100+ datasets found
  1. e

    Eagle Technology and official Esri Distributor logo

    • nzeuc.eagle.co.nz
    Updated Sep 1, 2022
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    Eagle Technology Group Ltd (2022). Eagle Technology and official Esri Distributor logo [Dataset]. https://nzeuc.eagle.co.nz/documents/dc506e8c736240b5946ed87cdc7128b5
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    Dataset updated
    Sep 1, 2022
    Dataset authored and provided by
    Eagle Technology Group Ltd
    Description

    Eagle Technology and official Esri Distributor logo for use at NZEUC2022

  2. a

    The D Logo

    • hub.arcgis.com
    • egisdata-dallasgis.hub.arcgis.com
    Updated Nov 25, 2019
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    City of Dallas GIS Services (2019). The D Logo [Dataset]. https://hub.arcgis.com/documents/DallasGIS::the-d-logo?uiVersion=content-views
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    Dataset updated
    Nov 25, 2019
    Dataset authored and provided by
    City of Dallas GIS Services
    Description

    Community Analyst Report Logo

  3. A

    GEO logo white tb 1500 1

    • data.amerigeoss.org
    • sdgs.amerigeoss.org
    • +4more
    Updated Feb 26, 2019
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    AmeriGEOSS (2019). GEO logo white tb 1500 1 [Dataset]. https://data.amerigeoss.org/tr/dataset/geo-logo-white-tb-1500-12
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Feb 26, 2019
    Dataset provided by
    AmeriGEOSS
    Description

    This is the GEO Logo - Note it is transparent so you won't be able to see a thumbnail!!!!!


    GEO Logo

  4. Logo de thème partagé - Esri France Emblem tag sRGB

    • esrifrance.hub.arcgis.com
    Updated Dec 6, 2017
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    Esri France (2017). Logo de thème partagé - Esri France Emblem tag sRGB [Dataset]. https://esrifrance.hub.arcgis.com/documents/603b02b0b6be4cfc9838b54808d12e79
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    Dataset updated
    Dec 6, 2017
    Dataset provided by
    Environmental Systems Research Institutehttp://esri.com/
    Authors
    Esri France
    Area covered
    France
    Description

    Cette image a été chargée pour être utilisée en tant que logo de thème partagé de votre organisation.

  5. a

    Shared Theme Logo - Logo

    • hlplanning.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Jul 14, 2020
    + more versions
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    Houseal Lavigne (2020). Shared Theme Logo - Logo [Dataset]. https://hlplanning.hub.arcgis.com/documents/13d2cf1d418b4583a27eb3cd06da7fd5
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    Dataset updated
    Jul 14, 2020
    Dataset authored and provided by
    Houseal Lavigne
    Area covered
    Description

    This image was uploaded for use as your organization's Shared Theme logo.

  6. Community Map

    • noveladata.com
    • data.baltimorecity.gov
    • +11more
    Updated Feb 16, 2019
    + more versions
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    Esri (2019). Community Map [Dataset]. https://www.noveladata.com/maps/esri::community-map/about
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    Dataset updated
    Feb 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Community Map (World Edition) web map provides a customized world basemap that is uniquely symbolized and optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and sports amenities like tennis courts, football and baseball field lines, and more. This basemap, included in the ArcGIS Living Atlas of the World, uses the Community vector tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layer items referenced in this map.

  7. World Imagery

    • cacgeoportal.com
    • hurricane-tx-arcgisforem.hub.arcgis.com
    • +4more
    Updated Dec 13, 2009
    + more versions
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    Esri (2009). World Imagery [Dataset]. https://www.cacgeoportal.com/maps/10df2279f9684e4a9f6a7f08febac2a9
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    Dataset updated
    Dec 13, 2009
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    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.Vantor 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 Vantor 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. Vantor 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 Vantor HD. Imagery UpdatesYou can use the Updates Mode in the World Imagery Wayback app to learn more about recent and pending updates. Accessing this information requires a user login with an ArcGIS organizational account. 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. 75m Resolution Metadata

    • cacgeoportal.com
    • digital-earth-pacificcore.hub.arcgis.com
    Updated Dec 13, 2009
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    Esri (2009). 75m Resolution Metadata [Dataset]. https://www.cacgeoportal.com/maps/esri::75m-resolution-metadata-114
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    Dataset updated
    Dec 13, 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.Vantor 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 Vantor 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. Vantor 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 Vantor HD. Imagery UpdatesYou can use the Updates Mode in the World Imagery Wayback app to learn more about recent and pending updates. Accessing this information requires a user login with an ArcGIS organizational account. 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.

