overlaying the federal data sources and using a hierarchy when sources overlap to resolve coding issues (BIA, UFW, NPS, USF, BLM, DOD, ACE, BOR);
    4) utilizing an automated process to merge “unknown” FRA slivers with appropriate adjacent ownerships;
    5) a manual review of FRA areas not assigned a federal agency by this process.

    Non-Federal ownership information was obtained from the California Protected Areas Database (CPAD), was clipped to the non-FRA area, and an automated process was used to fill in some sliver-gaps that occurred between the federal and non-federal data. Southeastern Desert Area: CAL FIRE does not devote the same level of resources for maintaining SRA data in this region of the state, since we have no fire protection responsibility. This includes almost all of Imperial County, and the desert portions of Riverside, and San Bernardino Counties. In these areas, we used federal protection areas from the current version of the Direct Protection Areas (DPA) dataset. Due to the fact that there were draw-issues with the previous version of ownership, this version does NOT fill in the areas that are not assigned to one of the owner groups (it does not cover all lands in the state). Also unlike previous versions of the dataset, this version only defines ownership down to the agency level - it does not contain more specific property information (for example, which National Forest). The option for a more detailed future release remains, however, and due to the use of automated tools, could always be created without much additional effort.This dataset includes a representation to symbolize based on the Own_Group field using the standard color scheme utilized on DPA maps.For more details about data inputs, see the Lineage section of the metadata. For detailed notes on previous versions, see the Supplemental Information section of the metadata.

    This ownership dataset is derived from CAL FIRE's SRA dataset, and GreenInfo Network's California Protected Areas Database. CAL FIRE tracks lands owned by federal agencies as part of our efforts to maintain fire protection responsibility boundaries, captured as part of our State Responsiblity Areas (SRA) dataset. This effort draws on data provided by various federal agencies including USDA Forest Service, BLM, National Park Service, US Fish and Wildlife Service, and Bureau of Inidan Affairs. Since SRA lands are matched to county parcel data where appropriate, often federal land boundaries are also adjusted to match parcels, and may not always exactly match the source federal data. Federal lands from the SRA dataset are combined with ownership data for non-federal lands from CPAD, in order to capture lands owned by various state and local agencies, special districts, and conservation organizations. Data from CPAD are imported directly and not adjusted to match parcels or other features. However, CPAD features may be trimmed if they overlap federal lands from the SRA dataset. Areas without an ownership feature are ASSUMED to be private (but not included in the dataset as such).

    This service represents the latest release of the dataset by FRAP, and is updated twice a year when new versions are released.

  9. USA Federal Lands

    • hub.arcgis.com
    • geodata.colorado.gov
    Updated Feb 5, 2018
    + more versions
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    Esri (2018). USA Federal Lands [Dataset]. https://hub.arcgis.com/maps/esri::usa-federal-lands
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    Dataset updated
    Feb 5, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    In the United States, the federal government manages approximately 28% of the land in the United States. Most federal lands are west of the Mississippi River, where almost half of the land by area is managed by the federal government. Federal lands include 193 million acres managed by the US Forest Service in 154 National Forests and 20 National Grasslands, Bureau of Land Management lands that cover 247 million acres in Alaska and the Western United States, 150 million acres managed for wildlife conservation by the US Fish and Wildlife Service, 84 million acres of National Parks and other lands managed by the National Park Service, and over 30 million acres managed by the Department of Defense. The Bureau of Reclamation manages a much smaller land base than the other agencies included in this layer but plays a critical role in managing the country's water resources. The agencies included in this layer are:Bureau of Land ManagementDepartment of DefenseNational Park ServiceUS Fish and Wildlife ServiceUS Forest ServiceDataset SummaryPhenomenon Mapped: United States federal lands managed by six federal agenciesGeographic Extent: 50 United States and the District of Columbia, Puerto Rico, US Virgin Islands, Guam, American Samoa, and Northern Mariana Islands. The layer also includes National Monuments and Wildlife Refuges in the Pacific Ocean, Atlantic Ocean, and the Caribbean Sea.Data Coordinate System: WGS 1984Visible Scale: The data is visible at all scales but draws best at scales greater than 1:2,000,000Source: BLM, DOD, USFS, USFWS, NPS, PADUS 3.0Publication Date: Various - Esri compiled and published this layer in May 2025. See individual agency views for data vintage.There are six layer views available that were created from this service. Each layer uses a filter to extract an individual agency from the service. For more information about the layer views or how to use them in your own project, follow these links:USA Bureau of Land Management LandsUSA Department of Defense LandsUSA National Park Service LandsUSA Fish and Wildlife Service LandsUSA Forest Service LandsWhat 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 "federal lands" 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 "federal lands" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shapefile or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script 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.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  10. a

