88 datasets found
  1. U

    Habitat Maps for the Cache Creek Settling Basin, Yolo County, California

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Oct 16, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mark Marvin-DiPasquale; Elizabeth Stumpner; Charles Alpers; Lisamarie Windham-Myers; Jacob Fleck; Le Kieu; Evangelos Kakouros; James Orlando; Peter Bennett; Shanna Rose (2018). Habitat Maps for the Cache Creek Settling Basin, Yolo County, California [Dataset]. http://doi.org/10.5066/P9MDXR3M
    Explore at:
    Dataset updated
    Oct 16, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Mark Marvin-DiPasquale; Elizabeth Stumpner; Charles Alpers; Lisamarie Windham-Myers; Jacob Fleck; Le Kieu; Evangelos Kakouros; James Orlando; Peter Bennett; Shanna Rose
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jun 1, 2012 - Jul 1, 2012
    Area covered
    Yolo County, California, Cache Creek Settling Basin
    Description

    The geospatial data presented here as ArcGIS layers denote landcover/landuse classifications to support field sampling efforts that occurred within the Cache Creek Settling Basin (CCSB) from 2010-2019. Manual photointerpretation of a National Agriculture Imagery Program (NAIP) dataset collected in 2012 was used to characterize landcover/landuse categories (hereafter habitat classes). Initially 9 categories were assigned based on vegetation structure (Vegtype1). These were then parsed into two levels of habitat classes that were chosen for their representativeness and use for statistical analyses of field sampling. At the coarsest level (Landcover 1), five habitat classes were assigned: Agriculture, Riparian, Floodplain, Open Water, and Road. At the more refined level (Landcover 2), ten habitat classes were nested within these five categories. Agriculture was not further refined within Landcover 2, as little consistency was expected between years as fields rotated between corn, ...

  2. A

    Cached Base Map Services

    • data.amerigeoss.org
    • data.wu.ac.at
    rest
    Updated May 17, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States (2018). Cached Base Map Services [Dataset]. https://data.amerigeoss.org/nl/dataset/groups/cached-base-map-services
    Explore at:
    restAvailable download formats
    Dataset updated
    May 17, 2018
    Dataset provided by
    United States
    License

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

    Description

    North Dakota GIS Hub cached base map services include a composite of aerial photography and one for boundary, water, and transportation data. The aerial photography includes the latest statewide NAIP data overlaid by the best possible and most recent local imagery. These services are best used with web-based mapping applications but they can also be used with ArcGIS Desktop. Caching has been done to level 20 for selected cities and counties. The base map services utilize Web Mercator Auxiliary Sphere.

    Constraints:
    Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

  3. G

    Vehicle Edge Cache for Map Updates Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Growth Market Reports (2025). Vehicle Edge Cache for Map Updates Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/vehicle-edge-cache-for-map-updates-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Vehicle Edge Cache for Map Updates Market Outlook



    According to our latest research, the global Vehicle Edge Cache for Map Updates market size reached USD 1.32 billion in 2024, demonstrating robust growth driven by the surging adoption of connected vehicles and the escalating need for real-time map data. The market is set to expand at a CAGR of 17.6% from 2025 to 2033, with the market forecasted to reach USD 6.11 billion by 2033. The primary growth factor is the increasing integration of advanced navigation and autonomous driving technologies, which demand reliable, low-latency map updates delivered at the vehicle edge.




    The exponential growth in connected and autonomous vehicles is a significant driver for the Vehicle Edge Cache for Map Updates market. As automotive manufacturers and technology companies race to enable seamless navigation and improved safety features, the demand for up-to-date, high-resolution map data has intensified. Edge caching solutions are pivotal in ensuring that vehicles receive timely map updates without the latency and bandwidth constraints of centralized cloud architectures. This trend is further amplified by the proliferation of smart infrastructure and vehicle-to-everything (V2X) communication, which necessitate rapid data processing and distribution at the network edge. The ability of edge caches to reduce data transmission costs and improve reliability is making them indispensable in the evolving automotive ecosystem.




