98 datasets found
  1. a

    KYTC - As-Built Archives

    • hub.arcgis.com
    • gis-bradd-ky.opendata.arcgis.com
    Updated May 22, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kentucky Transportation Cabinet (2020). KYTC - As-Built Archives [Dataset]. https://hub.arcgis.com/maps/58a69d1d698640ca9a3490431d014f73
    Explore at:
    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    Kentucky Transportation Cabinet
    License

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

    Area covered
    Description

    This map service provides access to scanned as-built drawings from the Kentucky Transportation Cabinet (KYTC). These drawings, dating from 1909 to the present, are linked to geographic locations across Kentucky. They are valuable for historical research, infrastructure planning, and project reference. Users can explore detailed construction records and view changes in the transportation network over time.

  2. OpenStreetMap (Blueprint)

    • catalog.data.gov
    • data.baltimorecity.gov
    • +15more
    Updated Jun 8, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2024). OpenStreetMap (Blueprint) [Dataset]. https://catalog.data.gov/dataset/openstreetmap-blueprint-653c6
    Explore at:
    Dataset updated
    Jun 8, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This web map features a vector basemap of OpenStreetMap (OSM) data created and hosted by Esri. Esri produced this vector tile basemap in ArcGIS Pro from a live replica of OSM data, hosted by Esri, and rendered using a creative cartographic style emulating a blueprint technical drawing. The vector tiles are updated every few weeks with the latest OSM data. This vector basemap is freely available for any user or developer to build into their web map or web mapping apps.OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this new vector basemap available available to the OSM, GIS, and Developer communities.

  3. Community Map (WGS84)

    • hub.arcgis.com
    Updated May 29, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2019). Community Map (WGS84) [Dataset]. https://hub.arcgis.com/maps/f0d3e55345d2404a92a91989cd9c5bb9
    Explore at:
    Dataset updated
    May 29, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Community Map (WGS84) (World Edition) web map provides a customized world basemap that is uniquely symbolized and optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and sports amenities like tennis courts, football and baseball field lines, and more. This basemap, included in the ArcGIS Living Atlas of the World, uses the Community (WGS84) vector tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps WGS84 are updated quarterly.Check out other WGS84 basemaps in the World Basemaps (WGS84) group. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layer referenced in this map.Precise Tile Registration The map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

  4. u

    Mapping built environment policy instruments for Victoria, Australia: Data...

    • figshare.unimelb.edu.au
    xlsx
    Updated Dec 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ANNA HURLIMANN; Geoff BROWNE; JUDY BUSH; ALAN MARCH; GEORGIA WARREN-MYERS; SAREH MOOSAVI; Joshua Nielsen (2023). Mapping built environment policy instruments for Victoria, Australia: Data Table [Dataset]. http://doi.org/10.26188/21391416.v4
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Dec 6, 2023
    Dataset provided by
    The University of Melbourne
    Authors
    ANNA HURLIMANN; Geoff BROWNE; JUDY BUSH; ALAN MARCH; GEORGIA WARREN-MYERS; SAREH MOOSAVI; Joshua Nielsen
    License

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

    Area covered
    Australia, Victoria
    Description

    This is a data set of built environment policy instruments relevant to the state of Victoria, Australia. The instruments are categorised against a built environment policy framework developed by Hurlimann et al (2024 - see reference details below) which consists of: a policy instrument typology (strategies, laws, regulations, guidelines, voluntary instruments and programs), and a built environment policy setting (governance level, sector, property type, life stage, timeframe). Local (City of Melbourne), national (Australia) and international built environment policy instruments are also included.This data file relates to open access journal article: Hurlimann, A., March, A., Bush, J., Moosavi., S., Browne, G., Warren-Myers, G., (2024) 'Climate change transformation in built environments - A policy instrument framework. Urban Climate; doi.org/10.1016/j.uclim.2023.101771

  5. a

    Sentinel-2 10m Land Use Land Cover Time Series

    • wfp-demographic-analysis-usfca.hub.arcgis.com
    • opendata.rcmrd.org
    • +11more
    Updated Oct 2, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Geospatial Analysis Lab (GsAL) at USF (2024). Sentinel-2 10m Land Use Land Cover Time Series [Dataset]. https://wfp-demographic-analysis-usfca.hub.arcgis.com/content/42945cf091f84444ab43c9850959edc3
    Explore at:
    Dataset updated
    Oct 2, 2024
    Dataset authored and provided by
    Geospatial Analysis Lab (GsAL) at USF
    License

