59 datasets found
  1. d

    Historical Land Development Story Map

    • catalog.data.gov
    • data.brla.gov
    • +1more
    Updated Jun 29, 2025
    + more versions
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    data.brla.gov (2025). Historical Land Development Story Map [Dataset]. https://catalog.data.gov/dataset/historical-land-development-story-map
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.brla.gov
    Description

    Baton Rouge's unique past has shaped the city that we live in today. The layout of the city's streets, the arrangement of prominent government and religious structures, the clustering of businesses, the distribution of residential neighborhoods, and the placement of parks and schools all speak to the long term processes of urban growth. Society invests tremendous effort in creating its urban centers and citizens develop attachments to those places. It is the investment of human effort that stimulates a sense of place and allows individuals to develop strong feelings about their home city. Sense of place is constantly reinforced by contact with the common, everyday landscapes that surround us. In Baton Rouge, the two principal university campuses, the state government complex, along with various historic neighborhoods and structures all stand as perpetual reminders of the city's past. Many familiar and, at the same time, unique landscape features of Baton Rouge shape our sense of place. Much has been written about the distinctive buildings that come to mind when Baton Rouge is mentioned, but what of the larger districts and neighborhoods? Residents generally are most familiar with their immediate surroundings or those places where they work and play and these surroundings ofter constitute more than a building or two. Children comprehend their immediate neighborhoods and those who move about a city come to know and develop ideas about the city's larger units. Geographers and planners like to think of cities in terms of these larger assemblages

  2. a

    Historic Land Development

    • data-ebrgis.opendata.arcgis.com
    • newgis.brla.gov
    Updated Dec 3, 2024
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    East Baton Rouge GIS Map Portal (2024). Historic Land Development [Dataset]. https://data-ebrgis.opendata.arcgis.com/datasets/historic-land-development-1
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Description

    Baton Rouge's unique past has shaped the city that we live in today. The layout of the city's streets, the arrangement of prominent government and religious structures, the clustering of businesses, the distribution of residential neighborhoods, and the placement of parks and schools all speak to the long term processes of urban growth. Society invests tremendous effort in creating its urban centers and citizens develop attachments to those places. It is the investment of human effort that stimulates a sense of place and allows individuals to develop strong feelings about their home city. Sense of place is constantly reinforced by contact with the common, everyday landscapes that surround us. In Baton Rouge, the two principal university campuses, the state government complex, along with various historic neighborhoods and structures all stand as perpetual reminders of the city's past. Many familiar and, at the same time, unique landscape features of Baton Rouge shape our sense of place.

  3. Statewide Crop Mapping

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    data, gdb, html +3
    Updated Mar 3, 2025
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    California Department of Water Resources (2025). Statewide Crop Mapping [Dataset]. https://data.cnra.ca.gov/dataset/statewide-crop-mapping
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    gdb(86655350), shp(126828193), shp(107610538), gdb(86886429), shp(126548912), gdb(76631083), data, zip(88308707), zip(98690638), html, zip(94630663), zip(169400976), rest service, zip(159870566), zip(144060723), zip(189880202), zip(140021333), zip(179113742), gdb(85891531)Available download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Description

    NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024.

    Thank you for your interest in DWR land use datasets.

    The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023.

    Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer.

    For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys.

    For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys.

    For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

    Recommended citation for DWR land use data: California Department of Water Resources. (Water Year for the data). Statewide Crop Mapping—California Natural Resources Agency Open Data. Retrieved “Month Day, YEAR,” from https://data.cnra.ca.gov/dataset/statewide-crop-mapping.

  4. e

    CoC Story Map Article - full version

    • erwp.org
    Updated Apr 12, 2021
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    erwpeditor (2021). CoC Story Map Article - full version [Dataset]. https://www.erwp.org/documents/02072a81a4ef483eb5b5f4689fa38dcc
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    Dataset updated
    Apr 12, 2021
    Dataset authored and provided by
    erwpeditor
    Description

    In 2013, Calgary City Council approved a Riparian Strategy, outlining a high level framework with a vision, principles, and strategies for protecting our riparian areas. From that strategy came the Riparian Action Program (RAP), a 10-year implementation plan for protecting, restoring and raising awareness about Calgary’s river areas. The RAP takes an integrated approach including land use planning, restoration and monitoring, and education and outreach. The program is part of the City’s integrated water management approach and contributes to our goal of healthy rivers and watersheds