    Another prominent growth factor is the rising complexity of urban mobility and logistics networks. Cities worldwide are experiencing increased traffic congestion, dynamic road changes, and frequent infrastructure upgrades, all of which require real-time updates to in-vehicle navigation systems. Edge caching facilitates localized data storage and instant distribution of map updates, enabling navigation systems to reflect the latest road conditions, construction zones, and traffic incidents. This capability is critical for not only passenger vehicles but also commercial fleets and ride-sharing platforms that rely on accurate routing and efficient fleet management. As urbanization and e-commerce continue to surge, the market is poised to benefit from the growing need for dynamic, location-specific map data.




    Technological advancements in edge computing and artificial intelligence are accelerating the adoption of vehicle edge cache solutions. The integration of AI-powered algorithms enables predictive caching, which anticipates the data needs of vehicles based on driving patterns, location, and historical usage. This proactive approach minimizes latency and ensures that vehicles have access to the most relevant map updates, even in areas with limited connectivity. Furthermore, the ongoing shift toward electric and autonomous vehicles is creating new opportunities for edge cache providers to collaborate with OEMs and technology partners, driving innovation and expanding the addressable market. These trends underscore the critical role of edge caching in enabling the next generation of intelligent transportation systems.




    Regionally, the Vehicle Edge Cache for Map Updates market exhibits strong momentum in North America, Europe, and Asia Pacific, with each region contributing significantly to overall market growth. North America leads in terms of technological adoption and investment in connected vehicle infrastructure, while Europe benefits from stringent safety regulations and a robust automotive industry. Asia Pacific, on the other hand, is experiencing rapid expansion due to the rising penetration of connected vehicles and government initiatives supporting smart mobility. Latin America and the Middle East & Africa are gradually catching up, driven by improvements in network infrastructure and increasing vehicle electrification. The regional dynamics are expected to shape market growth patterns over the forecast period, with Asia Pacific projected to record the highest growth rate.





    Component Analysis



    The Vehicle Edge Cache for Map Update

  4. a

    KyTopo Map Series Cached Base Map (Tile Layer)

    • hub.arcgis.com
    • opengisdata.ky.gov
    • +1more
    Updated Dec 15, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KyGovMaps (2019). KyTopo Map Series Cached Base Map (Tile Layer) [Dataset]. https://hub.arcgis.com/maps/a545c469f3d74e26974ab998407c25e8
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset authored and provided by
    KyGovMaps
    License

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

    Area covered
    Description

    This cached map service provides access to the Kentucky Topographic Map Series (KyTopo) images in a seamless manner. The underlying data will be updated on a periodic basis. This Web Mercator-based service is intended for use in a web mapping framework.

  5. R

    Vehicle Edge Cache for Map Updates Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Research Intelo (2025). Vehicle Edge Cache for Map Updates Market Research Report 2033 [Dataset]. https://researchintelo.com/report/vehicle-edge-cache-for-map-updates-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Vehicle Edge Cache for Map Updates Market Outlook



    According to our latest research, the Global Vehicle Edge Cache for Map Updates market size was valued at $1.8 billion in 2024 and is projected to reach $6.7 billion by 2033, expanding at a robust CAGR of 15.7% during the forecast period of 2025–2033. One of the primary factors driving this impressive growth is the surge in adoption of connected vehicles and autonomous driving technologies, which demand real-time, reliable, and frequently updated map data for safe and efficient operation. The increasing complexity of road networks, urban mobility solutions, and the proliferation of electric and autonomous vehicles are further catalyzing the need for advanced edge caching solutions to ensure seamless, low-latency delivery of critical map updates directly to vehicles.



    Regional Outlook



    North America currently dominates the Vehicle Edge Cache for Map Updates market, accounting for the largest share of global revenue, estimated at over 38% in 2024. This leadership is attributed to the region’s mature automotive sector, widespread deployment of advanced driver-assistance systems (ADAS), and a robust ecosystem of technology providers and automotive OEMs. The presence of major players investing heavily in edge computing infrastructure, coupled with supportive regulatory frameworks promoting connected and autonomous vehicle adoption, further strengthens North America's position in the market. Additionally, the region benefits from early adoption of 5G networks, which enhances the capability of edge caching technologies to deliver real-time map updates, thus meeting the stringent requirements of next-generation navigation and safety applications.



