34 datasets found
  1. World Ocean Base

    • digital-earth-pacificcore.hub.arcgis.com
    • amerigeo.org
    • +14more
    Updated Feb 24, 2014
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2014). World Ocean Base [Dataset]. https://digital-earth-pacificcore.hub.arcgis.com/items/1e126e7520f9466c9ca28b8f28b5e500
    Explore at:
    Dataset updated
    Feb 24, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    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, 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

  2. ArcGIS World Geocoding

    • hub.arcgis.com
    • cityworks-alcogis.opendata.arcgis.com
    Updated Dec 20, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2012). ArcGIS World Geocoding [Dataset]. https://hub.arcgis.com/content/305f2e55e67f4389bef269669fc2e284
    Explore at:
    Dataset updated
    Dec 20, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World
    Description

    The ArcGIS World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online Subscription, or ArcGIS Location Platform Subscription, will provide you access to the ArcGIS World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the ArcGIS World Geocoding service documentation.

  3. d

    Landing Page

    • datadiscoverystudio.org
    Updated Jun 26, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2018). Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/17cb4f0b94554438aade6aa52ad68d5a/html
    Explore at:
    Dataset updated
    Jun 26, 2018
    Authors
    Esri
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  4. d

    Landing Page

    • datadiscoverystudio.org
    Updated Jun 27, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2018). Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4bdd8b2ff24c43cba87d6102430f2860/html
    Explore at:
    Dataset updated
    Jun 27, 2018
    Authors
    Esri
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  5. U.S. Electric Power Transmission Lines

    • hub.arcgis.com
    • atlas.eia.gov
    • +5more
    Updated Aug 16, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2022). U.S. Electric Power Transmission Lines [Dataset]. https://hub.arcgis.com/datasets/fedmaps::u-s-electric-power-transmission-lines/about
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    U.S. Electric Power Transmission LinesThis feature layer, utilizing data from Homeland Infrastructure Foundation-Level Data (HIFLD), depicts electric power transmission lines in the United States. Per HIFLD, "Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power system. Lines are operated at relatively high voltages varying from 69 kV up to 765 kV, and are capable of transmitting large quantities of electricity over long distances. Underground transmission lines are included where sources were available."138 Kilovolt Transmission LineData downloaded: 5/16/2025Data source: Transmission LinesData modification: noneFor more information: Electricity ExplainedSupport documentation: Transmission LinesFor feedback, please contact: ArcGIScomNationalMaps@esri.comThe Homeland Infrastructure Foundation-Level DataPer HIFLD, "The Homeland Infrastructure Foundation-Level Data (HIFLD) Subcommittee was established…to address improvements in collection, processing, sharing, and protection of homeland infrastructure geospatial information across multiple levels of government, and to develop a common foundation of homeland infrastructure data to be used for visualization and analysis on all classification domains."

  6. OpenStreetMap 3D Trees (Realistic)

    • hub.arcgis.com
    • cacgeoportal.com
    • +2more
    Updated Jun 10, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2022). OpenStreetMap 3D Trees (Realistic) [Dataset]. https://hub.arcgis.com/maps/33383da8a75f4d24b4b6a0d0532abe6e
    Explore at:
    Dataset updated
    Jun 10, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) trees data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

  7. D

    Detroit Street View Panoramic Imagery

    • detroitdata.org
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Detroit (2023). Detroit Street View Panoramic Imagery [Dataset]. https://detroitdata.org/dataset/detroit-street-view-panoramic-imagery
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    City of Detroit
    Area covered
    Detroit
    Description
    Detroit Street View (DSV) is an urban remote sensing program run by the Enterprise Geographic Information Systems (EGIS) Team within the Department of Innovation and Technology at the City of Detroit. The mission of Detroit Street View is ‘To continuously observe and document Detroit’s changing physical environment through remote sensing, resulting in freely available foundational data that empowers effective city operations, informed decision making, awareness, and innovation.’ 360° panoramic imagery (as well as LiDAR) is collected using a vehicle-mounted mobile mapping system.