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

    Area covered
    Description

    This layer displays a global map of land use/land cover (LULC) derived from ESA Sentinel-2 imagery at 10m resolution. Each year is generated with Impact Observatory’s deep learning AI land classification model, trained using billions of human-labeled image pixels from the National Geographic Society. The global maps are produced by applying this model to the Sentinel-2 Level-2A image collection on Microsoft’s Planetary Computer, processing over 400,000 Earth observations per year.The algorithm generates LULC predictions for nine classes, described in detail below. The year 2017 has a land cover class assigned for every pixel, but its class is based upon fewer images than the other years. The years 2018-2023 are based upon a more complete set of imagery. For this reason, the year 2017 may have less accurate land cover class assignments than the years 2018-2023.Variable mapped: Land use/land cover in 2017, 2018, 2019, 2020, 2021, 2022, 2023Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84Service Coordinate System: Web Mercator Auxiliary Sphere WGS84 (EPSG:3857)Extent: GlobalSource imagery: Sentinel-2 L2ACell Size: 10-metersType: ThematicAttribution: Esri, Impact ObservatoryWhat can you do with this layer?Global land use/land cover maps provide information on conservation planning, food security, and hydrologic modeling, among other things. This dataset can be used to visualize land use/land cover anywhere on Earth. This layer can also be used in analyses that require land use/land cover input. For example, the Zonal toolset allows a user to understand the composition of a specified area by reporting the total estimates for each of the classes. NOTE: Land use focus does not provide the spatial detail of a land cover map. As such, for the built area classification, yards, parks, and groves will appear as built area rather than trees or rangeland classes.Class definitionsValueNameDescription1WaterAreas where water was predominantly present throughout the year; may not cover areas with sporadic or ephemeral water; contains little to no sparse vegetation, no rock outcrop nor built up features like docks; examples: rivers, ponds, lakes, oceans, flooded salt plains.2TreesAny significant clustering of tall (~15 feet or higher) dense vegetation, typically with a closed or dense canopy; examples: wooded vegetation, clusters of dense tall vegetation within savannas, plantations, swamp or mangroves (dense/tall vegetation with ephemeral water or canopy too thick to detect water underneath).4Flooded vegetationAreas of any type of vegetation with obvious intermixing of water throughout a majority of the year; seasonally flooded area that is a mix of grass/shrub/trees/bare ground; examples: flooded mangroves, emergent vegetation, rice paddies and other heavily irrigated and inundated agriculture.5CropsHuman planted/plotted cereals, grasses, and crops not at tree height; examples: corn, wheat, soy, fallow plots of structured land.7Built AreaHuman made structures; major road and rail networks; large homogenous impervious surfaces including parking structures, office buildings and residential housing; examples: houses, dense villages / towns / cities, paved roads, asphalt.8Bare groundAreas of rock or soil with very sparse to no vegetation for the entire year; large areas of sand and deserts with no to little vegetation; examples: exposed rock or soil, desert and sand dunes, dry salt flats/pans, dried lake beds, mines.9Snow/IceLarge homogenous areas of permanent snow or ice, typically only in mountain areas or highest latitudes; examples: glaciers, permanent snowpack, snow fields.10CloudsNo land cover information due to persistent cloud cover.11RangelandOpen areas covered in homogenous grasses with little to no taller vegetation; wild cereals and grasses with no obvious human plotting (i.e., not a plotted field); examples: natural meadows and fields with sparse to no tree cover, open savanna with few to no trees, parks/golf courses/lawns, pastures. Mix of small clusters of plants or single plants dispersed on a landscape that shows exposed soil or rock; scrub-filled clearings within dense forests that are clearly not taller than trees; examples: moderate to sparse cover of bushes, shrubs and tufts of grass, savannas with very sparse grasses, trees or other plants.Classification ProcessThese maps include Version 003 of the global Sentinel-2 land use/land cover data product. It is produced by a deep learning model trained using over five billion hand-labeled Sentinel-2 pixels, sampled from over 20,000 sites distributed across all major biomes of the world.The underlying deep learning model uses 6-bands of Sentinel-2 L2A surface reflectance data: visible blue, green, red, near infrared, and two shortwave infrared bands. To create the final map, the model is run on multiple dates of imagery throughout the year, and the outputs are composited into a final representative map for each year.The input Sentinel-2 L2A data was accessed via Microsoft’s Planetary Computer and scaled using Microsoft Azure Batch.CitationKarra, Kontgis, et al. “Global land use/land cover with Sentinel-2 and deep learning.” IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021.AcknowledgementsTraining data for this project makes use of the National Geographic Society Dynamic World training dataset, produced for the Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute.