    In contrast, the Asia Pacific region is projected to be the fastest-growing market, with a forecasted CAGR exceeding 18.5% during 2025–2033. This rapid growth is primarily driven by the acceleration of smart city initiatives, burgeoning automotive production, and increasing investments in electric and autonomous vehicles across countries such as China, Japan, and South Korea. The region’s massive population and urbanization trends are fostering demand for advanced navigation and fleet management solutions, necessitating efficient map update mechanisms. Moreover, aggressive government policies supporting connected mobility and substantial funding for 5G and edge computing infrastructure are enabling rapid deployment of vehicle edge cache technologies throughout Asia Pacific.



    Emerging economies in Latin America and Middle East & Africa are beginning to recognize the importance of vehicle edge caching for map updates, though adoption is still at a nascent stage. Challenges such as inadequate digital infrastructure, limited access to high-speed connectivity, and varying regulatory standards pose significant barriers. However, localized demand is rising, particularly among fleet operators and logistics companies seeking to optimize routes and reduce operational costs. Policy reforms aimed at boosting smart transportation and investments in digital infrastructure are expected to gradually unlock new opportunities in these regions, albeit at a slower pace compared to North America, Europe, and Asia Pacific.



    Report Scope





    Attributes Details
    Report Title Vehicle Edge Cache for Map Updates Market Research Report 2033
    By Component Hardware, Software, Services
    By Deployment Mode On-Premises, Cloud
    By Vehicle Type Passenger Vehicles, Commercial Vehicles, Electric Vehicles, Autonomous Vehicles
    By Application Navigation Systems, Advanced Driver-Assistance Systems, Fleet Management, Infotainment, Others
    By End-User </

  6. g

    Topographic Web Map Viewing Cache | gimi9.com

    • gimi9.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Topographic Web Map Viewing Cache | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_13933768-654e-4df6-ac27-5e62e8a07573
    Explore at:
    Description

    With our display services, you can use Lantmäteriet’s maps in your own systems or applications. The display services can be combined with our other geodata services. The service provides access to a topographic web map that is customised for screen viewing. The map information is displayed with a harmonised cartography between the scales. The service is very similar in terms of content to the service Topographic Webmap Viewing but has higher performance and slightly less timeliness. The information is updated at different intervals depending on the information type and scale level. Scale ranges up to 1:20,000 are updated at least daily. Scale ranges above 1:20,000 are updated at least quarterly.

  7. d

    NSW Topographic Cache Map Current Series

    • data.gov.au
    basic
    Updated Feb 6, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Land and Property Information (2013). NSW Topographic Cache Map Current Series [Dataset]. https://data.gov.au/dataset/ds-sdinsw-%7BB7E4636C-6956-468B-BA73-EA27CFAB4E2A%7D
    Explore at:
    basicAvailable download formats
    Dataset updated
    Feb 6, 2013
    Dataset provided by
    Land and Property Information
    Area covered
    New South Wales
    Description

    Land and Property Information (LPI’s) Cached map service is a rasterised topographic maps covering NSW. This service contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series. Where coverage exists at multiple scales the largest scale map is displayed. It compromises the “collars off” tiff images for the current (1:100000, 1:50000 and 1:25000) Topo maps, and replaces the old “Topographic maps (Current Series)” shown in the old six viewer. Land and Property Information (LPI’s) Cached map service is a rasterised topographic maps covering NSW. This service contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series. Where coverage exists at multiple scales the largest scale map is displayed. It compromises the “collars off” tiff images for the current (1:100000, 1:50000 and 1:25000) Topo maps, and replaces the old “Topographic maps (Current Series)” shown in the old six viewer.

  8. m

    Elevation Contours (Cache)

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Dec 16, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2016). Elevation Contours (Cache) [Dataset]. https://gis.data.mass.gov/maps/massgis::elevation-contours-cache/about
    Explore at:
    Dataset updated
    Dec 16, 2016
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The Elevation Contours tile cache service displays at large scales contour lines at 3-meter intervals created from Digital Terrain Model (DTM) data points collected during the production of the 1:5,000 Black and White Digital Orthophoto images. See https://www.mass.gov/info-details/massgis-data-elevation-contours-15000 for more details.At smaller scales the service displays contour lines at 30-foot intervals originally developed at a scale of 1:250,000 and distributed by the U.S. Geological Survey. Please see https://www.mass.gov/info-details/massgis-data-elevation-contours-1250000 for more details.For both datasets, the index contours are labeled in feet above sea level.