  5. g

    Statewide Crop Mapping | gimi9.com

    • gimi9.com
    Updated Mar 3, 2025
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    (2025). Statewide Crop Mapping | gimi9.com [Dataset]. https://gimi9.com/dataset/california_statewide-crop-mapping
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    Dataset updated
    Mar 3, 2025
    Description

    NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025 and a notice was posted on the shapefile download site. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024. Thank you for your interest in DWR land use datasets. The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023. Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer. For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys. For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys. For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

  6. USA Bureau of Land Management Lands

    • colorado-river-portal.usgs.gov
    • crb-open-data-usgs.hub.arcgis.com
    • +3more
    Updated Feb 14, 2018
    + more versions
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    Esri (2018). USA Bureau of Land Management Lands [Dataset]. https://colorado-river-portal.usgs.gov/datasets/eb2c541a2ce24627a497e0f5887ff13d
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    Dataset updated
    Feb 14, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    One-eighth of the United States (247.3 million acres) is managed by the Bureau of Land Management. As part of the Department of the Interior, the agency oversees the 30 million acre National Landscape Conservation System, a collection of lands that includes 221 wilderness areas, 23 national monuments and 636 other protected areas. Bureau of Land Management Lands contain over 63,000 oil and gas wells and provide forage for over 18,000 grazing permit holders on 155 million acres of land. Dataset SummaryPhenomenon Mapped: United States lands managed by the Bureau of Land ManagementGeographic Extent: Contiguous United States and AlaskaData Coordinate System: WGS 1984Visible Scale: The data is visible at all scales but draws best at scales larger than 1:2,000,000.Source: BLM Surface Management Agency layer, Rasterized by Esri from features May 2025.Publication Date: December 2024This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Bureau of Land Management lands. For more information on layers for other agencies see the USA Federal Lands layer.What 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 "bureau of land management" 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 "bureau of land management" 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 shape file 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.

  7. a

    Protected Map (Managed Forest Code 20)

    • hub.arcgis.com
    • geoportal.gov.mb.ca
    Updated Jul 21, 2018
    + more versions
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    Manitoba Maps (2018). Protected Map (Managed Forest Code 20) [Dataset]. https://hub.arcgis.com/maps/db0d56585cab42a68f01e4c1640182f9
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    Dataset updated
    Jul 21, 2018
    Dataset authored and provided by
    Manitoba Maps
    Area covered
    Description

    Protected map (managed forest code 20) used in the Story Map of Forest Management in Canada, 2017.Protected areas were identified using the Canadian Council on Ecological Areas CARTS geodatabase. All IUCN Category Ia through VI protected areas in Canada were classified as Protected (CCEA 2008) with only a few exceptions.Source: This web map shows the protected areas used in the map of forest management in Canada, 2017 and includes the following tiled layer:Protected (Managed Forest Code 20)Data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

  8. a

    Spotlight Community: Salisbury

    • 2023-mdot-attainment-report-by-the-numbers-maryland.hub.arcgis.com
    Updated Jul 28, 2015
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    awendland_AyersSaintGross (2015). Spotlight Community: Salisbury [Dataset]. https://2023-mdot-attainment-report-by-the-numbers-maryland.hub.arcgis.com/items/48951548eb01402cbabd0765ac17b57b
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    Dataset updated
    Jul 28, 2015
    Dataset authored and provided by
    awendland_AyersSaintGross
    Description

    City leaders are focusing attention on Salisbury’s downtown, seeking ways to redevelop strategic areas with a dynamic mix of projects. The Mayor’s Office, along with the City Council, is spearheading ways to revive the downtown of the Eastern Shore’s largest city.

    The Maryland Department of Planning (MDP), supporting Salisbury’s efforts, convened a meeting of state agency heads in October to outline potential support for downtown revitalization. See Secretary Richard E. Hall’s October 28, 2013 letter to the editor, “Richard E. Hall’s opinion: Salisbury, Wicomico poised to grow strategically,” published in the Salisbury Daily Times. State agencies like the Department of Housing and Community Development can provide community revitalization funding through a variety of programs, and MDP can provide technical assistance with land-use planning.

    Check out the map online: Bit.ly/Salisbury_StoryMapThe StoryMap was created by Andrew Bernish for the Maryland Department of Planning. Andrew currently works for Ayers Saint Gross.

