100+ datasets found
  1. MAP for website - Satellite Maps Global Archive

    • noaa.hub.arcgis.com
    Updated Aug 4, 2023
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    NOAA GeoPlatform (2023). MAP for website - Satellite Maps Global Archive [Dataset]. https://noaa.hub.arcgis.com/maps/9990fe7bfb164529b6840ef56d25d916
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    Dataset updated
    Aug 4, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

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

    Area covered
    Description

    This application is intended for informational purposes only and is not an operational product. The tool provides the capability to access, view and interact with satellite imagery, and shows the latest view of Earth as it appears from space.This website should not be used to support operational observation, forecasting, emergency, or disaster mitigation operations, either public or private. In addition, we do not provide weather forecasts on this site — that is the mission of the National Weather Service. Please contact them for any forecast questions or issues.Using the Maps​What does the Layering Options icon mean?The Layering Options widget provides a list of operational layers and their symbols, and allows you to turn individual layers on and off. The order in which layers appear in this widget corresponds to the layer order in the map. The top layer ‘checked’ will indicate what you are viewing in the map, and you may be unable to view the layers below.Layers with expansion arrows indicate that they contain sublayers or subtypes.Do these maps work on mobile devices and different browsers?Yes!Why are there black stripes / missing data on the map?NOAA Satellite Maps is for informational purposes only and is not an operational product; there are times when data is not available.Why are the North and South Poles dark?The raw satellite data used in these web map apps goes through several processing steps after it has been acquired from space. These steps translate the raw data into geospatial data and imagery projected onto a map. NOAA Satellite Maps uses the Mercator projection to portray the Earth's 3D surface in two dimensions. This Mercator projection does not include data at 80 degrees north and south latitude due to distortion, which is why the poles appear black in these maps. NOAA's polar satellites are a critical resource in acquiring operational data at the poles of the Earth and some of this imagery is available on our website (for example, here ).Why does the imagery load slowly?This map viewer does not load pre-generated web-ready graphics and animations like many satellite imagery apps you may be used to seeing. Instead, it downloads geospatial data from our data servers through a Map Service, and the app in your browser renders the imagery in real-time. Each pixel needs to be rendered and geolocated on the web map for it to load.How can I get the raw data and download the GIS World File for the images I choose?The geospatial data Map Service for the NOAA Satellite Maps GOES satellite imagery is located on our Satellite Maps ArcGIS REST Web Service ( available here ).We support open information sharing and integration through this RESTful Service, which can be used by a multitude of GIS software packages and web map applications (both open and licensed).Data is for display purposes only, and should not be used operationally.Are there any restrictions on using this imagery?NOAA supports an open data policy and we encourage publication of imagery from NOAA Satellite Maps; when doing so, please cite it as "NOAA" and also consider including a permalink (such as this one) to allow others to explore the imagery.For acknowledgment in scientific journals, please use:We acknowledge the use of imagery from the NOAA Satellite Maps application: LINKThis imagery is not copyrighted. You may use this material for educational or informational purposes, including photo collections, textbooks, public exhibits, computer graphical simulations and internet web pages. This general permission extends to personal web pages.About this satellite imageryWhat am I seeing in the Global Archive Map?In this map, you will see the whole Earth as captured each day by our polar satellites, based on our multi-year archive of data. This data is provided by NOAA’s polar orbiting satellites (NOAA/NASA Suomi NPP from January 2014 to April 19, 2018 and NOAA-20 from April 20, 2018 to today). The polar satellites circle the globe 14 times a day taking in one complete view of the Earth every 24 hours. This complete view is what is projected onto the flat map scene each morning.What is global true color imagery?The global ‘true color’ map displays land, water and clouds as they would appear to our eye from space, captured each day by NOAA-20.This ‘true color’ imagery is created using the VIIRS sensors onboard the NOAA-20 and Suomi NPP polar orbiting satellites. Although true-color images like this may appear to be photographs of Earth, they aren't. They are created by combining data from the three color bands on the VIIRS instrument sensitive to the red, green and blue (or RGB) wavelengths of light into one composite image. In addition, data from several other bands are often also included to cancel out or correct atmospheric interference that may blur parts of the image. Learn more about the VIIRS sensor here.About the satellitesWhat is the NOAA-20 satellite?Launched in November 2017, NOAA-20 is NOAA's newest polar-orbiting satellite, and the first of the Joint Polar Satellite System (JPSS) series, a collaborative effort between NOAA and NASA. As the backbone of the global satellite observing system, NOAA-20 circles the Earth from pole to pole and crosses the equator about 14 times daily, providing full global coverage twice daily - from 512 miles away. The satellite's instruments measure temperature, water vapor, ozone, precipitation, fire and volcanic eruptions, and can distinguish snow and ice cover under clouds. This data enables more accurate weather forecasting for the United States and the world.