  9. d

    Specific Water Quality Sites for Cache County, Utah

    • catalog.data.gov
    • dataone.org
    Updated Nov 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2025). Specific Water Quality Sites for Cache County, Utah [Dataset]. https://catalog.data.gov/dataset/specific-water-quality-sites-for-cache-county-utah
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Utah, Cache County
    Description

    This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Cache County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/

  10. a

    Streams and Water Areas - (cached)

    • hub.arcgis.com
    Updated Aug 17, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Montgomery Maps (2019). Streams and Water Areas - (cached) [Dataset]. https://hub.arcgis.com/maps/42640f27892e4e04a3e7b212277760e0
    Explore at:
    Dataset updated
    Aug 17, 2019
    Dataset authored and provided by
    Montgomery Maps
    Area covered
    Description

    Hydro Cache

  11. g

    LIO Vector Topographic Data Cache

    • geohub.lio.gov.on.ca
    Updated Sep 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ontario Ministry of Natural Resources and Forestry (2024). LIO Vector Topographic Data Cache [Dataset]. https://geohub.lio.gov.on.ca/maps/21d56295c8854c0c82ef41d55c7ce91d
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    The topographic data includes constructed and natural features that make up Ontario’s landscape.

    The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories.

    Technical information Two versions of the LIO Topographic Data Cache are available:

    The traditional raster version is available for a variety of GIS applications and is updated annually. The vector version is suitable for online web map applications as well as modern GIS software and is updated twice a year. Contributing data layers may have different maintenance and update cycles.

    Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data.

    The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data.The LIO Vector Topographic Data Cache is created from many source datasets as described in the LIO Topographic Data Cache user guide. If you are interested in obtaining this authoritative data, you can download it from the Ontario GeoHub.

    Additional Documentation

    LIO Topographic Data Cache - User Guide (DOCX)

    LIO Vector Topographic Data Cache - Tile Layer

    Status

    On going: Data is continually being updated

    Maintenance and Update Frequency

    Biannually: data is updated twice each year

    Contact

    Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  12. a

    LIO Topographic Data Cache

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    • +1more
    Updated Mar 1, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ontario Ministry of Natural Resources and Forestry (2012). LIO Topographic Data Cache [Dataset]. https://hub.arcgis.com/maps/mnrf::lio-topographic-data-cache
    Explore at:
    Dataset updated
    Mar 1, 2012
    Dataset authored and provided by
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    The Land Information Ontario (LIO) Topographic Data Cache is a collection of topographic data built using a series of pre-drawn maps. The maps are compressed for fast, seamless display at predefined scales. The topographic data includes constructed and natural features that make up Ontario’s landscape. The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories. Technical information The cache is updated every year, but the contributing data layers may have different maintenance and update cycles. Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data. The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data. The LIO Topographic Data Cache is created from many source datasets as described in the LIO Topographic Data Cache user guide. If you are interested in obtaining this authoritative data, you can download it from Geospatial Ontario. Contact Geospatial Ontario at geospatial@ontario.ca to get a copy of the cache for use in mapping applications. Additional DocumentationLIO Topographic Data Cache - User Guide (DOCX) LIO Topographic Data Cache - layer file linking to web serviceLIO Web Service User GuideStatus On going: Data is continually being updated Maintenance and Update Frequency Annually: Data is updated every year Contact Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  13. w

    USGS Hydro Cached Base Map Service from The National Map

    • data.wu.ac.at
    • catalog.data.gov
    esri rest, wms
    Updated Feb 8, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey, Department of the Interior (2018). USGS Hydro Cached Base Map Service from The National Map [Dataset]. https://data.wu.ac.at/schema/data_gov/ZTBlNGQ2N2EtODU4ZC00NWI0LWI1MzctN2EyMDc4NzA4YTZm
    Explore at:
    esri rest, wmsAvailable download formats
    Dataset updated
    Feb 8, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    42a8ba80e7dec79125137944271f8d1e5358b51e
    Description

    The National Hydrography Dataset (NHD) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance and stewardship. For additional information, go to https://nhd.usgs.gov.