  6. Mid-Century Map

    • arcgis.com
    • indianamap.org
    • +20more
    Updated Jan 3, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Mid-Century Map [Dataset]. https://www.arcgis.com/sharing/oauth2/social/authorize?socialLoginProviderName=github&oauth_state=aSPrCbjFRuvO8eCmYejegYw..Tm23eLDI985ITdKrg8VtA5SZjhoVpvpJXTlUIR1QD8LCRpljnVWpMNnkRLz_DJJgOQ1o5b5J6PQv_Up1eEYfMS1YoNUVR4vKZriUB9UYBM38_4P-voi2w1RN9rJ6f6eerB7MJc23th44iF4I7dVkvmg6QRwkyVpWT1VGCGub4XGx7OV71qQo1mjADm9RADaFv9eqC_4lWrbnI8vSVNai0jHXekL-0DlQNhZlvgWbPJaSsxyvZdfnuOL4i8moeNONH1vLfqP68QyBF0ZQj1IdgYeJzd5Fd-vxQDuB5NRdTNIes5fx6r7oQLyOIypbG1MEj4VgLR1YLTRHsxX7XMnhhJqlK-5YJvlMYwtOJdLmkDzyevARu5SKLD7Jb04TTiDb-Ac.
    Explore at:
    Dataset updated
    Jan 3, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Mid-Century Map (World Edition) web map provides a customized world basemap symbolized with a unique "Mid-Century" style. It takes its inspiration from the art and advertising of the 1950's with unique fonts. The symbols for cities and capitals have an atomic slant to them. The map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries.This basemap, included in the ArcGIS Living Atlas of the World, uses the Mid-Century vector tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer referenced in this map.

  7. National Geographic Style Map

    • share-open-data-crawfordcountypa.opendata.arcgis.com
    • indianamap.org
    • +8more
    Updated May 4, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2018). National Geographic Style Map [Dataset]. https://share-open-data-crawfordcountypa.opendata.arcgis.com/maps/f33a34de3a294590ab48f246e99958c9
    Explore at:
    Dataset updated
    May 4, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    This National Geographic Style Map (World Edition) web map provides a reference map for the world that includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings, and landmarks, overlaid on shaded relief and a colorized physical ecosystems base for added context to conservation and biodiversity topics. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri, National Geographic or any governing authority.This basemap, included in the ArcGIS Living Atlas of the World, uses the National Geographic Style vector tile layer and the National Geographic Style Base and World Hillshade raster tile layers.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  8. a

    NGGS Schema

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Aug 12, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    jlivengood_EMNRD (2021). NGGS Schema [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/8647a25ac577430987fb8795d34b74d5
    Explore at:
    Dataset updated
    Aug 12, 2021
    Dataset authored and provided by
    jlivengood_EMNRD
    Area covered
    Description

    Empty geodatabase schema for GIS as-built submissions of new gathering pipeline or natural gas gathering system as defined in 19.15.28.9 NMAC.“Natural gas gathering system” means the gathering pipelines and associated facilities that compress, dehydrate, or treat natural gas after the custody transfer point and ending at the connection point with a natural gas processing plant or transmission or distribution system. 19.15.28.7 NMAC.“Gathering pipeline” means a pipeline that gathers natural gas within a natural gas gathering system. 19.15.28.7 NMAC.“Release” No later than July 1st of each year, the operator shall also file with the division an updated system map GIS digitally formatted as-built map of its gathering pipeline or natural gas gathering system, which shall include a GIS layer that identifies the date, location and volume of vented or flared natural gas of each emergency, malfunction and release reported to the division since 19.15.28 NMAC became applicable to the pipeline or system. System Maps will be submitted to OCD in the Esri file geodatabase format.Do not submit Esri shapefile, personal geodatabase, or other raw formats. Do not submit GIS files that were converted to a file geodatabase format without following the required database template.File Geodatabase and feature layers must use an underscore, rather than a period or space, when naming files. (ex. FacID_Date_NGGS)