  2. S

    3D Maps

    • sead-published.ncsa.illinois.edu
    Updated Aug 9, 2016
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    Campbell, Karen (https://www.linkedin.com/in/karen-campbell-1336965); Morin, Paul (2016). 3D Maps [Dataset]. http://doi.org/10.5967/M0NP22DR
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    Dataset updated
    Aug 9, 2016
    Dataset provided by
    http://www.nationaldataservice.org/
    Authors
    Campbell, Karen (https://www.linkedin.com/in/karen-campbell-1336965); Morin, Paul
    License

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

    Description

    NCED is currently involved in researching the effectiveness of anaglyph maps in the classroom and are working with educators and scientists to interpret various Earth-surface processes. Based on the findings of the research, various activities and interpretive information will be developed and available for educators to use in their classrooms. Keep checking back with this website because activities and maps are always being updated. We believe that anaglyph maps are an important tool in helping students see the world and are working to further develop materials and activities to support educators in their use of the maps.

    This website has various 3-D maps and supporting materials that are available for download. Maps can be printed, viewed on computer monitors, or projected on to screens for larger audiences. Keep an eye on our website for more maps, activities and new information. Let us know how you use anaglyph maps in your classroom. Email any ideas or activities you have to ncedmaps@umn.edu

    Anaglyph paper maps are a cost effective offshoot of the GeoWall Project. Geowall is a high end visualization tool developed for use in the University of Minnesota's Geology and Geophysics Department. Because of its effectiveness it has been expanded to 300 institutions across the United States. GeoWall projects 3-D images and allows students to see 3-D representations but is limited because of the technology. Paper maps are a cost effective solution that allows anaglyph technology to be used in classroom and field-based applications.

    Maps are best when viewed with RED/CYAN anaglyph glasses!

    A note on downloading: "viewable" maps are .jpg files; "high-quality downloads" are .tif files. While it is possible to view the latter in a web-browser in most cases, the download may be slow. As an alternative, try right-clicking on the link to the high-quality download and choosing "save" from the pop-up menu that results. Save the file to your own machine, then try opening the saved copy. This may be faster than clicking directly on the link to open it in the browser.

    World Map: 3-D map that highlights oceanic bathymetry and plate boundaries.

    Continental United States: 3-D grayscale map of the Lower 48.

    Western United States: 3-D grayscale map of the Western United States with state boundaries.

    Regional Map: 3-D greyscale map stretching from Hudson Bay to the Central Great Plains. This map includes the Western Great Lakes and the Canadian Shield.

    Minnesota Map: 3-D greyscale map of Minnesota with county and state boundaries.

    Twin Cities: 3-D map extending beyond Minneapolis and St. Paul.

    Twin Cities Confluence Map: 3-D map highlighting the confluence of the Mississippi and Minnesota Rivers. This map includes most of Minneapolis and St. Paul.

    Minneapolis, MN: 3-D topographical map of South Minneapolis.

    Bassets Creek, Minneapolis: 3-D topographical map of the Bassets Creek watershed.

    North Minneapolis: 3-D topographical map highlighting North Minneapolis and the Mississippi River.

    St. Paul, MN: 3-D topographical map of St. Paul.

    Western Suburbs, Twin Cities: 3-D topographical map of St. Louis Park, Hopkins and Minnetonka area.

    Minnesota River Valley Suburbs, Twin Cities: 3-D topographical map of Bloomington, Eden Prairie and Edina area.

    Southern Suburbs, Twin Cities: 3-D topographical map of Burnsville, Lakeville and Prior Lake area.

    Southeast Suburbs, Twin Cities: 3-D topographical map of South St. Paul, Mendota Heights, Apple Valley and Eagan area.

    Northeast Suburbs, Twin Cities: 3-D topographical map of White Bear Lake, Maplewood and Roseville area.

    Northwest Suburbs, Mississippi River, Twin Cities: 3-D topographical map of North Minneapolis, Brooklyn Center and Maple Grove area.

    Blaine, MN: 3-D map of Blaine and the Mississippi River.

    White Bear Lake, MN: 3-D topographical map of White Bear Lake and the surrounding area.

    Maple Grove, MN: 3-D topographical map of the NW suburbs of the Twin Cities.

    Minnesota River: 3-D topographical map of the Minnesota River Valley highlighting the river bend in Mankato.

    St. Croix River: 3-D topographical map of the St. Croix extending from Taylors Falls to the Mississippi confluence.

    Mississippi River, Lake Pepin: 3-D topographical map of the confluence of Chippewa Creek and the Mississippi River.

    Red Wing, MN: 3-D topographical map of Redwing, MN on the Mississippi River.

    Winona, Minnesota: 3-D topographical map of Winona, MN highlighting the Mississippi River.

    Cannon Falls, MN: 3-D topographical map of Cannon Falls area.

    Rochester, MN: 3-D topographical map of Rochester and the surrounding area.

    Northfield, MN: 3-D topographical map of Northfield and the surrounding area.

    St. Louis River, MN: 3-D map of the St. Louis River and Duluth, Minnesota.

    Lake Itasca, MN: 3-D map of the source of the Mississippi River.

    Elmore, MN: 3-D topographical map of Elmore, MN in south-central Minnesota.

    Glencoe, MN: 3-D topographical map of Glencoe, MN.

    New Prague, MN: 3-D topographical map of the New Prague in south-central Minnesota.

    Plainview, MN: 3-D topographical map of Plainview, MN.

    Waterville-Morristown: 3-D map of the Waterville-Morris area in south-central Minnesota.

    Eau Claire, WI: 3-D map of Eau Claire highlighting abandon river channels.