  9. g

    Esri ArcGIS Server GEOPROCESSING SERVICE Esri ArcGIS Server - SkyLineGraph...

    • gimi9.com
    • data.europa.eu
    Updated Nov 2, 2016
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    (2016). Esri ArcGIS Server GEOPROCESSING SERVICE Esri ArcGIS Server - SkyLineGraph DMR 4G [Dataset]. https://gimi9.com/dataset/eu_cz-cuzk-gp_sky-dmr4g/
    Explore at:
    Dataset updated
    Nov 2, 2016
    License

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

    Description

    Geoprocessing service Esri ArcGIS Server - SkyLineGraph_DMR 4G is a public service intended for visibility analysis execution using the dataset Digital Terrain Model of the Czech Republic of the 4th generation (DMR 4G). Geoprocessing service enables to find out, which area is visible from chosen observer location to defined distance. When using the service is necessary to choose the observer location, specify oberver offset above the terrain and define the distance, in which the visibility analysis is demanded. The result of the analysis is visibility field (area) represented by polygons, which delimit visible parts of the terrain. The geoprocessing service is published as asynchronous. The result is passed on client throught Result Map Service Visibility_DMR 4G (MapService). The result can be downloaded from server and saved to a local disc as shapefile using URL, which is generated and sended by the geoprocessing service. URL for the result download throught a web client is published in running service record, that is sent from server to the client.

  10. d

    40 meter ESRI binary grid of swath bathymetry of inner continental shelf...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Nov 26, 2025
    + more versions
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    U.S. Geological Survey (2025). 40 meter ESRI binary grid of swath bathymetry of inner continental shelf south of Cape Hatteras, NC to Cape Lookout, NC (shatt, UTM Zone 18N, WGS84) [Dataset]. https://catalog.data.gov/dataset/40-meter-esri-binary-grid-of-swath-bathymetry-of-inner-continental-shelf-south-of-cape-hat
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Hatteras Island, North Carolina, Cape Lookout, Cape Hatteras
    Description

