29 datasets found
  1. a

    Missoula County Cadastral Data Snapshot June 2022

    • hub.arcgis.com
    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    Updated Jun 3, 2022
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    Montana Geographic Information (2022). Missoula County Cadastral Data Snapshot June 2022 [Dataset]. https://hub.arcgis.com/documents/085f8b219aa34ad8ab962ff4799f82d8
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    Dataset updated
    Jun 3, 2022
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Missoula County
    Description

    Missoula County Cadastral Data ResourcesA snapshot of property and parcel data for July 2022.Department of Revenue Orion SQL property record database provided as both an SQL database and as tables in a file geodatabase.File Geodatabase and Shapefile options for parcel polygon GIS data.Visit the Montana State Library Cadastral MSDI page for more information on cadastral data and Orion property database : MSDI Cadastral (mt.gov)The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdf The parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

  2. d

    Protected Areas Database of the United States (PAD-US)

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 26, 2017
    + more versions
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    US Geological Survey (USGS) Gap Analysis Program (GAP) (2017). Protected Areas Database of the United States (PAD-US) [Dataset]. https://search.dataone.org/view/0459986b-9a0e-41d9-9997-cad0fbea9c4e
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    Dataset updated
    Oct 26, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    US Geological Survey (USGS) Gap Analysis Program (GAP)
    Time period covered
    Jan 1, 2005 - Jan 1, 2016
    Area covered
    United States,
    Variables measured
    Shape, Access, Des_Nm, Des_Tp, Loc_Ds, Loc_Nm, Agg_Src, GAPCdDt, GAP_Sts, GIS_Src, and 20 more
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  3. d

    Land Use and Land Cover - Montana Land Cover Framework 2013

    • datadiscoverystudio.org
    Updated Jan 1, 2002
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    Montana Natural Heritage Program (2002). Land Use and Land Cover - Montana Land Cover Framework 2013 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6d1bbf685ad64a9da37167f15602775a/html
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    Dataset updated
    Jan 1, 2002
    Dataset authored and provided by
    Montana Natural Heritage Program
    Area covered
    Description

    This statewide land cover theme is a baseline digital map of Montana's natural and human land cover. The baseline map is adapted from the Northwest ReGAP project land cover classification, which used 30m resolution multi-spectral satellite imagery acquired from 2002 through 2005. Vegetation classes were drawn from the Ecological System Classification developed by NatureServe (Comer et al. 2003). The land cover classes were developed by Anderson et al. (1976). The NWGAP effort encompasses 12 map zones. Montana overlaps seven of these zones. The two NWGAP teams responsible for the initial land cover mapping effort in Montana were Sanborn and NWGAP at the University of Idaho. Both Sanborn and NWGAP employed a similar modeling approach in which Classification and Regression Tree (CART) models were applied to Landsat ETM+ scenes. The Spatial Analysis Lab within the Montana Natural Heritage Program was responsible for developing a seamless Montana land cover map with a consistent statewide legend from these two separate products. Additionally, the Montana land cover layer incorporates several other land cover and land use products (e.g., the National Land Cover Dataset, the National Wetlands Inventory, the National Hydrography Dataset, MSDI Structures and Transportation themes, and the MT. Dept of Revenue Final Land Unit classification) and reclassifications based on plot-level data and NAIP imagery to improve accuracy and enhance the usability of the theme. Additional updates to improve the accuracy are conducted on an annual basis. New MSDI Land Cover themes will be made available through the Montana GIS Portal, hosted by Natural Resource Information System (NRIS) on an annual basis. Additionally, previous versions will be archived and available through the Montana GIS Portal. This version was last updated May 2013.