    Dubuque, IA: 3-D topographical map of Dubuque and the Mississippi River.

    Londonderry, NH: 3-D topographical map of Londonderry, NH.

    Santa Cruz, CA: 3-D topographical map of Santa Cruz, California.

    Crater Lake, OR: 3-D topographical map of Crater Lake, Oregon.

    Mt. Rainier, WA: 3-D topographical map of Mt. Rainier in Washington.

    Grand Canyon, AZ: 3-D topographical map of the Grand Canyon.

    District of Columbia: 3-D map highlighting the confluence of the rivers and the Mall.

    Ireland: 3-D grayscale map of Ireland.

    New Jersey: 3-D grayscale map of New Jersey.

    SP Crater, AZ: 3-D map of random craters in the San Francisco Mountains.

    Mars Water Features: 3-D grayscale map showing surface water features from Mars.

  3. USGS Historical Topographic Map Explorer

    • data.amerigeoss.org
    • amerigeo.org
    • +2more
    Updated Oct 10, 2019
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    Esri (2019). USGS Historical Topographic Map Explorer [Dataset]. https://data.amerigeoss.org/dataset/usgs-historical-topographic-map-explorer1
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Oct 10, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Description

    The ArcGIS Online US Geological Survey (USGS) topographic map collection now contains over 177,000 historical quadrangle maps dating from 1882 to 2006. The USGS Historical Topographic Map Explorer app brings these maps to life through an interface that guides users through the steps for exploring the map collection:

    • Find a location of interest.
    • View the maps.
    • Compare the maps.
    • Download and share the maps or open them in ArcGIS Desktop (ArcGIS Pro or ArcMap) where places will appear in their correct geographic location.
    • Save the maps in an ArcGIS Online web map.

    Finding the maps of interest is simple. Users can see a footprint of the map in the map view before they decide to add it to the display, and thumbnails of the maps are shown in pop-ups on the timeline. The timeline also helps users find maps because they can zoom and pan, and maps at select scales can be turned on or off by using the legend boxes to the left of the timeline. Once maps have been added to the display, users can reorder them by dragging them. Users can also download maps as zipped GeoTIFF images. Users can also share the current state of the app through a hyperlink or social media. This ArcWatch article guides you through each of these steps: https://www.esri.com/esri-news/arcwatch/1014/envisioning-the-past.


    Once signed in, users can create a web map with the current map view and any maps they have selected. The web map will open in ArcGIS Online. The title of the web map will be the same as the top map on the side panel of the app. All historical maps that were selected in the app will appear in the Contents section of the web map with the earliest at the top and the latest at the bottom. Turning the historical maps on and off or setting the transparency on the layers allows users to compare the historical maps over time. Also, the web map can be opened in ArcGIS Desktop (ArcGIS Pro or ArcMap) and used for exploration or data capture.

    Users can find out more about the USGS topograhic map collection and the app by clicking on the information button at the upper right. This opens a pop-up with information about the maps and app. The pop-up includes a useful link to a USGS web page that provides access to documents with keys explaining the symbols on historic and current USGS topographic maps. The pop-up also has a link to send Esri questions or comments about the map collection or the app.

    We have shared the updated app on GitHub, so users can download it and configure it to work with their own map collections.

  4. Story Map Basic (Mature)

    • data-salemva.opendata.arcgis.com
    • noveladata.com
    • +1more
    Updated Nov 17, 2015
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    esri_en (2015). Story Map Basic (Mature) [Dataset]. https://data-salemva.opendata.arcgis.com/items/94c57691bc504b80859e919bad2e0a1b
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    Dataset updated
    Nov 17, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    The Story Map Basic application is a simple map viewer with a minimalist user interface. Apart from the title bar, an optional legend, and a configurable search box the map fills the screen. Use this app to let your map speak for itself. Your users can click features on the map to get more information in pop-ups. The Story Map Basic application puts all the emphasis on your map, so it works best when your map has great cartography and tells a clear story.You can create a Basic story map by sharing a web map as an application from the map viewer. You can also click the 'Create a Web App' button on this page to create a story map with this application. Optionally, the application source code can be downloaded for further customization and hosted on your own web server.For more information about the Story Map Basic application, a step-by-step tutorial, and a gallery of examples, please see this page on the Esri Story Maps website.

  5. a

    Dark Gray Canvas

    • hub.arcgis.com
    Updated Jun 1, 2015
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    Iowa Department of Transportation (2015). Dark Gray Canvas [Dataset]. https://hub.arcgis.com/maps/IowaDOT::dark-gray-canvas/about
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    Dataset updated
    Jun 1, 2015
    Dataset authored and provided by
    Iowa Department of Transportation
    License