    The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner continental shelf. This information provides a basis to understand the linkage between geologic framework, physical processes, and coastal evolution at time scales from storm events to millennia. The study area attracts significant tourism to its parks and beaches, contains a number of coastal communities, and supports a local fishing industry, all of which are impacted by coastal change. Knowledge derived from this research program can be used to mitigate hazards and facilitate effective management of this dynamic coastal system. This regional mapping project produced spatial datasets of high-resolution geophysical (bathymetry, backscatter intensity, and seismic reflection) and sedimentary (core and grab-sample) data. The high-resolution geophysical data were collected during numerous surveys within the back-barrier estuarine system, along the barrier island complex, in the nearshore, and along the inner continental shelf. Sediment cores were taken on the mainland and along the barrier islands, and both cores and grab samples were taken on the inner shelf. Data collection was a collaborative effort between the U.S. Geological Survey (USGS) and several other institutions including East Carolina University (ECU), the North Carolina Geological Survey, and the Virginia Institute of Marine Science (VIMS). The high-resolution geophysical data of the inner continental shelf were collected during six separate surveys conducted between 1999 and 2004 (four USGS surveys north of Cape Hatteras: 1999-045-FA, 2001-005-FA, 2002-012-FA, 2002-013-FA, and two USGS surveys south of Cape Hatteras: 2003-003-FA and 2004-003-FA) and cover more than 2600 square kilometers of the inner shelf. Single-beam bathymetry data were collected north of Cape Hatteras in 1999 using a Furuno fathometer. Swath bathymetry data were collected on all other inner shelf surveys using a SEA, Ltd. SwathPLUS 234-kHz bathymetric sonar. Chirp seismic data as well as sidescan-sonar data were collected with a Teledyne Benthos (Datasonics) SIS-1000 north of Cape Hatteras along with boomer seismic reflection data (cruises 1999-045-FA, 2001-005-FA, 2002-012-FA and 2002-013-FA). An Edgetech 512i was used to collect chirp seismic data south of Cape Hatteras (cruises 2003-003-FA and 2004-003-FA) along with a Klein 3000 sidescan-sonar system. Sediment samples were collected with a Van Veen grab sampler during four of the USGS surveys (1999-045-FA, 2001-005-FA, 2002-013-FA, and 2004-003-FA). Additional sediment core data along the inner shelf are provided from previously published studies. A cooperative study, between the North Carolina Geological Survey and the Minerals Management Service (MMS cores), collected vibracores along the inner continental shelf offshore of Nags Head, Kill Devils Hills and Kitty Hawk, North Carolina in 1996. The U.S. Army Corps of Engineers collected vibracores along the inner shelf offshore of Dare County in August 1995 (NDC cores) and July-August 1995 (SNL cores). These cores are curated by the North Carolina Geological Survey and were used as part of the ground validation process in this study. Nearshore geophysical and core data were collected by the Virginia Institute of Marine Science. The nearshore is defined here as the region between the 10-m isobath and the shoreline. High-resolution bathymetry, backscatter intensity, and chirp seismic data were collected between June 2002 and May 2004. Vibracore samples were collected in May and July 2005. Shallow subsurface geophysical data were acquired along the Outer Banks barrier islands using a ground-penetrating radar (GPR) system. Data were collected by East Carolina University from 2002 to 2005. Rotasonic cores (OBX cores) from five drilling operations were collected from 2002 to 2006 by the North Carolina Geological Survey as part of the cooperative study with the USGS. These cores are distributed throughout the Outer Banks as well as the mainland. The USGS collected seismic data for the Quaternary section within the Albemarle-Pamlico estuarine system between 2001 and 2004 during six surveys (2001-013-FA, 2002-015-FA, 2003-005-FA , 2003-042-FA, 2004-005-FA, and 2004-006-FA). These surveys used Geopulse Boomer and Knudsen Engineering Limited (KEL) 320BR Chirp systems, except cruise 2003-042-FA, which used an Edgetech 424 Chirp and a boomer system. The study area includes Albemarle Sound and selected tributary estuaries such as the South, Pungo, Alligator, and Pasquotank Rivers; Pamlico Sound and trunk estuaries including the Neuse and Pamlico Rivers; and back-barrier sounds including Currituck, Croatan, Roanoke, Core, and Bogue.

  11. g

    Esri ArcGIS Server GEOPROCESSING SERVICE Esri ArcGIS Server - Visibility DMR...

    • gimi9.com
    • data.europa.eu
    Updated Nov 1, 2016
    + more versions
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    (2016). Esri ArcGIS Server GEOPROCESSING SERVICE Esri ArcGIS Server - Visibility DMR 5G [Dataset]. https://gimi9.com/dataset/eu_cz-cuzk-gp_vis-dmr5g
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    Dataset updated
    Nov 1, 2016
    License

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

    Description

    Geoprocessing service Esri ArcGIS Server - Visibility_DMR 5G is a public service intended for visibility analysis execution using the dataset Digital Terrain Model of the Czech Republic of the 5th generation (DMR 5G). Geoprocessing service enables to find out, which area is visible from chosen observer location to defined distance. When using the service is necessary to choose the observer location, pecify oberver offset above the terrain and define the distance, in which the visibility analysis is demanded. The result of the analysis is visibility field (area) represented by polygons, which delimit visible parts of the terrain. The geoprocessing service is published as asynchronous. The result is passed on client throught Result Map Service Visibility_DMR 5G (MapService). The result can be downloaded from server and saved to a local disc as shapefile using URL, which is generated and sended by the geoprocessing service. URL for the result download throught a web client is published in running service record, that is sent from server to the client.