  4. b

    Conservation Easements

    • gallatinvalleyplan.bozeman.net
    Updated May 12, 2023
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    Bozeman GIS Community (2023). Conservation Easements [Dataset]. https://gallatinvalleyplan.bozeman.net/datasets/bzn-community::conservation-easements/about
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    Dataset updated
    May 12, 2023
    Dataset authored and provided by
    Bozeman GIS Community
    Area covered
    Description

    Montana lands with conservation easements. This layer shows private lands parcels on which a public agency or qualified Land Trust has placed a Conservation Easement in cooperation with the land owner. According to State Law (Montana Code Annotated 76-6-207) easements must be recorded in the county where the land lies. The county clerk and recorder shall provide a copy of the conservation easement to the Department of Revenue office in that county within 30 days. The Montana Department of Revenue updates this dataset typically once a month.

    Map features in this data set are not intended as a legal depiction of public or private surface land ownership boundaries and should not be used in place of a survey conducted by a licensed land surveyor. The data are derived from the Montana Cadastral parcel layer.


    Connectivity Model Methods:
    1. Extracts each layer except the Park Maintenance layer only within the study area (3 intersections). 2. Combines conservation easement data from Gallatin County, conservation easement data from the Montana State Library, managed areas, and park maintenance layers into one layer without overlap through three unions. 3. Adds an empty field for the protected lands score. 4. Calculates a score in the protected lands score field from 1 (lowest) to 3 (highest) for each attribute as described in the attribute selection column.

    Conservation Easement Acres Indicator: This model also calculates acreage of conservation easements by using the results of the union of the two easements layer as an input. These tools 1. Calculate acreage of all polygons. 2. Exports attribute table of input to excel.

    Managed Lands Acres Indicator:
    This model also calculates acreage of managed lands by using the results of the union of the managed lands and the dedicated parks and open spaces, using the same process as the conservation easements indicator calculation.

  5. a

    Montana Conservation Easements

    • hub.arcgis.com
    Updated Mar 8, 2024
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    Montana Conservation Easements [Dataset]. https://hub.arcgis.com/datasets/f161a98b347b4cf29d371a6d7697912a
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    Dataset updated
    Mar 8, 2024
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Description

    The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of updated counties.Parcel boundaries are aligned to the Bureau of Land Management Geographic Coordinate Database (GCDB). Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.This feature service is available for offline use. Data update processes require the Montana State Library to delete replicas created for offline use monthly, which will require users to recreate offline map areas. Users will see an “Update Failed” message when trying to sync to a replica that has been deleted.

  6. a

    Moose 2024-2025 Hunting District Landcover and Land Ownership Calculations

    • gis-mtfwp.hub.arcgis.com
    Updated Mar 2, 2024
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    MtFishWildlifeParks (2024). Moose 2024-2025 Hunting District Landcover and Land Ownership Calculations [Dataset]. https://gis-mtfwp.hub.arcgis.com/documents/e3af47faa19b4e4480450ec3e5cf446b
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    Dataset updated
    Mar 2, 2024
    Dataset authored and provided by
    MtFishWildlifeParks
    Description

    Moose 2024-2025 Hunting District Landcover and Land Ownership Calculations. Percentage and area estimates included for both landcover types and land ownership categories.

  7. d

    Restricted Access Federal Lands in Western North America

    • search.dataone.org
    • datadiscoverystudio.org
    Updated Dec 1, 2016
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    USGS, Snake River Field Station, Sage-grouse Rangewide Conservation Assessment Project (comp.) (2016). Restricted Access Federal Lands in Western North America [Dataset]. https://search.dataone.org/view/6907b149-a433-4bc8-bef9-8b601a91fda9
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    USGS, Snake River Field Station, Sage-grouse Rangewide Conservation Assessment Project (comp.)
    Area covered
    Variables measured
    FID, Shape, CA_OWN, SOURCE, PUB_PVT
    Description

    This data set depicts federal lands having restrictions on access or activities -- that is, lands mangaed by the National Park Service, Defense Department, or Energy Department -- in western North America. The data set was created by reformatting and merging state- and province-based ownership data layers originally acquired from diverse sources (including state GAP programs, USBLM state offices and other sources). For each original dataset 3 additional fields, "Pub_Pvt", "CA_OWN", and "SOURCE" were added and populated based on the specific ownership information contained in the source data. The original coverages were then merged based on the "CA_OWN" field. Finally, NPS, DOD, and DOE lands were selected out of the ownership layer. All work was completed in AcMap 8.3. This product and all source data are available online from SAGEMAP: http://sagemap.wr.usgs.gov.