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

    Area covered
    Description

    This web map draws attention to your thematic content by providing a dark, neutral background with minimal colors, labels, and features. Only key information is represented to provide geographic context, allowing your data to come to the foreground. Open this web map and choose the "Add" button at the top to add your thematic content, or drag and drop your GIS-ready data to the map.This web map uses the World Dark Gray Base map service as its basemap. This web map also contains the World Dark Gray Reference map service to provide labels for selected cities and towns.This dark gray web map supports bright colors and labels for your theme, creating a visually compelling map graphic which helps your reader see the patterns intended. See this blog post for more information on how to use this map.The map shows populated places, water, roads, urban areas, parks, building footprints, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority. This map was compiled by Esri using HERE data, DeLorme basemap layers, MapmyIndia data, and Esri basemap data. The basemap includes boundaries, administrative labels, and major roads worldwide from 1:591M scale to 1:577k scale. More detailed nationwide coverage is included in North America, Africa, South America and Central America, the Middle East, India, Australia, and New Zealand down to the 1:9k scale. Data for select areas of Africa and Pacific Island nations from ~1:288k to ~1:9k was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.In addition, some of the data in the World Dark Gray Base map service has been contributed by the GIS community. You can contribute your data to this service and have it served by Esri. For details, see the Community Maps Program. For details on data sources in this map service, view the list of Contributors for the World Dark Gray Base map. Note: The light gray basemap is not supported in ArcGIS for Desktop 9.3 or 9.3.1 because it uses the mixed cache format (both JPEG and PNG).

  6. Outline Map

    • indianamap.org
    • opendata-cosagis.opendata.arcgis.com
    • +7more
    Updated Jan 30, 2021
    + more versions
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    Esri (2021). Outline Map [Dataset]. https://www.indianamap.org/maps/esri::outline-map-1/about
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    Dataset updated
    Jan 30, 2021
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This vector web map features outline maps of the World. The maps can be used for coloring and other fun activities by budding cartographers. These outline maps are great for teaching children about our World. Have them color and label countries, regions and bodies of water. Limited labels appear on the map at large scales. After coloring the city maps, children can do further research to learn more about these places. These maps are also available in a printable PDF format. See this blog with more details on how to work with the vector maps in ArcGIS Pro.For other creatively designed Esri vector basemaps, see the ArcGIS Living Atlas of the World gallery.

  7. 3.7cm Resolution Metadata

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    Updated Dec 12, 2009
    + more versions
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    Esri (2009). 3.7cm Resolution Metadata [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/maps/esri::3-7cm-resolution-metadata-114
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    Dataset updated
    Dec 12, 2009
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:Worldwide 15-m resolution TerraColor imagery at small and medium map scales.Maxar imagery basemap products around the world: Vivid Premium at 15-cm HD resolution for select metropolitan areas, Vivid Advanced 30-cm HD for more than 1,000 metropolitan areas, and Vivid Standard from 1.2-m to 0.6-cm resolution for the most of the world, with 30-cm HD across the United States and parts of Western Europe. More information on the Maxar products is included below. High-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 30-cm to 3-cm resolution. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program.Maxar Basemap ProductsVivid PremiumProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.Vivid AdvancedProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.Vivid StandardProvides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD. More on Maxar HD.Updates and CoverageYou can use the World Imagery Updates app to learn more about recent updates and map coverage.CitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map.FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  8. Landfill Site Selection Suitability Map of Turkiye

    • figshare.com
    tiff
    Updated Mar 10, 2024
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    Muhammed Oguzhan Mete; Muhammed Yahya Biyik (2024). Landfill Site Selection Suitability Map of Turkiye [Dataset]. http://doi.org/10.6084/m9.figshare.24105393.v3
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Mar 10, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Muhammed Oguzhan Mete; Muhammed Yahya Biyik
    License

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

    Area covered
    Türkiye
    Description

    This is a raster-based suitability map of landfill sites produced after the February 6, 2023, Türkiye earthquakes centred on Kahramanmaraş - Pazarcık and Kahramanmaraş - Elbistan. In this study, a site selection model was developed using open-source Geographic Information Systems (GIS) software and the Best-Worst Method (BWM), one of the Multi-Criteria Decision-Making Methods, to determine the most suitable landfill areas immediately after the earthquake.The suitability map of the landfill sites can be accessed through the Serverless Cloud-GIS based Disaster Management Portal at https://web.itu.edu.tr/metemu/nominal/deprem.htmlThe pairwise comparison matrix, weight calculation, and sensitivity analysis are also provided in the MS Excel file.

  9. m

    eAtlas Web Mapping Service (WMS) - Legacy MTSRF Server (AIMS)

    • demo.dev.magda.io
    • data.gov.au
    • +1more
    html
    Updated Oct 8, 2023
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    Australian Institute of Marine Science (2023). eAtlas Web Mapping Service (WMS) - Legacy MTSRF Server (AIMS) [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-c37936d1-9979-44f0-a5f2-87e2933bb7c7
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 8, 2023
    Dataset provided by
    Australian Institute of Marine Science
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes …Show full descriptionThe eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the legacy WMS. This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef. The majority of the layers corresponding to Glenn De'ath's interpolated maps of the GBR developed under the MTSRF program (2008-2010). This web map service is predominantly maintained for the legacy eAtlas map viewer (http://maps.eatlas.org.au/geoserver/www/map.html). All the these legacy map layers are available through the new eAtlas mapping portal (http://maps.eatlas.org.au), however the legends have not been ported across. This WMS is implemented using GeoServer version 1.7 software hosted on a server at the Australian Institute of Marine Science. For ArcMap use the following steps to add this service: "Add Data" then choose GIS Servers from the "Look in" drop down. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/geoserver/wms?" Note: this service has around 460 layers of which approximately half the layers correspond to Standard Error maps, which are WRONG (please ignore all *Std_Error layers. This services is operated by the Australian Institute of Marine Science and co-funded by the MTSRF program.