  9. c

    City-Owned Industrial Lands

    • opendatakingston.cityofkingston.ca
    Updated Oct 28, 2015
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    The City of Kingston (2015). City-Owned Industrial Lands [Dataset]. https://opendatakingston.cityofkingston.ca/datasets/city-owned-industrial-lands
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    Dataset updated
    Oct 28, 2015
    Dataset authored and provided by
    The City of Kingston
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    City-owned industrial lands, also known as employment lands, play a vital role in local economic development and job creation. The City of Kingston ensures the availability of shovel-ready industrial land for immediate development and secures land for future growth. City-owned industrial lands are located in four well-planned and fully-serviced business parks that have state-of-the-art infrastructure. These lands are zoned to allow a variety of businesses ranging from general and prestige industrial uses to limited commercial and service-related uses. A wide selection of parcels of various sizes is available.This story map guides users through the City's four business and industrial parks, highlighting available lots and providing details and sketches for each. For contact information, see the Kingston Economic Development Corporation's Business Parks page.

  10. a

    Tile Layer of Canada's Forested or Treed Areas, 2017

    • catalogue.arctic-sdi.org
    • data.urbandatacentre.ca
    • +3more
    Updated May 12, 2025
    + more versions
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    (2025). Tile Layer of Canada's Forested or Treed Areas, 2017 [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?keyword=Story%20Map
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    Dataset updated
    May 12, 2025
    Area covered
    Canada
    Description

    Tile layer of Canada's managed forested or treed areas and water used in the Story Map of Forest Management in Canada, 2017. This tiled layer data represents Canada's forested areas (& water) used in the Story Map of Forest Management in Canada, 2017. Canada's forest management classification map classifies all land and inland water areas. It does not differentiate forest areas from non-forest areas. Treed areas can be identified using a separate map layer that was derived using satellite data. Treed areas were used as a proxy for forested areas having a canopy closure of 25% or greater and a tree height of 5 m or greater. Source: Data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

  11. Data from: World Terrestrial Ecosystems

    • gisnation-sdi.hub.arcgis.com
    • pacificgeoportal.com
    • +8more
    Updated Apr 2, 2020
    + more versions
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    Esri (2020). World Terrestrial Ecosystems [Dataset]. https://gisnation-sdi.hub.arcgis.com/datasets/esri::world-terrestrial-ecosystems
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    Dataset updated
    Apr 2, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    The World Terrestrial Ecosystems map classifies the world into areas of similar climate, landform, and land cover, which form the basic components of any terrestrial ecosystem structure. This map is important because it uses objectively derived and globally consistent data to characterize the ecosystems at a much finer spatial resolution (250-m) than existing ecoregionalizations, and a much finer thematic resolution (431 classes) than existing global land cover products. This item was updated on Apr 14, 2023 to distinguish between Boreal and Polar climate regions in the terrestrial ecosystems. Cell Size: 250-meter Source Type: ThematicPixel Type: 16 Bit UnsignedData Projection: GCS WGS84Extent: GlobalSource: USGS, The Nature Conservancy, EsriUpdate Cycle: NoneWhat can you do with this layer?This map allows you to query the land surface pixels and returns the values of all the input parameters (landform type, landcover/vegetation type, climate region) and the name of the terrestrial ecosystem at that location.This layer can be used in analysis at global and local regions. However, for large scale spatial analysis, we have also provided an ArcGIS Pro Package that contains the original raster data with multiple table attributes. For simple mapping applications, there is also a raster tile layer. This layer can be combined with the World Protected Areas Database to assess the types of ecosystems that are protected, and progress towards meeting conservation goals. The WDPA layer updates monthly from the United Nations Environment Programme.Developing the World Terrestrial EcosystemsWorld Terrestrial Ecosystems map was produced by adopting and modifying the Intergovernmental Panel on Climate Change (IPCC) approach on the definition of Terrestrial Ecosystems and development of standardized global climate regions using the values of environmental moisture regime and temperature regime. We then combined the values of Global Climate Regions, Landforms and matrix-forming vegetation assemblage or land use, using the ArcGIS Combine tool (Spatial Analyst) to produce World Ecosystems Dataset. This combination resulted of 431 World Ecosystems classes.Each combination was assigned a color using an algorithm that blended traditional color schemes for each of the three components. Every pixel in this map is symbolized by a combination of values for each of these fields.The work from this collaboration is documented in the publication:Sayre et al. 2020. An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems - Global Ecology and Conservation More information about World Terrestrial Ecosystems can be found in this Story Map.