  8. a

    Montana Parcel Earliest Build Year

    • ceic-mtdoc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 14, 2023
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    Montana Department of Commerce (2023). Montana Parcel Earliest Build Year [Dataset]. https://ceic-mtdoc.opendata.arcgis.com/datasets/montana-parcel-earliest-build-year/about
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    Dataset updated
    Feb 14, 2023
    Dataset authored and provided by
    Montana Department of Commerce
    Area covered
    Description

    Montana Parcel and Structures by Build YearThe density of property development varies across time and space within the State of Montana. This map highlights areas developed recently and areas developed long ago. The Montana Department of Revenue (DOR) maintains property tax information for every parcel owned in the State of Montana. For property tax purposes, parcels are classified as residential, commercial, farmland, tax exempt and many more property types. The points on this map display the location of structures with parcel information from the property tax database. There is currently no way to identify the build year for individual structures. This requires that all structures within a parcel are assigned the same parcel information. This map is focused on parcels with buildings and includes Residential Dwellings, Commercial Buildings and Other Buildings. Two primary attributes in this point layer display different aspects of each parcel.1. Earliest Build Year (YearBuiltMin) - The earliest year built for all residential dwellings and commercial buildings within a parcel. If a parcel has more than one building the earliest build year of any building in the parcel is assigned to YearBuiltMin. 2. Total Value - Total Building value plus Total Land value for each parcel. This is the assessed property tax value and not the market value of the property.Map compiled by Montana Department of Commerce. Property tax information from Montana Department of Revenue. Parcel boundaries, reservations, conservation easements, and public lands from Montana State Library. Imagery from ESRI.Tax Year: 2025Last Updated: 2/13/2025

  9. a

    Montana Parcels

    • hub.arcgis.com
    Updated Mar 8, 2024
    + more versions
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    Montana Geographic Information (2024). Montana Parcels [Dataset]. https://hub.arcgis.com/datasets/montana::montana-cadastral-framework/explore?layer=1&showTable=true
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    Dataset updated
    Mar 8, 2024
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Description

    The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdfThe parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

  10. d

    U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2.

    • datadiscoverystudio.org
    • data.globalchange.gov
    • +3more
    Updated May 21, 2018
    + more versions
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    (2018). U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/5943529b1b9043a397058fffe2a2440a/html
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    Dataset updated
    May 21, 2018
    Description

    description: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer; abstract: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

  11. d

    Land use and land cover and associated maps for Glendive, Montana; North...

    • datadiscoverystudio.org
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    Land use and land cover and associated maps for Glendive, Montana; North Dakota [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f439f5a4ffaf47a78f0fb47c53970b96/html
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    Area covered
    Description

    no abstract provided

  12. d

    Land use and land cover and associated maps for Gillette, Montana; Wyoming,...

    • datadiscoverystudio.org
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    Land use and land cover and associated maps for Gillette, Montana; Wyoming, South Dakota [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3c54d833434c4757b6eff90378e5c4e4/html
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    Area covered
    Description

    no abstract provided

  13. BLM Montana Dakotas Oil and Gas Leases 2021 Polygon

    • catalog.data.gov
    • gbp-blm-egis.hub.arcgis.com
    Updated Nov 20, 2024
    + more versions
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    Bureau of Land Management (2024). BLM Montana Dakotas Oil and Gas Leases 2021 Polygon [Dataset]. https://catalog.data.gov/dataset/blm-montana-dakotas-oil-and-gas-leases-2021-polygon
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    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM) Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status. Assistance from the Bureau of Indian Affairs is used to find Indian Mineral/Lease status. BLM Field Office with Oil and Gas responsibilities (Great Falls, Miles City, or North Dakota) provide final review of data.