  10. Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter...

    • catalog.data.gov
    • datasets.ai
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida (NPS, GRD, GRI, GUIS, GUIS_geomorphology digital map) adapted from U.S. Geological Survey Open File Report maps by Morton and Rogers (2009) and Morton and Montgomery (2010) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-gulf-islands-national-seashore-5-meter-accuracy-and-1-foot-r
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    United States
    Description

    The Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (guis_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (guis_geomorphology_metadata_faq.pdf). Please read the guis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guis_geomorphology_metadata.txt or guis_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  11. GeoJunxion map tile server for your mobile or desktop application

    • datarade.ai
    Updated Sep 17, 2022
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    Geojunxion (2022). GeoJunxion map tile server for your mobile or desktop application [Dataset]. https://datarade.ai/data-products/geojunxion-map-tile-server-for-your-mobile-or-desktop-applica-geojunxion
    Explore at:
    Dataset updated
    Sep 17, 2022
    Dataset provided by
    GeoJunxionhttp://www.geojunxion.com/
    Authors
    Geojunxion
    Area covered
    Mexico, Cocos (Keeling) Islands, Serbia, Guyana, Cambodia, State of, Puerto Rico, Sierra Leone, Guam, Jordan
    Description

    GeoJunxion uses a combination of methods to make this service very fast and efficient. The map service comes with on-demand tile rendering, often with smart-tiling, and custom styling. With smart tiling, all populated areas are pre-rendered to provide super-fast response to map requests.

    KEY FEATURES

    • 3 databases: GeoJunxion Maps, OSM Maps, Aerial/Satellite Imagery. • 4 custom map styles: GeoJunxion MapStyle, OSM Generic/Default, OSM Bright, OSM Bright with house numbers • Map tiles are delivered following the Slippy Maps convention.

    TYPICAL USE CASES

    The OSM Map Tile Server will help to display business locations on a map within a company website, it will also show moving objects on a map within a track & trace application. And furthermore it will also Provide an overview to a company’s assets on a map, as well as include geospatial analysis results within a GIS solution

    BENEFITS

    OSM Map Tile Server enables you to view online maps within websites or alternatively to view those maps hosted on premise through GIS software

    DELIVERY FORMATS API

    COVERAGE GeoJunxion, OSM: World Aerial/Satellite Imagery: The Netherlands, Flanders (Belgium)

    The GeoJunxion Tile Server is the easiest way to receive map tiles to use within your own organization, application and with your preferred map viewer. The GeoJunxion Tile Server installation is Quick & Easy.

    Security: On your own server or in the cloud Smart: Intelligent Map Tiling Quick & Easy: Seamless set-up of map tiles Legal: GeoJuxnion as an European contract party Helpdesk: Support from GeoJunxion with SLA LBS: Additional APIs available

    On your own server or in the cloud: With the GeoJunxion Tile Server you can host your own map tiles in your own secure environment. You control your own data and connections. Alternatively, GeoJunxion can host the map tiles in the cloud for you.

    OSM for Professional use: GeoJunxion offers enhanced services on top of OpenStreetMap for Professional use. The GeoJunxion Tile Server is part of the OSM for Professionals product portfolio: GeoJunxion will your contract party GeoJunxion can offer support on OSM services based on an agreed SLAControlled QA/QC reports on OpenStreetMap

    Slippy Map

    The provided map tiles can be used in a modern slippy map web map application which let you zoom and pan around. With a slippy map, basically, the map slips around when you drag the mouse. More info regarding this kind of map, can be found here: https://wiki.openstreetmap.org/wiki/Slippy_Map. Slippy Map - OpenStreetMap Wiki

  12. E

    Land Cover Map 2015 (vector, GB)

    • catalogue.ceh.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +1more
    Updated Apr 12, 2017
    + more versions
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    C.S. Rowland; R.D. Morton; L. Carrasco; G. McShane; A.W. O'Neil; C.M. Wood (2017). Land Cover Map 2015 (vector, GB) [Dataset]. http://doi.org/10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73
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    Dataset updated
    Apr 12, 2017
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    C.S. Rowland; R.D. Morton; L. Carrasco; G. McShane; A.W. O'Neil; C.M. Wood
    Time period covered
    Jan 1, 2014 - Dec 1, 2015
    Area covered
    Description

    This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.

  13. Dynamic National Map Relief and Physiography WMS

    • devweb.dga.links.com.au
    • data.wu.ac.at
    Updated Jan 20, 2025
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    Geoscience Australia (2025). Dynamic National Map Relief and Physiography WMS [Dataset]. https://devweb.dga.links.com.au/data/dataset/dynamic-national-map-relief-and-physiography-wms
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    wms, 0main%20features32008Available download formats
    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Geoscience Australiahttp://ga.gov.au/
    Description

    This service has been created specifically for display in the National Map and the chosen symbology may not suit other mapping applications. The Australian Topographic web map service is seamless national dataset coverage for the whole of Australia. These data are best suited to graphical applications. These data may vary greatly in quality depending on the method of capture and digitising specifications in place at the time of capture. The web map service portrays detailed graphic representation of features that appear on the Earth's surface. These features include the relief and physiography themes from the Geoscience Australia 250K Topographic Data. The service contains layer scale dependencies.