  9. Charted Territory Map

    • publicinfo-ocoutil.opendata.arcgis.com
    • indianamap.org
    • +10more
    Updated May 25, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2018). Charted Territory Map [Dataset]. https://publicinfo-ocoutil.opendata.arcgis.com/items/d582a9e953c44c09bb998c7d9b66f8d4
    Explore at:
    Dataset updated
    May 25, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Charted Territory Map (World Edition) web map provides a customized world basemap uniquely symbolized. It takes its inspiration from a printed atlas plate and pull-down scholastic classroom maps. The map emphasizes the geographic and political features in the design. The use of country level polygons are preassigned with eight different colors. It also includes the global graticule features as well as landform labels of physical features and hillshade. This basemap, included in the ArcGIS Living Atlas of the World, uses the Charted Territory vector tile layer and World Hillshade. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layers referenced in this map.

  10. Modern Antique Map

    • opendata-cosagis.opendata.arcgis.com
    • inspiracie.arcgeo.sk
    • +11more
    Updated Jun 26, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2016). Modern Antique Map [Dataset]. https://opendata-cosagis.opendata.arcgis.com/maps/esri::modern-antique-map/about
    Explore at:
    Dataset updated
    Jun 26, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Modern Antique Map (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique vector tile layer and World Hillshade.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  11. Human Geography Map

    • noveladata.com
    • esriaustraliahub.com.au
    • +13more
    Updated Feb 2, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Human Geography Map [Dataset]. https://www.noveladata.com/maps/esri::human-geography-map/about
    Explore at:
    Dataset updated
    Feb 2, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

  12. Gold Dust

    • data.imap.maryland.gov
    • hub.arcgis.com
    Updated Apr 22, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ArcGIS Online for Maryland (2019). Gold Dust [Dataset]. https://data.imap.maryland.gov/maps/b928f9b4e3894ae2a9e165796450652d
    Explore at:
    Dataset updated
    Apr 22, 2019
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    License

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

    Area covered
    Description

    Map DetailsVector tile layer map customization built using ESRI's Vector Tile Style editor. Intended to be used as a standalone basemap that, while intricate in its details, provides a muted, desaturated light appearance. It is most similar to ESRI's Modern Antique basemap, but provides a further distillation of colors and desaturated color palette that is intended to be used as a standalone, unobtrusive basemap. It retains the multi-scale mapping of the Modern Antique map and includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries albeit with varying transparencies for different scales. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map includes a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog. Fonts available for use in the style resource directory are under the OFL, Open Font License.This map was designed and created by Andrew Bernish but with substantial (majority) credit for the original design by Cindy Prostak in her Modern Antique basemap available on Living Atlas.

  13. Modern Antique Map

    • city-of-rock-island-gis-rigov.hub.arcgis.com
    • data.baltimorecity.gov
    • +3more
    Updated Jun 26, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2016). Modern Antique Map [Dataset]. https://city-of-rock-island-gis-rigov.hub.arcgis.com/datasets/esri::modern-antique-map
    Explore at:
    Dataset updated
    Jun 26, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This web map provides a customized vector layer for the world symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. This web map is built using the same data sources used for the World Topographic Map and other Esri basemaps. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map contains a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

  14. Geospatial data for the Vegetation Mapping Inventory Project of Florissant...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jun 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). Geospatial data for the Vegetation Mapping Inventory Project of Florissant Fossil Beds National Monument [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-florissant-fossil-beds-nat
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Florissant
    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. For four of the map units – 3-SDF, 4-SDAF, 27-POHV, and 31-LBY – modeling using GIS principles was also employed. Modeling involves using environmental conditions of a map unit, such as elevation, slope, and aspect, which were determined by the field-collected ecological data. Data satisfying these conditions were obtained from ancillary data sources, such as USGS DEM data. These data were fed into a model that will result in locations (pixels) where all the desired conditions exist. For example, if a certain map unit was a shrubland that predominantly occurs above 8000 feet, on slopes of 3-10%, and on west-facing aspects, the correctly-constructed model will output only locations where this combination of conditions will be found. The resulting areas were then examined manually with the traditional photo interpretation process to confirm that they indeed could be accepted as that map unit. If photo interpretation determines that the areas were not acceptable, then they were changed to a more appropriate map unit.