  12. g

    Canada's Forested Areas Classification Map, 2017

    • geoportal.gov.mb.ca
    • hub.arcgis.com
    Updated Feb 24, 2019
    + more versions
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    Manitoba Maps (2019). Canada's Forested Areas Classification Map, 2017 [Dataset]. https://geoportal.gov.mb.ca/maps/a1a7bf946d4c41f49c2e53942fe039c7
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    Dataset updated
    Feb 24, 2019
    Dataset authored and provided by
    Manitoba Maps
    Area covered
    Canada,
    Description

    Canada's forest management classification map classifies all land and inland water areas. It does not differentiate forest areas from non-forest areas. Treed areas can be identified using a separate map layer that was derived using satellite data. Treed areas were used as a proxy for forested areas having a canopy closure of 25% or greater and a tree height of 5 m or greater. Source: This web map shows Canada's forested areas used in the Story Map of Forest Management in Canada, 2017 and includes the following tiled layer:Canada's Forested or Treed Areas, 2017Data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

  13. Tongass - Prince of Wales Island - Vegetation Mapping Project Story Map

    • alaska-region-usfs.hub.arcgis.com
    Updated Jul 17, 2019
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    U.S. Forest Service (2019). Tongass - Prince of Wales Island - Vegetation Mapping Project Story Map [Dataset]. https://alaska-region-usfs.hub.arcgis.com/datasets/tongass-prince-of-wales-island-vegetation-mapping-project-story-map
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    Dataset updated
    Jul 17, 2019
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Prince of Wales Island
    Description

    This application was created to support the Mapping Existing Vegetation on Prince of Wales Island story map.The Prince of Wales Existing Vegetation mapping project encompasses over 4.2 million acres of Southeastern Alaska—2.3 million of which are terrestrial. This map was designed to be consistent with the standards established in the Existing Vegetation Classification and Technical Guide (Nelson et al. 2015), and to provide baseline information to support project planning and inform land management of the Prince of Wales and surrounding islands. The final map comprises seven distinct, integrated feature layers: 1) vegetation type; 2) tree canopy cover; 3) trees per acre (TPA) for trees ≥ 1’ tall; 4) trees per acre for trees ≥ 6” diameter at breast height (dbh); 5) quadratic mean diameter (QMD) for trees ≥ 2” dbh; 6) quadratic mean diameter for trees ≥ 9” dbh; and 7) thematic tree size. The dominance type map consists of 18 classes, including 15 vegetation classes and 3 other land cover types. Continuous tree canopy cover, TPA, QMD, and thematic tree size was developed for areas classified as forest on the final vegetation type map layer. Geospatial data, including remotely sensed imagery, topographic data, and climate information, were assembled to classify vegetation and produce the maps. A semi-automated image segmentation process was used to develop the modeling units (mapping polygons), which delineate homogeneous areas of land cover. Field plots containing thematic vegetation type and tree size information were used as reference for random forest prediction models. Important model drivers included 30 cm orthoimagery collected during the height of the 2019 growing season, in addition to Sentinel 2 and Landsat 8 satellite imagery, for vegetation type prediction. Additionally, detailed tree inventory data were collected at precise field locations to develop forest metrics for Quality Level 1 (QL1) Light Detection and Ranging (LiDAR) data. LiDAR information was acquired across approximately 80% of the project’s land area. Continuous tree canopy cover and 2nd order forest metrics (TPA and QMD) were modeled across the LiDAR coverage area, and subsequently, extrapolated to the full project extent using Interferometric Synthetic Aperture Radar (IfSAR) as the primary topographic data source.