  14. a

    South Side, Mt. Oliver, Mt Lebenon

    • hub.arcgis.com
    Updated Feb 16, 2018
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    ArcGIS Living Atlas Team (2018). South Side, Mt. Oliver, Mt Lebenon [Dataset]. https://hub.arcgis.com/maps/arcgis-content::south-side-mt-oliver-mt-lebenon
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    Dataset updated
    Feb 16, 2018
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    About the G.M. Hopkins Maps History and Background of the Maps Maps produced by the G.M. Hopkins Company have made a lasting impression on the boundaries of many American cities. Between 1870 and 1940, the company produced over 175 atlases and real estate plat maps that primarily covered the Eastern sea board, including cities, counties, and townships in 18 different states and the District of Columbia. In the early years, the company produced county atlases, but gradually focused on city plans and atlases. They were among the first publishers to create a cadastral atlas, a cross between a fire insurance plat and a county atlas prevalent in the 1860s-1870s. These real estate or land ownership maps (also known as plat maps) not only depict property owners, but show lot and block numbers, dimensions, street widths, and other buildings and landmarks, including churches, cemeteries, mills, schools, roads, railroads, lakes, ponds, rivers, and streams. Originally named the G.M. Hopkins and Company, the map-making business was jointly founded in 1865 in Philadelphia, Pa., by the Hopkins brothers, G.M. and Henry. The true identity of G.M. Hopkins remains somewhat of a mystery even today. “G.M.” either stands for Griffith Morgan or George Morgan. There are three different possibilities for the confusion over his identity. “Either the compilers of the earlier [city] directories were negligent; G.M. Hopkins changed his first name; or there were two G.M. Hopkins (father and son) working for the same firm” (Moak, Jefferson M. Philadelphia Mapmakers. Philadelphia: Shackamaxon Society, 1976, p. 258).

    http://digital.library.pitt.edu/abouthp/#hopkins

  15. f

    Land cover area totals for MT.

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Land cover area totals for MT. [Dataset]. https://plos.figshare.com/articles/dataset/Land_cover_area_totals_for_MT_/4950635
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jude H. Kastens; J. Christopher Brown; Alexandre Camargo Coutinho; Christopher R. Bishop; Júlio César D. M. Esquerdo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Land cover area totals for MT.

  16. a

    Carbon County Cadastral Data Snapshot June 2022

    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    • hub.arcgis.com
    Updated Jun 3, 2022
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    Montana Geographic Information (2022). Carbon County Cadastral Data Snapshot June 2022 [Dataset]. https://montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com/documents/montana::carbon-county-cadastral-data-snapshot-june-2022/about
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    Dataset updated
    Jun 3, 2022
    Dataset authored and provided by
    Montana Geographic Information
    Description

    Carbon County Cadastral Data ResourcesA snapshot of property and parcel data for June 2022.Department of Revenue Orion SQL property record database provided as both an SQL database and as tables in a file geodatabase.File Geodatabase and Shapefile options for parcel polygon GIS data.Visit the Montana State Library Cadastral MSDI page for more information on cadastral data and Orion property database : MSDI Cadastral (mt.gov)The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdf The parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

  17. a

    Antelope 2024-2025 Hunting District Landcover and Land Ownership...

    • gis-mtfwp.hub.arcgis.com
    Updated Mar 2, 2024
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    MtFishWildlifeParks (2024). Antelope 2024-2025 Hunting District Landcover and Land Ownership Calculations [Dataset]. https://gis-mtfwp.hub.arcgis.com/documents/8e8466fe860c4b78a407b80d5d34cb11
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    Dataset updated
    Mar 2, 2024
    Dataset authored and provided by
    MtFishWildlifeParks
    Description

    Antelope 2024-2025 Hunting District Landcover and Land Ownership Calculations. Percentage and area estimates included for both landcover types and land ownership categories.