  15. Project Y4 Deliverable #5 3D maps/GIS of specific districts to be built on...

    • data.wu.ac.at
    • ecat.ga.gov.au
    • +1more
    zip
    Updated Jun 27, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Geoscience Australia (2018). Project Y4 Deliverable #5 3D maps/GIS of specific districts to be built on Y2 regional 3D map (Laverton, Kalgoorie-Kambalda) [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YjI2NzExMjQtYTU1MC00OTE1LTgzNjQtMWI0YjIwZWU2YzQ1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 27, 2018
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

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

    Area covered
    7c91f518647624753e523eace3c36fed36aeebc7, Kambalda
    Description

    Project Y4 Deliverable #5 3D maps/GIS of specific districts to be built on Y2 regional 3D map (Laverton, Kalgoorie-Kambalda)

  16. Data from: Land cover fraction map of Austria at 10m spatial resolution...

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated Oct 9, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Franz Schug; Franz Schug; David Frantz; David Frantz; Akpona Okujeni; Sebastian van der Linden; Patrick Hostert; Akpona Okujeni; Sebastian van der Linden; Patrick Hostert (2020). Land cover fraction map of Austria at 10m spatial resolution based on Sentinel-1 and Sentinel-2 spectral temporal metrics [Dataset]. http://doi.org/10.1594/pangaea.923037
    Explore at:
    binAvailable download formats
    Dataset updated
    Oct 9, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Franz Schug; Franz Schug; David Frantz; David Frantz; Akpona Okujeni; Sebastian van der Linden; Patrick Hostert; Akpona Okujeni; Sebastian van der Linden; Patrick Hostert
    License

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

    Description

    This is a cross-link to an existing PANGAEA datasaet: https://doi.org/10.1594/PANGAEA.923037

    This map has been created using a regression-based unmixing approach for mapping built-up surfaces and infrastructure, woody vegetation and non-woody vegetation for all of Austria at 10 m spatial resolution.

    This research has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 741950).

  17. b

    Colored Pencil Map

    • data.baltimorecity.gov
    • inspiracie.arcgeo.sk
    • +10more
    Updated Jan 5, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Colored Pencil Map [Dataset]. https://data.baltimorecity.gov/maps/826498a48bd0424f9c9315214f2165d4
    Explore at:
    Dataset updated
    Jan 5, 2017
    Dataset authored and provided by
    Esri
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Colored Pencil Map (World Edition) web map provides a detailed vector basemap for the world symbolized with the appearance of being hand-drawn by colored pencils. The map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, trees, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Colored Pencil vector tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layer items referenced in this map.

  18. Building height map of Germany

    • zenodo.org
    • explore.openaire.eu
    • +1more
    zip
    Updated Oct 16, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    David Frantz; David Frantz; Franz Schug; Akpona Okujeni; Claudio Navacchi; Wolfgang Wagner; Sebastian van der Linden; Patrick Hostert; Franz Schug; Akpona Okujeni; Claudio Navacchi; Wolfgang Wagner; Sebastian van der Linden; Patrick Hostert (2020). Building height map of Germany [Dataset]. http://doi.org/10.5281/zenodo.4066295
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 16, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    David Frantz; David Frantz; Franz Schug; Akpona Okujeni; Claudio Navacchi; Wolfgang Wagner; Sebastian van der Linden; Patrick Hostert; Franz Schug; Akpona Okujeni; Claudio Navacchi; Wolfgang Wagner; Sebastian van der Linden; Patrick Hostert
    License

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

    Area covered
    Germany
    Description

    Urban areas have a manifold and far-reaching impact on our environment, and the three-dimensional structure is a key aspect for characterizing the urban environment.

    This dataset features a map of building height predictions for entire Germany on a 10m grid based on Sentinel-1A/B and Sentinel-2A/B time series. We utilized machine learning regression to extrapolate building height reference information to the entire country. The reference data were obtained from several freely and openly available 3D Building Models originating from official data sources (building footprint: cadaster, building height: airborne laser scanning), and represent the average building height within a radius of 50m relative to each pixel. Building height was only estimated for built-up areas (European Settlement Mask), and building height predictions <2m were set to 0m.