  12. Esri Hydro Reference Overlay

    • rwanda.africageoportal.com
    • data.catchmentbasedapproach.org
    • +7more
    Updated Dec 8, 2016
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    Esri (2016). Esri Hydro Reference Overlay [Dataset]. https://rwanda.africageoportal.com/datasets/esri::esri-hydro-reference-overlay
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    Dataset updated
    Dec 8, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Retirement Notice: This item is in mature support as of June 2025 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This tile layer is designed to provide a a hydrologically oriented set of features to use with the World Terrain Base Layer or other simple base maps. The map features a hydro-centric design based on the amount of water flowing within the drainage network such that symbols of the same size and color represent roughly the same amount of water. This map shows surface water flow as a linear phenomenon even over and through bodies of water. Using the best available data we show relative flow accurately, so that if one river carries more water downstream than another river, the result will be that the river will have a thicker symbol on the map. This map is used as an overlay for content such as elevation from the World Terrain Base service or thematic services such as soil units, vegetation, or ecoregions. Combined with a basemap and your map services, this map provides a frame of reference for showing regional, national, and continental hydrologic phenomena such as drought, runoff, river level monitoring and flood forecasting. River names are collected in the UTF8 character set so river names are collected in their original language but are written in the Roman alphabet. Sources for all river names are from the open source geonames.org project so they are international by nature. The map is compiled from several sources. The global scales (very small scales through 1:2,300,000) include content from: HydroSHEDS, GTOPO30 Global Topographic Data, SRTM, GLWD, WorldClim, GRDC, and WWF Global 200 Terrestrial Eco Regions, with the latter three providing the inputs and basis for calculating flow. At medium scales (1:36,000 to 1:2,000,000) this service currently contains only U.S. data from the NHDPlusV2 that was jointly produced by the USGS and EPA.

  13. n

    05 - Trade and the Black Death - Esri GeoInquiries collection for World...

    • library.ncge.org
    Updated Jun 8, 2020
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    NCGE (2020). 05 - Trade and the Black Death - Esri GeoInquiries collection for World History [Dataset]. https://library.ncge.org/datasets/05-trade-and-the-black-death-esri-geoinquiries-collection-for-world-history
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR U.S. History

    http://www.esri.com/geoinquiries

    The GeoInquiry™ collection for World History contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory world history classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the C3 Framework for social studies curriculum standards.

    All World History GeoInquiries™ can be found at: http://esriurl.com/worldHistoryGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  14. Trees

    • cacgeoportal.com
    • hub.arcgis.com
    • +1more
    Updated Feb 2, 2019
    + more versions
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    Esri (2019). Trees [Dataset]. https://www.cacgeoportal.com/datasets/esri::trees
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    Dataset updated
    Feb 2, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

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

    Area covered
    Description

    This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

  15. c

    Water Balance App

    • resilience.climate.gov
    • caribbeangeoportal.com
    • +12more
    Updated Sep 29, 2017
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    Esri (2017). Water Balance App [Dataset]. https://resilience.climate.gov/datasets/esri::water-balance-app
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    Dataset updated
    Sep 29, 2017
    Dataset authored and provided by
    Esri
    Description

    Click anywhere on earth to see how the water balance is changing over time. This app is based on data from GLDAS version 2.1, which uses weather observations like temperature, humidity, and rainfall to run the Noah land surface model. This model estimates how much of the rain becomes runoff, how much evaporates, and how much infiltrates into the soil. These output variables, calculated every three hours, are aggregated into monthly averages, giving us a record of the hydrologic cycle going all the way back to January 2000. Because the model is run with 0.25 degree spatial resolution (~30 km), these data should only be used for regional analysis. A specific farm or other small area might experience very different conditions than the region around it, especially because human influences like irrigation are not included.This app can also be seen as a useful template for sharing other climate datasets. If you would like to customize it for your own organization, or use it as a starting point for your own scientific application, the source code is available on github for anyone to use.

  16. Sentinel-2 Land Cover Explorer

    • climat.esri.ca
    • cacgeoportal.com
    Updated Feb 7, 2023
    + more versions
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    Esri (2023). Sentinel-2 Land Cover Explorer [Dataset]. https://climat.esri.ca/datasets/esri::sentinel-2-land-cover-explorer
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    Dataset updated
    Feb 7, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

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

    Description

    About the dataLand use land cover (LULC) maps are an increasingly important tool for decision-makers in many industry sectors and developing nations around the world. The information provided by these maps helps inform policy and land management decisions by better understanding and quantifying the impacts of earth processes and human activity.ArcGIS Living Atlas of the World provides a detailed, accurate, and timely LULC map of the world. The data is the result of a three-way collaboration among Esri, Impact Observatory, and Microsoft. For more information about the data, see Sentinel-2 10m Land Use/Land Cover Time Series.About the appOne of the foremost capabilities of this app is the dynamic change analysis. The app provides dynamic visual and statistical change by comparing annual slices of the Sentinel-2 10m Land Use/Land Cover data as you explore the map.Overview of capabilities:Visual change analysis with either 'Step Mode' or 'Swipe Mode'Dynamic statistical change analysis by year, map extent, and classFilter by selected land cover classRegional class statistics summarized by administrative boundariesImagery mode for visual investigation and validation of land coverSelect imagery renderings (e.g. SWIR to visualize forest burn scars)Data download for offline use

  17. n

    13 - Finding Mango street - Esri GeoInquiries collection for American...