  14. d

    Cache River National Wildlife Refuge [Land Status Map: Sheet 8 of 9].

    • datadiscoverystudio.org
    Updated May 21, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Cache River National Wildlife Refuge [Land Status Map: Sheet 8 of 9]. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/299b48554fda4cb5bbb0807c561c9409/html
    Explore at:
    Dataset updated
    May 21, 2018
    Description

    description: This map was produced by the Division of Realty to depict landownership at Cache River National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.; abstract: This map was produced by the Division of Realty to depict landownership at Cache River National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.

  15. Uinta-Wasatch-Cache Forest Map

    • usfs.hub.arcgis.com
    Updated Mar 23, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2018). Uinta-Wasatch-Cache Forest Map [Dataset]. https://usfs.hub.arcgis.com/maps/71ab80c04fe041d8bd291bddd451c9e6
    Explore at:
    Dataset updated
    Mar 23, 2018
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    Description

    Overview map of the Uinta-Wasatch-Cache National Forest.

  16. g

    USGS Hydro Cached Base Map Service from The National Map | gimi9.com

    • gimi9.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    USGS Hydro Cached Base Map Service from The National Map | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_usgs-hydro-cached-base-map-service-from-the-national-map/
    Explore at:
    Description

    ​This service is a cached overlay of a cartographic representation of the National Hydrography Dataset (NHD). ​The NHD is a comprehensive set of digital ​geo​spatial data that encodes information about naturally occurring and constructed bodies of surface water​, paths through which water flows​, ​related features​ such as stream gages and dams​​, and additional hydrologic information​. ​It is available nationwide ​in a 1:24,000-scale seamless dataset, referred to as high resolution NHD. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance and stewardship. For additional information, go to http://nhd.usgs.gov. Additional datasets are used for small-scale hydrography representation as well​, including medium resolution NHDPlus published by EPA​; USGS Small-Scale hydrography; and bathymetry from ETOPO1 Global Relief, provided by NOAA National Centers for Environmental Information, U.S. Coastal Relief Model.

  17. Topographic map of Norway greyscale cache

    • kartkatalog.geonorge.no
    • data.europa.eu
    Updated Jan 5, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kartverket (2018). Topographic map of Norway greyscale cache [Dataset]. https://kartkatalog.geonorge.no/metadata/topographic-map-of-norway-greyscale-cache/6e41f528-3684-4b0c-9d72-b6bf2c7b075d
    Explore at:
    Dataset updated
    Jan 5, 2018
    Dataset provided by
    Statens kartverkhttp://www.kartverket.no/
    Authors
    Kartverket
    License

    http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApplyhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApply

    Area covered
    Norge
    Description

    Tjenesten inneholder topografiske kart i målestokken 1:500 til 1:10M. Tjenesten inneholder kartdata, fbk og vbase data, men ikke matrikkel data. Matrikkel data kan bli funnet i en egen wms-tjeneste kalt Matrikkel Enkel WMS

    Example kall: https://cache.kartverket.no/topograatone/v1/wmts/1.0.0/?layer=topograatone&style=default&tilematrixset=utm33n&Service=WMTS&Request=GetTile&Version=1.0.0&Format=image%2Fpng&TileMatrix=10&TileCol=506&TileRow=435

  18. Queensland watercourse and water area cached web map service

    • data.qld.gov.au
    • researchdata.edu.au
    wms, xml
    Updated Dec 20, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Natural Resources and Mines, Manufacturing and Regional and Rural Development (2023). Queensland watercourse and water area cached web map service [Dataset]. https://www.data.qld.gov.au/dataset/queensland-watercourse-and-water-area-cached-web-map-service-json
    Explore at:
    xml(1 KiB), wms(1 bytes)Available download formats
    Dataset updated
    Dec 20, 2023
    Authors
    Natural Resources and Mines, Manufacturing and Regional and Rural Development
    License

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

    Area covered
    Queensland
    Description

    This web map service displays the watercourse network and areas of inland surface water in Queensland. Water areas include lakes,reservoir and man-made canals. This cached service is limited to display at scales between 1:4,622,324 and 1:4,514 and is designed to be used in conjunction with the WaterCoursesAndBodies service for large scale levels from 1:4513 to 1:1.