  14. p

    Pacific Region Terrestrial Ecosystems

    • pacificgeoportal.com
    • digital-earth-pacificcore.hub.arcgis.com
    • +2more
    Updated Sep 19, 2023
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    Pacific GeoPortal - Core Organization (2023). Pacific Region Terrestrial Ecosystems [Dataset]. https://www.pacificgeoportal.com/maps/pacificcore::pacific-region-terrestrial-ecosystems/about
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    Dataset updated
    Sep 19, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    Area covered
    Description

    This map is the subset of the World Terrestrial Ecosystems map, prepared specifcally for the Pacific Region. The World Terrestrial Ecosystems map classifies the world into areas of similar climate, landform, and land cover, which form the basic components of any terrestrial ecosystem structure. This map is important because it uses objectively derived and globally consistent data to characterize the ecosystems at a much finer spatial resolution (250-m) than existing ecoregionalizations, and a much finer thematic resolution (431 classes) than existing global land cover products.Cell Size: 250-meter Source Type: ThematicPixel Type: 16 Bit UnsignedData Projection: GCS WGS84Extent: GlobalSource: USGS, The Nature Conservancy, EsriUpdate Cycle: NoneWhat can you do with this layer?This map allows you to query the land surface pixels and returns the values of all the input parameters (landform type, landcover/vegetation type, climate region) and the name of the terrestrial ecosystem at that location.This layer can be used in analysis at global and local regions. However, for large scale spatial analysis, we have also provided an ArcGIS Pro Package that contains the original raster data with multiple table attributes. For simple mapping applications, there is also a raster tile layer. This layer can be combined with the World Protected Areas Database to assess the types of ecosystems that are protected, and progress towards meeting conservation goals. The WDPA layer updates monthly from the United Nations Environment Programme.Developing the World Terrestrial EcosystemsWorld Terrestrial Ecosystems map was produced by adopting and modifying the Intergovernmental Panel on Climate Change (IPCC) approach on the definition of Terrestrial Ecosystems and development of standardized global climate regions using the values of environmental moisture regime and temperature regime. We then combined the values of Global Climate Regions, Landforms and matrix-forming vegetation assemblage or land use, using the ArcGIS Combine tool (Spatial Analyst) to produce World Ecosystems Dataset. This combination resulted of 431 World Ecosystems classes.Each combination was assigned a color using an algorithm that blended traditional color schemes for each of the three components. Every pixel in this map is symbolized by a combination of values for each of these fields.The work from this collaboration is documented in the publication:Sayre et al. 2020. An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems - Global Ecology and Conservation More information about World Terrestrial Ecosystems can be found in this Story Map.

  15. Geospatial data for the Vegetation Mapping Inventory Project of...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jun 5, 2024
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    National Park Service (2024). Geospatial data for the Vegetation Mapping Inventory Project of Saint-Gaudens National Historic Site [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-saint-gaudens-national-his
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Following the development of the vegetation classification, the vegetation map was further edited and refined in 2005 to develop an association-level vegetation map. Using ArcGIS 9.0, polygon boundaries were revised onscreen based on the plot data and additional informal field observations collected while in the field during plot sampling. Field notes and limited field mapping supplemented the GIS mapping. Given the large amount of time used in gathering plot data, further ground-truthing was minimal. Each polygon was attributed with the name of a USNVC association or a land use/land cover map class based on plot data, field observations, aerial photography signatures, and topographic maps. The vegetation is mapped to the association level with one exception—because of their small size and interdigitization on the landscape, three of the herbaceous wetland communities, Bluejoint Wet Meadow (CEGL005174), Medium-depth Emergent Marsh (CEGL006519), and Cattail Marsh (CEGL006513) were mapped as a single map class: the Emergent Marsh - Shrub Swamp System. The Enriched Hardwood Forest Seeps, small occurrences within upland forests that are distinguished by their herb flora, are less than the minimum mapping unit (0.5 ha) and were not mapped. The shapefile was projected in Universal Transverse Mercator (UTM) Zone 18 North, North American Datum (NAD) 1983.

  16. G

    Private Map (Managed Forest Code 50)

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html
    Updated Feb 5, 2025
    + more versions
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    Government of Manitoba (2025). Private Map (Managed Forest Code 50) [Dataset]. https://ouvert.canada.ca/data/dataset/240038f4-3108-8b0e-86d7-20e6f654c92e
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    htmlAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Government of Manitoba
    License

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

    Description

    Private map (managed forest code 50) used in the Story Map of Forest Management in Canada, 2017. Private map (managed forest code 50) used in the Story Map of Forest Management in Canada, 2017. Private lands were identified using provincial and territorial land ownership datasets. Detailed ownership datasets were not available in all jurisdictions, so proxies were used where necessary. In Saskatchewan, lands south of the province's Commercial Forest Zone were classified as Private. This includes some Crown lands, but these are generally small and not included in forest management plans or leased for commercial forestry purposes. Source: This web map shows the private areas used in the map of forest management in Canada, 2017 and includes the following tiled layer: Private (Managed Forest Code 50)Data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