    • library.ncge.org
    • geoinquiries-education.hub.arcgis.com
    • +1more
    Updated Jun 8, 2020
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    NCGE (2020). 13 - Finding Mango street - Esri GeoInquiries collection for American Literature [Dataset]. https://library.ncge.org/documents/8e955d32b6bd4eb2bbb7b4aa40247b7b
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR AMERICAN LITERATURE

    http://www.esri.com/geoinquiries

    The Esri GeoInquiry™ collection for American Literature contains 15 free, standards-based activities that correspond and extend map-based concepts found in course texts frequently used in high school literature. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core ELA national curriculum standards.

    All American Literature GeoInquiries™ can be found at: http://esriurl.com/litGeoInquiries

    All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  18. d

    Bathymetry of the Hudson Canyon region (100-m resolution Esri binary grid...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Nov 26, 2025
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    U.S. Geological Survey (2025). Bathymetry of the Hudson Canyon region (100-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84) [Dataset]. https://catalog.data.gov/dataset/bathymetry-of-the-hudson-canyon-region-100-m-resolution-esri-binary-grid-and-32-bit-geotif
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The Hudson Canyon begins on the outer continental shelf off the east coast of the United States at about 100-meters (m) water depth and extends offshore southeastward across the continental slope and rise. A multibeam survey was carried out in 2002 to map the bathymetry and backscatter intensity of the sea floor of the Hudson Canyon and adjacent slope and rise. The survey covered an area approximately 205 kilometers (km) in the offshore direction, extending from about 500 m to about 4,000 m water depth, and about 110 km in the alongshore direction, centered on the Hudson Canyon. The sea floor was mapped using a SeaBeam Instruments 2112 multibeam echosounder aboard the National Oceanic and Atmospheric Administration (NOAA) ship Ronald H. Brown. Maps derived from the multibeam observations show sea-floor bathymetry and backscatter intensity (a measure of sea floor texture and roughness), geomorphic provinces, and sea-floor environments (Butman and others, 2006). The sea floor was mapped by the U.S. Geological Survey in cooperation with Rutgers University and with support from NOAA.

  19. d

    ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric...

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Oct 22, 2025
    + more versions
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    U.S. Geological Survey (2025). ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_2M_UTM, UTM Xone 19, NAD83) [Dataset]. https://catalog.data.gov/dataset/esri-binary-2-m-bathymetric-grid-of-national-oceanic-and-atmospheric-administration-noaa-s-626dc
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    Dataset updated
    Oct 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Rhode Island Sound
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of Rhode Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretations were derived from the multibeam echo-sounder data collected in Rhode Island Sound. During June 2011, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of these areas. For more information on the ground-truth survey see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA.

  20. d

    NOAA ESRI Grid - predictions of relative uncertainty for seabird diversity...

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated May 22, 2025
    + more versions
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    (Point of Contact, Custodian) (2025). NOAA ESRI Grid - predictions of relative uncertainty for seabird diversity metrics in the New York offshore planning area by NOAA Biogeography Branch [Dataset]. https://catalog.data.gov/dataset/noaa-esri-grid-predictions-of-relative-uncertainty-for-seabird-diversity-metrics-in-the-new-yor1
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    Dataset updated
    May 22, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    New York
    Description

    This dataset represents relative seabird abundance predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual species season models. The model also includes spatially-explicit uncertainty estimates represented in another raster dataset. Raster values represent a dimensionless number scaled between 0 and 1, where values closer to 0 indicate greater certainty. The relative uncertainty value at each location is the same for all hotspot quantities (abundance, richness, and diversity index), because it is a function of the underlying trend and spatial model uncertainty for each species/group.

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Eagle Technology Group Ltd (2022). Eagle Technology and official Esri Distributor logo [Dataset]. https://nzeuc.eagle.co.nz/documents/dc506e8c736240b5946ed87cdc7128b5

Eagle Technology and official Esri Distributor logo

Explore at:
Dataset updated
Sep 1, 2022
Dataset authored and provided by
Eagle Technology Group Ltd
Description

Eagle Technology and official Esri Distributor logo for use at NZEUC2022

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