  14. A

    World Ocean Base

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Apr 24, 2019
    + more versions
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    AmeriGEO ArcGIS (2019). World Ocean Base [Dataset]. https://data.amerigeoss.org/dataset/world-ocean-base
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    html, csv, zip, kml, esri rest, geojsonAvailable download formats
    Dataset updated
    Apr 24, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Area covered
    World
    Description

    The map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap focuses on bathymetry. It also includes inland waters and roads, overlaid on land cover and shaded relief imagery.


    The Ocean Base map currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas.

    The World Ocean Reference is designed to be drawn on top of this map and provides selected city labels throughout the world. This web map lets you view the World Ocean Base with the Reference service drawn on top. Article in the Fall 2011 ArcUser about this basemap: "A Foundation for Ocean GIS".

    The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and Garmin, HERE, and Esri for topographic content. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details on the users who contributed bathymetric data for this map via the Community Maps Program, view the list of Contributors for the Ocean Basemap. The basemap was designed and developed by Esri.

    The GEBCO_08 Grid is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. In some areas, data from existing grids are included. The GEBCO_08 Grid does not contain detailed information in shallower water areas, information concerning the generation of the grid can be found on GEBCO's website: https://www.gebco.net/data_and_products/gridded_bathymetry_data/. The GEBCO_08 Grid is accompanied by a Source Identifier (SID) Grid which indicates which cells in the GEBCO_08 Grid are based on soundings or existing grids and which have been interpolated. The latest version of both grids and accompanying documentation is available to download, on behalf of GEBCO, from the British Oceanographic Data Centre (BODC) https://www.bodc.ac.uk/data/online_delivery/gebco/.

    The names of the IHO (International Hydrographic Organization), IOC (intergovernmental Oceanographic Commission), GEBCO (General Bathymetric Chart of the Oceans), NERC (Natural Environment Research Council) or BODC (British Oceanographic Data Centre) may not be used in any way to imply, directly or otherwise, endorsement or support of either the Licensee or their mapping system.

    Tip: Here are some famous oceanic locations as they appear this map. Each URL launches this map at a particular location via parameters specified in the URL: Challenger Deep, Galapagos Islands, Hawaiian Islands, Maldive Islands, Mariana Trench, Tahiti, Queen Charlotte Sound, Notre Dame Bay, Labrador Trough, New York Bight, Massachusetts Bay, Mississippi Sound

  15. National Hydrography Dataset Plus Version 2.1

    • resilience.climate.gov
    • hub.arcgis.com
    • +4more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). National Hydrography Dataset Plus Version 2.1 [Dataset]. https://resilience.climate.gov/maps/4bd9b6892530404abfe13645fcb5099a
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Geographic Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: EPA and USGSUpdate Frequency: There is new new data since this 2019 version, so no updates planned in the futurePublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.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.

  16. eAtlas Web Mapping Service (WMS) (AIMS)

    • data.gov.au
    • data.wu.ac.at
    wms
    Updated Jun 24, 2017
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    Australian Institute of Marine Science (2017). eAtlas Web Mapping Service (WMS) (AIMS) [Dataset]. https://data.gov.au/data/dataset/eatlas-web-mapping-service-wms-aims
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    wmsAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Authors
    Australian Institute of Marine Science
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS.

    This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef and its neighbouring coast, the Wet Tropics rainforests and Torres Strait. It also includes lots of reference datasets that provide context for the research data. These reference datasets are sourced mostly from state and federal agencies. In addition to this a number of reference basemaps and associated layers are developed as part of the eAtlas and these are made available through this service.

    This services also delivers map layers associated with the Torres Strait eAtlas.

    This web map service is predominantly set up and maintained for delivery of visualisations through the eAtlas mapping portal (http://maps.eatlas.org.au) and the Australian Ocean Data Network (AODN) portal (http://portal.aodn.org.au). Other portals are free to use this service with attribution, provided you inform us with an email so we can let you know of any changes to the service.

    This WMS is implemented using GeoServer version 2.3 software hosted on a server at the Australian Institute of Marine Science. Associated with each WMS layer is a corresponding cached tiled service which is much faster then the WMS. Please use the cached version when possible.

    The layers that are available can be discovered by inspecting the GetCapabilities document generated by the GeoServer. This XML document lists all the layers, their descriptions and available rendering styles. Most WMS clients should be able to read this document allowing easy access to all the layers from this service.

    For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/maps/wms?"

    Note: this service has over 1000 layers and so retrieving the capabilities documents can take a while.

    This services is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub.