  17. V

    Loudoun Parcels

    • data.virginia.gov
    • community-loudoungis.opendata.arcgis.com
    • +7more
    Updated Apr 15, 2025
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    Loudoun County (2025). Loudoun Parcels [Dataset]. https://data.virginia.gov/dataset/loudoun-parcels
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    csv, arcgis geoservices rest api, geojson, html, zip, kmlAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Area covered
    Loudoun County
    Description

    Data updated daily.

    A parcel is a tract or plot of land surveyed and defined by legal ownership. Data were compiled from plats and deeds recorded at the Clerk of the Court and from historic tax maps. Source material was digitized or the coordinates were entered into the database via ARC/INFO Coordinate Geometry (COGO). Digital data from engineering companies has also been incorporated for newer subdivisions. A MCPI number is used to identify each parcel, which is a unique ID number further explained below. Purpose: Parcels are used to support a variety of services including assessment, permitting, subdivision review, planning, zoning, and economic development. Parcel data were initially developed to replace existing tax maps. As a result, there are parcel polygons digitized from tax maps that do not represent land parcels but are taxable entities such as leaseholds or easements. Supplemental Information: Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. Maintenance and Update Frequency: Parcels are updated on an hourly basis from recorded deeds and plats. Depending on volume and date of receipt of recordation information, data may be updated 2-3 weeks following recordation. Completeness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data. MCPI: 9 digit unique parcel ID that is a combination of: MAP, CELL, and PARCEL. MAP: 3 digit map number (001-701) corresponding with map tile index. CELL: 2 digit map grid location of parcel center; the grid is comprised of 1000 by 1000 ft grid cells numbered as rows and columns (Columns numbered > 5 6 7 8 9 0; Rows numbered > 1 2 3 4). PARCEL: 4 digit location of polygon center based on the 1927 Virginia State Plane coordinate grid where an easting and northing measurement is taken. example: 6654 from: E 2229668 N475545. The MAP, CELL, and PARCEL values of a parcel do not change when a parcel is altered by a boundary line adjustment or becomes residue from a subdivision. The MAP, CELL, and PARCEL values may therefore be inconsistent with the location of polygon center. MAP, CELL, and PARCEL values have been manually altered for some parcels to agree with other databases; as a result, not all parcels can be located by the MAP, CELL, and PARCEL values. Data Owner: Office of Mapping and Geographic Information
  18. d

    National Riparian Area Base Map (Image Service)

    • datasets.ai
    • agdatacommons.nal.usda.gov
    • +4more
    21, 3, 55
    Updated Sep 10, 2024
    + more versions
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    Department of Agriculture (2024). National Riparian Area Base Map (Image Service) [Dataset]. https://datasets.ai/datasets/national-riparian-area-base-map-image-service-fb3f9
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    3, 55, 21Available download formats
    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Department of Agriculture
    Description
    This imagery layer shows national riparian areas for the conterminous United States. Riparian areas are an important natural resource with high biological diversity. These ecosystems contain specific vegetation and soil characteristics which support irreplaceable values and multiple ecosystem functions and are very responsive to changes in land management activities. Delineating and quantifying riparian areas is an essential step in riparian monitoring, planning, management, and policy decisions. USDA Forest Service supports the development and implementation of a national context framework with a multi-scale approach to define riparian areas utilizing free available national geospatial datasets.

    Why was this layer created?

    To estimate 50-year flood height riparian areas to support statistical analysis, map display, and model parameterization.

    • Provide a framework and an end product to stakeholders and apply the information into management actions and strategies.
    • Multi-scale approach to provide a national and regional report map. Create a product for managers to easily understand where to apply the information at various scales.
    • Develop a national context inventory of riparian areas and their condition within national forests and rangelands.

    How was this layer created?
    • Using freely available data.
    • Develop cost effective modeling approach & technique.
    • Multi-scale (national, regional, & local).
    • Promote technology transfer to train/reach out to our partners.
    Fifty-year flood heights were estimated using U.S. Geological Survey (USGS) stream gage information. NHDPlus version 2.1 was used as the hydrologic framework to delineate riparian areas. The U.S. Fish and Wildlife Service's National Wetland Inventory and USGS 10-meter digital elevation models were also used in processing these data.