    Temporal extent
    The acquisition dates of the different data sources vary to some degree:
    - Independent variables: Sentinel-2 data are from 2018; Sentinel-1 data are from 2017.
    - Dependent variables: the 3D building models are from 2012-2020 depending on data provider.
    - Settlement mask: the ESM is based on a mosaic of imagery from 2014-2016.
    Considering that net change of building stock is positive in Germany, the building height map is representative for ca. 2015.

    Data format
    The data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). Metadata are located within the Tiff, partly in the FORCE domain. There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. Building height values are in meters, scaled by 10, i.e. a pixel value of 69 = 6.9m.

    Further information
    For further information, please see the publication or contact David Frantz (david.frantz@geo.hu-berlin.de).
    A web-visualization of this dataset is available here.

    Publication
    Frantz, D., Schug, F., Okujeni, A., Navacchi, C., Wagner, W., van der Linden, S., & Hostert, P. (2021). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment, 252, 112128. DOI: https://doi.org/10.1016/j.rse.2020.112128

    Acknowledgements
    The dataset was generated by FORCE v. 3.1 (paper, code), which is freely available software under the terms of the GNU General Public License v. >= 3. Sentinel imagery were obtained from the European Space Agency and the European Commission. The European Settlement Mask was obtained from the European Commission. 3D building models were obtained from Berlin Partner für Wirtschaft und Technologie GmbH, Freie und Hansestadt Hamburg / Landesbetrieb Geoinformation und Vermessung, Landeshauptstadt Potsdam, Bezirksregierung Köln / Geobasis NRW, and Kompetenzzentrum Geodateninfrastruktur Thüringen. This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.

    Funding
    This dataset was produced with funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).

  19. C

    UCB Property Boundaries

    • data.colorado.gov
    application/rdfxml +5
    Updated Jan 29, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). UCB Property Boundaries [Dataset]. https://data.colorado.gov/dataset/UCB-Property-Boundaries/sged-3xpq
    Explore at:
    csv, json, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Jan 29, 2025
    Description

    The University of Colorado Boulder campus map is created, updated and published by the CU CAD/GIS Office. It consists of twenty-two separate feature classes: Property Boundaries, Building Footprints, River Lines, Lakes and Ponds, Ditches, Water Features, Dams, Road Edges, Sidewalk Edges, Structure Areas and Lines, Athletics Fields & Courts, Athletics Lines, Fence Lines, Outdoor Spaces, Parking Lots and Lines, Grounds Panels (softscape areas), Road Centerlines, Trees and Points of Interest. Each of these layers are updated as-needed by the CU CAD/GIS Office when new information is received, typically in the form of construction as-built drawings. The updates are posted to ArcGIS Online, Esri Living Atlas and Esri Community maps at least twice a year, quarterly when possible.

  20. Navigation (Community Maps)

    • hub.arcgis.com
    Updated Apr 2, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2019). Navigation (Community Maps) [Dataset]. https://hub.arcgis.com/maps/5be5de81ca2540719728df0934f977a2
    Explore at:
    Dataset updated
    Apr 2, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Oceania, Pacific Ocean, North Pacific Ocean
    Description

    The Navigation (Community Maps) (World Edition) web map provides a detailed basemap for the world symbolized with a custom navigation map style that is designed for use during the day in mobile devices. This map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Where provided, data for these features, including roads and administrative lines, are from Community Map contributors.This basemap uses the World Navigation Map (Community Maps) vector tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer referenced in this map.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Kentucky Transportation Cabinet (2020). KYTC - As-Built Archives [Dataset]. https://hub.arcgis.com/maps/58a69d1d698640ca9a3490431d014f73

KYTC - As-Built Archives

Explore at:
Dataset updated
May 22, 2020
Dataset authored and provided by
Kentucky Transportation Cabinet
License

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

Area covered
Description

This map service provides access to scanned as-built drawings from the Kentucky Transportation Cabinet (KYTC). These drawings, dating from 1909 to the present, are linked to geographic locations across Kentucky. They are valuable for historical research, infrastructure planning, and project reference. Users can explore detailed construction records and view changes in the transportation network over time.

Search
Clear search
Close search
Google apps
Main menu