  17. World Soils 250m Percent Clay

    • cacgeoportal.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Oct 25, 2023
    + more versions
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    Esri (2023). World Soils 250m Percent Clay [Dataset]. https://www.cacgeoportal.com/maps/1bfc47d2a0d544bea70588f81aac8afb
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    Dataset updated
    Oct 25, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Soil is the foundation of life on earth. More living things by weight live in the soil than upon it. It determines what crops we can grow, what structures we can build, what forests can take root.This layer contains the physical soil variable percent clay (clay).Within the subset of soil that is smaller than 2mm in size, also known as the fine earth portion, clay is defined as particles that are smaller than 0.002mm, making them only visible in an electron microscope. Clay soils contain low amounts of air, and water drains through them very slowly.This layer is a general, medium scale global predictive soil layer suitable for global mapping and decision support. In many places samples of soils do not exist so this map represents a prediction of what is most likely in that location. The predictions are made in six depth ranges by soilgrids.org, funded by ISRIC based in Wageningen, Netherlands.Each 250m pixel contains a value predicted for that area by soilgrids.org from best available data worldwide. Data for percent clay are provided at six depth ranges from the surface to 2 meters below the surface. Each variable and depth range may be accessed in the layer's multidimensional properties.Dataset SummaryPhenomenon Mapped: Proportion of clay particles (< 0.002 mm) in the fine earth fraction in g/100g (%)Cell Size: 250 metersPixel Type: 32 bit float, converted from online data that is 16 Bit Unsigned IntegerCoordinate System: Web Mercator Auxiliary Sphere, projected via nearest neighbor from goode's homolosine land (250m)Extent: World land area except AntarcticaVisible Scale: All scales are visibleNumber of Columns and Rows: 160300, 100498Source: Soilgrids.orgPublication Date: May 2020Data from the soilgrids.org mean predictions for clay were used to create this layer. You may access the percent clay in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.Mean depth (cm)Actual depth range of data-2.50-5cm depth range-105-15cm depth range-22.515-30cm depth range-4530-60cm depth range-8060-100cm depth range-150100-200cm depth rangeWhat 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 "world soils soilgrids" 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 "world soils soilgrids" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.More information about soilgrids layersAnswers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.This multidimensional soil collection serves the mean or expected value for each soil variable as calculated by soilgrids.org. For all other distributions of the soil variable, be sure to download the data directly from soilgrids.org. The data are available in VRT format and may be converted to other image formats within ArcGIS Pro.Accessing this layer's companion uncertainty layerBecause data quality varies worldwide, the uncertainty of the predicted value varies worldwide. A companion uncertainty layer exists for this layer which you can use to qualify the values you see in this map for analysis. Choose a variable and depth in the multidimensional settings of your map client to access the companion uncertainty layer.

  18. Data from: Mapping the Structure of the Archaeological Web

    • figshare.com
    zip
    Updated Jan 18, 2016
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    Shawn Graham (2016). Mapping the Structure of the Archaeological Web [Dataset]. http://doi.org/10.6084/m9.figshare.1008911.v2
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    zipAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Shawn Graham
    License

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

    Description

    A fileset to accompany an article in a special issue of Internet Archaeology. In this article, I map the structure of the web to understand the context of archaeological blogging. What is the context of our archaeological blogging? When we blog, are we merely shouting into the void? Do archaeological bloggers link only to one another, and do we shout only to each other (which, it must be admitted, is what our journals and conferences do, too, albeit at slower pace)? Assume a person knows nothing about archaeology: would that person find your blog? Your project website? Your department’s website? Does academic blogging matter? One way to answer these questions is through a mapping of the archaeological web. When a layperson finds a site, she might signal its perceived value through linking, retweeting, commenting, and writing her own blog posts about it. Therefore, various network metrics of this map of the archaeological web can be taken as a kind of proxy for evaluating the impact of our blogging. Given that these blogs are all publicly available (if one knows or can find the address), blogging is a kind of public archaeology- not necessarily an archaeology done for the public, but rather an archaeology done in view of the public. It would be interesting to know if this kind of public archaeology has an impact at all. These signals and linkages in the general noise of the internet are the subject of this paper. In order for us as archaeologists to generate the strongest possible signals on the web, we need to understand the structures that have emerged within the web to best facilitate dissemination. This can help us increase our signals’ visiblity, even though all roads eventually lead to Wikipedia.

  19. W

    Great Lakes Bathymetry Web Map Service

    • cloud.csiss.gmu.edu
    html, wms
    Updated Mar 21, 2019
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    GEOSS CSR (2019). Great Lakes Bathymetry Web Map Service [Dataset]. https://cloud.csiss.gmu.edu/uddi/no/dataset/great-lakes-bathymetry-web-map-service
    Explore at:
    wms, htmlAvailable download formats
    Dataset updated
    Mar 21, 2019
    Dataset provided by
    GEOSS CSR
    Area covered
    The Great Lakes
    Description

    NOAA NGDC provides access to U.S. Great Lakes bathymetric contours, digital elevation models, posters and images. These data are available through traditional web database interface and through a Web Map Service.

  20. World Transportation

    • wifire-data.sdsc.edu
    csv, esri rest +4
    Updated Jun 9, 2021
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    Esri (2021). World Transportation [Dataset]. https://wifire-data.sdsc.edu/dataset/world-transportation
    Explore at:
    geojson, kml, esri rest, csv, zip, htmlAvailable download formats
    Dataset updated
    Jun 9, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Area covered
    World
    Description

    This map presents transportation data, including highways, roads, railroads, and airports for the world.

    The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, India, most of the Middle East and Asia, and select countries in Africa. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.