    The data are '1' if in the riparian zone and 'NoData' if outside the riparian zone. When displayed on a map, riparian zone cells are color-coded 'blue' with 25% transparency.

    For additional information regarding methodologies for modeling and processing these data, see Abood et al. (2012) and the National Riparian Areas Base Map StoryMap

  19. m

    Maryland Designated Transit Oriented Development Station Points

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated Jul 28, 2023
    + more versions
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    ArcGIS Online for Maryland (2023). Maryland Designated Transit Oriented Development Station Points [Dataset]. https://data.imap.maryland.gov/datasets/maryland-designated-transit-oriented-development-station-points
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    Dataset updated
    Jul 28, 2023
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Official designation of a TOD was enabled under statute in 2008. The intent of designation is to facilitate MDOT’s more direct involvement in the above activities, by clarifying that in specific project areas (which must be within a half mile of a transit station), TOD is to be considered as a transportation purpose. By statute, TODs are to be automatically included in the interagency Sustainable Community designation, which implies eligibility/prioritization for several state discretionary programs and expanded scope for local use of Tax Increment Finance (TIF) for related projects.The local jurisdiction with land use authority may nominate a project as part of their annual “priority letter” for MDOT (generally due in April/May). Staff works with local jurisdiction to define the nomination and collect background materials. Final materials are vetted with the Secretary of Transportation and the Smart Growth Sub-cabinet for recommendation. The Secretary of Transportation conveys the outcomes of the review process, and offers official designation to local jurisdictions as appropriate. Local jurisdictions then take action to formalize the agreement (including boundaries) by official resolution. When this step is complete, the project is considered to be officially “designated.”The designation does not imply that any specific funding or assistance will be automatically allocated. Needs and expectations of support from both state and local agencies should be clarified as part of the designation process.View More Information about Maryland's Transit Oriented Development on their story map: https://bit.ly/MDOT_TODTransit-oriented development (TOD) is an approach to land use planning and development which promotes the efficient use of land and transportation infrastructure. TODs are generally higher density developments comprising a mix of residential, office, commercial, and civic uses in a pedestrian friendly environment within walking distance of a transit center. In 2008 the Maryland legislature adopted a formal definition for TOD as "a dense, mixed-use, deliberately planned development within a half-mile of transit stations that is designed to increase transit ridership."

  20. a

    HLD - Beauregard Town

    • hub.arcgis.com
    Updated May 15, 2015
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    East Baton Rouge GIS Map Portal (2015). HLD - Beauregard Town [Dataset]. https://hub.arcgis.com/maps/2b563d6846124652a503765951ce941c
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    Dataset updated
    May 15, 2015
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Area covered
    Description

    This web map is used in the Historic Land Development story map.

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data.brla.gov (2025). Historical Land Development Story Map [Dataset]. https://catalog.data.gov/dataset/historical-land-development-story-map

Historical Land Development Story Map

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Dataset updated
Jun 29, 2025
Dataset provided by
data.brla.gov
Description

Baton Rouge's unique past has shaped the city that we live in today. The layout of the city's streets, the arrangement of prominent government and religious structures, the clustering of businesses, the distribution of residential neighborhoods, and the placement of parks and schools all speak to the long term processes of urban growth. Society invests tremendous effort in creating its urban centers and citizens develop attachments to those places. It is the investment of human effort that stimulates a sense of place and allows individuals to develop strong feelings about their home city. Sense of place is constantly reinforced by contact with the common, everyday landscapes that surround us. In Baton Rouge, the two principal university campuses, the state government complex, along with various historic neighborhoods and structures all stand as perpetual reminders of the city's past. Many familiar and, at the same time, unique landscape features of Baton Rouge shape our sense of place. Much has been written about the distinctive buildings that come to mind when Baton Rouge is mentioned, but what of the larger districts and neighborhoods? Residents generally are most familiar with their immediate surroundings or those places where they work and play and these surroundings ofter constitute more than a building or two. Children comprehend their immediate neighborhoods and those who move about a city come to know and develop ideas about the city's larger units. Geographers and planners like to think of cities in terms of these larger assemblages

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