  18. a

    Treasure County Cadastral Data Snapshot June 2022

    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    Updated Jun 3, 2022
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    Montana Geographic Information (2022). Treasure County Cadastral Data Snapshot June 2022 [Dataset]. https://montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com/documents/montana::treasure-county-cadastral-data-snapshot-june-2022/about
    Explore at:
    Dataset updated
    Jun 3, 2022
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Treasure County
    Description

    Treasure County Cadastral Data ResourcesA snapshot of property and parcel data for June 2022.Department of Revenue Orion SQL property record database provided as both an SQL database and as tables in a file geodatabase.File Geodatabase and Shapefile options for parcel polygon GIS data.Visit the Montana State Library Cadastral MSDI page for more information on cadastral data and Orion property database : MSDI Cadastral (mt.gov)The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdf The parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

  19. a

    Park County Cadastral Data Snapshot June 2022

    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    • hub.arcgis.com
    Updated Jun 3, 2022
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    Montana Geographic Information (2022). Park County Cadastral Data Snapshot June 2022 [Dataset]. https://montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com/documents/d6ff567a4b7c4b379570ee0ecbd44f80
    Explore at:
    Dataset updated
    Jun 3, 2022
    Dataset authored and provided by
    Montana Geographic Information
    Description

    Park County Cadastral Data ResourcesA snapshot of property and parcel data for June 2022.Department of Revenue Orion SQL property record database provided as both an SQL database and as tables in a file geodatabase.File Geodatabase and Shapefile options for parcel polygon GIS data.Visit the Montana State Library Cadastral MSDI page for more information on cadastral data and Orion property database : MSDI Cadastral (mt.gov)The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdf The parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

  20. a

    Sweet Grass County Cadastral Data Snapshot June 2022

    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    • hub.arcgis.com
    Updated Jun 3, 2022
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    Montana Geographic Information (2022). Sweet Grass County Cadastral Data Snapshot June 2022 [Dataset]. https://montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com/documents/b2b246d5ac8644a49489045cadd32043
    Explore at:
    Dataset updated
    Jun 3, 2022
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Sweet Grass County
    Description

    Sweet Grass County Cadastral Data Resources, a snapshot of property and parcel data for June 2022.Department of Revenue Orion SQL property record database provided as both an SQL database and as tables in a file geodatabase.File Geodatabase and Shapefile options for parcel polygon GIS data.Visit the Montana State Library Cadastral MSDI page for more information on cadastral data and Orion property database : MSDI Cadastral (mt.gov)The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdf The parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

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Montana Geographic Information (2022). Missoula County Cadastral Data Snapshot June 2022 [Dataset]. https://hub.arcgis.com/documents/085f8b219aa34ad8ab962ff4799f82d8

Missoula County Cadastral Data Snapshot June 2022

Explore at:
Dataset updated
Jun 3, 2022
Dataset authored and provided by
Montana Geographic Information
Area covered
Missoula County
Description

Missoula County Cadastral Data ResourcesA snapshot of property and parcel data for July 2022.Department of Revenue Orion SQL property record database provided as both an SQL database and as tables in a file geodatabase.File Geodatabase and Shapefile options for parcel polygon GIS data.Visit the Montana State Library Cadastral MSDI page for more information on cadastral data and Orion property database : MSDI Cadastral (mt.gov)The Montana Cadastral Framework shows the taxable parcels and tax-exempt parcels for most of Montana. The parcels contain selected information such as owner names, property and owner addresses, assessed value, agricultural use, and tax district information that were copied from the Montana Department of Revenue's ORION tax appraisal database. The data are maintained by the MT Department of Revenue, except for Ravalli, Silver Bow, Missoula, Flathead and Yellowstone counties that are maintained by the individual counties. The Revenue and county data are integrated by Montana State Library staff. Each parcel contains an attribute called ParcelID (geocode) that is the parcel identifier. View a pdf map of the counties that were updated this month here: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Cadastral/Parcels/Statewide/MonthlyCadastralUpdateMap.pdf The parcel boundaries were aligned to fit with the Bureau of Land Management Geographic Coordinate Database (GCDB) of public land survey coordinates. Parcels whose legal descriptions consisted of aliquot parts of the public land survey system were created from the GCDB coordinates by selecting and, when necessary, subdividing public land survey entities. Other parcels were digitized from paper maps and the data from each map were transformed to fit with the appropriate GCDB boundaries.

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