    Government Land Ownership - Detailed

    • prod-histategis.opendata.arcgis.com
    • opendata.hawaii.gov
    • +3more
    Updated Feb 8, 2014
    + more versions
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    Hawaii Statewide GIS Program (2014). Government Land Ownership - Detailed [Dataset]. https://prod-histategis.opendata.arcgis.com/datasets/HiStateGIS::government-land-ownership-detailed
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    Dataset updated
    Feb 8, 2014
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] Description: Detailed Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL Lands (by TMK parcel) Sources: County of Kauai, April, 2022; City & County of Honolulu, April 27, 2022; County of Maui, April, 2022; County of Hawaii, April, 2022; State Department of Hawaiian Home Lands, October, 2022. This dataset was created using ownership information provided by the counties via tax map key parcel layers and ownership tables. Parcels were queried using the "Owner" field for state, county, and federal agency names. State GIS staff verified land ownership using the online service QPublic, the 2022 Department of Hawaiian Home Lands layer and other GIS layers and resources. Where ownership was still unclear, State GIS personnel reached out to appropriate agencies for clarification. Standardization and Summary fields "ownedby," “majorowner” and “type” were created using additional filters and queries. The parcel boundaries are intended to provide a visual reference only and do not represent legal or survey level accuracy. Attributes are for assessment purposes only and are subject to change at any time.For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/gov_own_detailed.pdf or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  11. State Land Records

    • geodata.dep.state.fl.us
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Nov 1, 2004
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    Florida Department of Environmental Protection (2004). State Land Records [Dataset]. https://geodata.dep.state.fl.us/datasets/state-land-records
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    Dataset updated
    Nov 1, 2004
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    The Florida TIITF Land Records Spatial Index is a document based GIS layer to be displayed as a map comprised of polygons and attributes representing parcels described in deeds, leases, easements and other instruments archived in the Title Archives of the Division of State Lands, Department of Environmental Protection for the Florida Board of Trustees of the Internal Improvement Trust Fund (TIITF). The polygons represent parcels described in the archived TIITF land record documents; this is not a tax map or a representation of current ownership. The data includes acquisitions, dispositions and encumbrances. Selecting a parcel on the map may return information about several different documents associated with that parcel through out the history of State land transactions involving that parcel.

  12. M

    Minnesota Original Public Land Survey Plat Maps, Digital Images,...

    • gisdata.mn.gov
    • data.wu.ac.at
    ags_mapserver, html +1
    Updated Sep 16, 2023
    + more versions
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    Geospatial Information Office (2023). Minnesota Original Public Land Survey Plat Maps, Digital Images, Geo-referenced [Dataset]. https://gisdata.mn.gov/dataset/plan-glo-plat-maps-georef
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    html, jpeg, ags_mapserverAvailable download formats
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    Geospatial Information Office
    Area covered
    Minnesota
    Description

    Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

    The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

    The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

    In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

  13. Surface Ownership Parcels, detailed (Feature Layer)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +7more
    Updated Jul 11, 2025
    + more versions
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    U.S. Forest Service (2025). Surface Ownership Parcels, detailed (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/surface-ownership-parcels-detailed-feature-layer-4c545
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. Metadata

  14. d

    Land Registry Map

    • data.gov.tw
    其他
    Updated Jan 23, 2013
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    Ministry of the Interior Land Surveying and Mapping Center (2013). Land Registry Map [Dataset]. https://data.gov.tw/en/datasets/5967
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    其他Available download formats
    Dataset updated
    Jan 23, 2013
    Dataset authored and provided by
    Ministry of the Interior Land Surveying and Mapping Center
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Taiwan area land office jurisdictional data.......

  15. H

    Government Land Ownership

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +1more
    Updated Dec 15, 2022
    + more versions
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    Government Land Ownership [Dataset]. https://opendata.hawaii.gov/dataset/government-land-ownership
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    arcgis geoservices rest api, pdf, geojson, csv, kml, html, ogc wms, zip, ogc wfsAvailable download formats
    Dataset updated
    Dec 15, 2022
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Description
    [Metadata] Description: Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL Lands
    Sources: County of Kauai, April, 2022; City & County of Honolulu, April 27, 2022; County of Maui, April, 2022; County of Hawaii, April, 2022; State Department of Hawaiian Home Lands, October, 2022.

    This dataset was created using ownership information provided by the counties via tax map key parcel layers and ownership tables. Parcels were queried using the "Owner" field for state, county, and federal agency names. State GIS staff verified land ownership using the online service QPublic, the 2022 Department of Hawaiian Home Lands layer and other GIS layers and resources. Where ownership was still unclear, State GIS personnel reached out to appropriate agencies for clarification. Summary fields “majorowner” and “type” were created using additional filters, queries and analysis tools to summarize the data based upon government ownership sector and type. Also see detailed government ownership layer (gov_own_detailed) which is comprised of government land ownership by TMK parcel.

    The parcel boundaries are intended to provide a visual reference only and do not represent legal or survey level accuracy. Attributes are for assessment purposes only and are subject to change at any time.