    You can add this layer on top of any imagery, such as the Esri World Imagery map service, to provide a useful reference overlay that also includes street labels at the largest scales. (At the largest scales, the line symbols representing the streets and roads are automatically hidden and only the labels showing the names of streets and roads are shown). Imagery With Labels basemap in the basemap dropdown in the ArcGIS web and mobile clients does not include this World Transportation map. If you use the Imagery With Labels basemap in your map and you want to have road and street names, simply add this World Transportation layer into your map. It is designed to be drawn underneath the labels in the Imagery With Labels basemap, and that is how it will be drawn if you manually add it into your web map.

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NOAA GeoPlatform (2023). MAP for website - Satellite Maps Global Archive [Dataset]. https://noaa.hub.arcgis.com/maps/9990fe7bfb164529b6840ef56d25d916
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MAP for website - Satellite Maps Global Archive

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Dataset updated
Aug 4, 2023
Dataset provided by
National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
Authors
NOAA GeoPlatform
License

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

Area covered
Description

This application is intended for informational purposes only and is not an operational product. The tool provides the capability to access, view and interact with satellite imagery, and shows the latest view of Earth as it appears from space.This website should not be used to support operational observation, forecasting, emergency, or disaster mitigation operations, either public or private. In addition, we do not provide weather forecasts on this site — that is the mission of the National Weather Service. Please contact them for any forecast questions or issues.Using the Maps​What does the Layering Options icon mean?The Layering Options widget provides a list of operational layers and their symbols, and allows you to turn individual layers on and off. The order in which layers appear in this widget corresponds to the layer order in the map. The top layer ‘checked’ will indicate what you are viewing in the map, and you may be unable to view the layers below.Layers with expansion arrows indicate that they contain sublayers or subtypes.Do these maps work on mobile devices and different browsers?Yes!Why are there black stripes / missing data on the map?NOAA Satellite Maps is for informational purposes only and is not an operational product; there are times when data is not available.Why are the North and South Poles dark?The raw satellite data used in these web map apps goes through several processing steps after it has been acquired from space. These steps translate the raw data into geospatial data and imagery projected onto a map. NOAA Satellite Maps uses the Mercator projection to portray the Earth's 3D surface in two dimensions. This Mercator projection does not include data at 80 degrees north and south latitude due to distortion, which is why the poles appear black in these maps. NOAA's polar satellites are a critical resource in acquiring operational data at the poles of the Earth and some of this imagery is available on our website (for example, here ).Why does the imagery load slowly?This map viewer does not load pre-generated web-ready graphics and animations like many satellite imagery apps you may be used to seeing. Instead, it downloads geospatial data from our data servers through a Map Service, and the app in your browser renders the imagery in real-time. Each pixel needs to be rendered and geolocated on the web map for it to load.How can I get the raw data and download the GIS World File for the images I choose?The geospatial data Map Service for the NOAA Satellite Maps GOES satellite imagery is located on our Satellite Maps ArcGIS REST Web Service ( available here ).We support open information sharing and integration through this RESTful Service, which can be used by a multitude of GIS software packages and web map applications (both open and licensed).Data is for display purposes only, and should not be used operationally.Are there any restrictions on using this imagery?NOAA supports an open data policy and we encourage publication of imagery from NOAA Satellite Maps; when doing so, please cite it as "NOAA" and also consider including a permalink (such as this one) to allow others to explore the imagery.For acknowledgment in scientific journals, please use:We acknowledge the use of imagery from the NOAA Satellite Maps application: LINKThis imagery is not copyrighted. You may use this material for educational or informational purposes, including photo collections, textbooks, public exhibits, computer graphical simulations and internet web pages. This general permission extends to personal web pages.About this satellite imageryWhat am I seeing in the Global Archive Map?In this map, you will see the whole Earth as captured each day by our polar satellites, based on our multi-year archive of data. This data is provided by NOAA’s polar orbiting satellites (NOAA/NASA Suomi NPP from January 2014 to April 19, 2018 and NOAA-20 from April 20, 2018 to today). The polar satellites circle the globe 14 times a day taking in one complete view of the Earth every 24 hours. This complete view is what is projected onto the flat map scene each morning.What is global true color imagery?The global ‘true color’ map displays land, water and clouds as they would appear to our eye from space, captured each day by NOAA-20.This ‘true color’ imagery is created using the VIIRS sensors onboard the NOAA-20 and Suomi NPP polar orbiting satellites. Although true-color images like this may appear to be photographs of Earth, they aren't. They are created by combining data from the three color bands on the VIIRS instrument sensitive to the red, green and blue (or RGB) wavelengths of light into one composite image. In addition, data from several other bands are often also included to cancel out or correct atmospheric interference that may blur parts of the image. Learn more about the VIIRS sensor here.About the satellitesWhat is the NOAA-20 satellite?Launched in November 2017, NOAA-20 is NOAA's newest polar-orbiting satellite, and the first of the Joint Polar Satellite System (JPSS) series, a collaborative effort between NOAA and NASA. As the backbone of the global satellite observing system, NOAA-20 circles the Earth from pole to pole and crosses the equator about 14 times daily, providing full global coverage twice daily - from 512 miles away. The satellite's instruments measure temperature, water vapor, ozone, precipitation, fire and volcanic eruptions, and can distinguish snow and ice cover under clouds. This data enables more accurate weather forecasting for the United States and the world.

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