  19. a

    Land Cover-Land Use (2016) Tile Cache

    • geo-massdot.opendata.arcgis.com
    • hub.arcgis.com
    Updated May 30, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2019). Land Cover-Land Use (2016) Tile Cache [Dataset]. https://geo-massdot.opendata.arcgis.com/datasets/massgis::land-cover-land-use-2016-tile-cache
    Explore at:
    Dataset updated
    May 30, 2019
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This Land Cover-Land Use Tile Cache may be used for fast display in ArcGIS Online, ArcGIS Desktop, and other applications that can consume tile services.The statewide dataset contains a combination of land cover mapping from 2016 aerial imagery and land use derived from standardized assessor parcel information for Massachusetts. The data layer is the result of a cooperative project between MassGIS and the National Oceanic and Atmospheric Administration’s (NOAA) Office of Coastal Management (OCM). Funding was provided by the Mass. Executive Office of Energy and Environmental Affairs.

    This land cover/land use dataset does not conform to the classification schemes or polygon delineation of previous land use data from MassGIS (1951-1999; 2005).In this hosted tile cache layer, all impervious polygons are symbolized by their generalized use code; all non-impervious land cover polygons are symbolized by their land cover category. The idea behind this method is to use both cover and use codes to provide a truer picture of how land is being used: parcel use codes may indicate allowed or assessed, not actual use; land cover alone (especially impervious) does not indicate actual use.

    See the full datalayer description for more details.Also available are a Map Service and a Feature Service. They provide attribute query, although they will not display as quickly as the tile cache at smaller (zoomed out) scales.Add the Land Cover-Land Use Legend Map Service to an ArcGIS Online map along with this tile service to have a legend appear.

  20. n

    Latest Orthoimagery - Cached

    • nconemap.gov
    • hub.arcgis.com
    • +1more
    Updated Mar 14, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NC OneMap / State of North Carolina (2023). Latest Orthoimagery - Cached [Dataset]. https://www.nconemap.gov/datasets/latest-orthoimagery-cached/about
    Explore at:
    Dataset updated
    Mar 14, 2023
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    Description

    NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year).This service represents the most recent true color imagery for the state of North Carolina. It represents the most recent imagery NC OneMap has for any location in the state. The imagery has a pixel resolution of 6 inches. Individual pixel values may have been altered during image processing. Therefore, this service should be used for general reference and viewing. Image analysis requiring examination of individual pixel values is discouraged. This is a cached image service and is WGS84 Web Mercator.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Mark Marvin-DiPasquale; Elizabeth Stumpner; Charles Alpers; Lisamarie Windham-Myers; Jacob Fleck; Le Kieu; Evangelos Kakouros; James Orlando; Peter Bennett; Shanna Rose (2018). Habitat Maps for the Cache Creek Settling Basin, Yolo County, California [Dataset]. http://doi.org/10.5066/P9MDXR3M

Habitat Maps for the Cache Creek Settling Basin, Yolo County, California

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 16, 2018
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Mark Marvin-DiPasquale; Elizabeth Stumpner; Charles Alpers; Lisamarie Windham-Myers; Jacob Fleck; Le Kieu; Evangelos Kakouros; James Orlando; Peter Bennett; Shanna Rose
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Time period covered
Jun 1, 2012 - Jul 1, 2012
Area covered
Yolo County, California, Cache Creek Settling Basin
Description

The geospatial data presented here as ArcGIS layers denote landcover/landuse classifications to support field sampling efforts that occurred within the Cache Creek Settling Basin (CCSB) from 2010-2019. Manual photointerpretation of a National Agriculture Imagery Program (NAIP) dataset collected in 2012 was used to characterize landcover/landuse categories (hereafter habitat classes). Initially 9 categories were assigned based on vegetation structure (Vegtype1). These were then parsed into two levels of habitat classes that were chosen for their representativeness and use for statistical analyses of field sampling. At the coarsest level (Landcover 1), five habitat classes were assigned: Agriculture, Riparian, Floodplain, Open Water, and Road. At the more refined level (Landcover 2), ten habitat classes were nested within these five categories. Agriculture was not further refined within Landcover 2, as little consistency was expected between years as fields rotated between corn, ...

Search
Clear search
Close search
Google apps
Main menu