    For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/gov_own.pdf or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
  16. Digital Property Maps

    • open.canada.ca
    • datasets.ai
    • +1more
    html
    Updated Jan 9, 2025
    + more versions
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    Government of New Brunswick (2025). Digital Property Maps [Dataset]. https://open.canada.ca/data/en/dataset/56f75efc-3681-34ce-6440-c2c8a8457332
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Government of New Brunswickhttps://www.gnb.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel.

  17. A

    DAHP - Government Land Office maps (GLOs) Trails

    • data.amerigeoss.org
    • geo.wa.gov
    • +2more
    Updated Jul 27, 2019
    + more versions
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    United States[old] (2019). DAHP - Government Land Office maps (GLOs) Trails [Dataset]. https://data.amerigeoss.org/dataset/dahp-government-land-office-maps-glos-trails
    Explore at:
    application/vnd.geo+json, kml, zip, html, csv, jsonAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States[old]
    Description

    Government Land Office maps (GLOs) are a result of the effort to survey all United States public lands before settlement. Starting in 1812 land was divided into square six mile blocks called townships, then subdivided into sections and ranges. Each subdivided area was surveyed and given its own map or GLO. During this process surveyors were required to indicate cultural resources such as roads and Indian trails and standardized symbols were used to represent geographic features. These GLOs are now maintained by the Bureau of Land Management as part of the official Land Status and Cadastral Survey records. As land was divided into parcels of individual ownership additional cadastral survey maps were created over time. For this reason there are often multiple GLOs or "cadastral survey maps" for one township / range, generally numbered one through four. For this seamless GLO layer, DAHP focused solely on the more historical GLOs which were usually listed as image number one or two for that specific township / range in the BLM Cadastral Survey records. In some cases no GLOs were available for review. Such areas included National Forest Lands, National Parks, Indian Reservations, and remote wilderness areas.

  18. WA Parcel and Legal Boundaries

    • geo.wa.gov
    • data-wadnr.opendata.arcgis.com
    • +1more
    Updated Mar 14, 2017
    + more versions
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    Washington State Department of Natural Resources (2017). WA Parcel and Legal Boundaries [Dataset]. https://geo.wa.gov/datasets/1400dcfcc52a4c56ab1301e3c98d426c
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    Dataset updated
    Mar 14, 2017
    Dataset authored and provided by
    Washington State Department of Natural Resourceshttp://www.dnr.wa.gov/
    Area covered
    Description

    For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.The Boundary layer consists of lines representing the boundaries of Parcels and Legal Descriptions. (See the metadata for those two layers.) Boundary lines are the places that are surveyed in order to delimit the extent of Parcels and Legal Descriptions. The character and accuracy of Boundary locations is held in the attributes of the Points that are at the ends of Boundary lines. All the boundaries of Parcels and Legal Descriptions are covered by a Boundary line. Currently the Boundary layer has little functionality. The only distinction it makes is between upland boundaries and shorelines. In the future Boundary lines will have a richer set of attributes in order to accommodate cartographic needs to distinguish between types of boundaries.WA Boundaries Metadata

  19. v

    Virginia Parcels (Map Service)

    • virginiaroads.org
    • data.virginia.gov
    • +2more
    Updated Feb 17, 2018
    + more versions
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    Virginia Department of Transportation (2018). Virginia Parcels (Map Service) [Dataset]. https://www.virginiaroads.org/datasets/virginia-parcels-map-service
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    Dataset updated
    Feb 17, 2018
    Dataset authored and provided by
    Virginia Department of Transportation
    Area covered
    Description

    These parcel boundaries represent legal descriptions of property ownership, as recorded in various public documents in the local jurisdiction. The boundaries are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys. Tax parcel boundaries have not been edge-matched across municipal boundaries.

  20. d

    ORMAP The Oregon Property Tax Map

    • catalog.data.gov
    • data.oregon.gov
    • +1more
    Updated Jun 29, 2025
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    data.oregon.gov (2025). ORMAP The Oregon Property Tax Map [Dataset]. https://catalog.data.gov/dataset/ormap-the-oregon-property-tax-map
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.oregon.gov
    Area covered
    Oregon
    Description

    To access the tax lot layer you will need to contact the county Assessor's office. ORMAP is a statewide digital cadastral base map that is publicly accessible, continually maintained, supports the Oregon property tax system, supports a multi-purpose land information system, strives to comply with appropriate state and national standards, and will continue to be improved over time.

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CAL FIRE (2024). California Land Ownership [Dataset]. https://catalog.data.gov/dataset/california-land-ownership-b6394

California Land Ownership

Explore at:
31 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 27, 2024
Dataset provided by
CAL FIRE
Area covered
California
Description

This dataset was updated April, 2024.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes: Clipping input datasets to the California boundary Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc) Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California. Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only. Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs) In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.Data Sources: GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.htmlData Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

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