    The City of Detroit distributes 360° panoramic street view imagery from the Detroit Street View program via Mapillary.com. Within Mapillary, users can search address, pan/zoom around the map, and load images by clicking on image points. Mapillary also provides several tools for accessing and analyzing information including:
    Please see Mapillary API documentation for more information about programmatic access and specific data components within Mapillary.
    DSV Logo
  8. A

    SSURGO Data Downloader (Mature Support)

    • data.amerigeoss.org
    esri rest, html
    Updated Oct 20, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AmeriGEO ArcGIS (2017). SSURGO Data Downloader (Mature Support) [Dataset]. https://data.amerigeoss.org/dataset/ssurgo-data-downloader-mature-support
    Explore at:
    html, esri restAvailable download formats
    Dataset updated
    Oct 20, 2017
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    Mature Support: This item is in Mature Support. A new version of this application is available for your use.

    No longer do you have to spend time learning about the SSURGO database structure before you can use the data. No longer do you have to figure out how to import the data into the ArcGIS system to get your job done.

    Use this web map to download map packages created from the Soil Survey Geographic Database (SSURGO) that the Esri Soils Team has extracted and prepared for immediate use in your maps and analyses.

    The Esri Soils Team created a map with 130 of the most useful variables in SSURGO. The data are packaged by subbasin (HUC8 from the Watershed Boundary Dataset) and are available through this web map.

    The SSURGO data selected for this application consist of basic descriptions of the data (from the Map Unit Feature Class and Map Unit tables), a collection of interpretations (from the MUAGGATT table), and aggregated information about the components of each map unit (Component table). We chose these data because they represent the most commonly used fields in SSURGO and many of these values serve as standard inputs to assessment and modeling processes.

    Included in the map package is a zip folder containing 19 layer files to symbolize the data. The layer files contain the symbology from the Soil Mobile and Web Maps Group on ArcGIS.com. To access the folder use the Extract Package tool in the Data Management Toolbox then open the folder containing the extracted map package in Windows Explorer and navigate to commondata > userdata and unzip the LayerFiles.zip folder.

    Data from the four SSURGO tables were assembled into the single table included in each map package. Data from the component table were aggregated using a dominant component model (listed below under Component Table – Dominant Component) or a weighted average model (listed below under Component Table – Weighted Average) using custom Python scripts. The the Mapunit table, the MUAGATTAT table and the processed Component table data were joined to the Mapunit Feature Class. Field aliases were added and indexes calculated. A field named Map Symbol was created and populated with random integers from 1-10 for symbolizing the soil units in the map package.

    For documentation of the SSURGO dataset see:

    For documentation of the Watershed Boundary Dataset see:

    The map packages contain the following attributes in the Map Units layer:

    Mapunit Feature Class:
    Survey Area
    Spatial Version
    Mapunit Symbol
    Mapunit Key
    National Mapunit Symbol

    Mapunit Table:
    Mapunit Name
    Mapunit Kind
    Farmland Class
    Highly Erodible Lands Classification - Wind and Water
    Highly Erodible Lands Classification – Water
    Highly Erodible Lands Classification – Wind
    Interpretive Focus
    Intensity of Mapping
    Legend Key
    Mapunit Sequence
    Iowa Corn Suitability Rating

    Legend Table:
    Project Scale
    Tabular Version

    MUAGGATT Table:
    Slope Gradient - Dominant Component
    Slope Gradient - Weighted Average
    Bedrock Depth – Minimum
    Water Table Depth - Annual Minimum
    Water Table Depth - April to June Minimum
    Flooding Frequency - Dominant Condition
    Flooding Frequency – Maximum
    Ponding Frequency – Presence
    Available Water Storage 0-25 cm - Weighted Average
    Available Water Storage 0-50 cm - Weighted Average
    Available Water Storage 0-100 cm - Weighted Average
    Available Water Storage 0-150 cm - Weighted Average
    Drainage Class - Dominant Condition
    Drainage Class – Wettest
    Hydrologic Group - Dominant Condition
    Irrigated Capability Class - Dominant Condition
    Irrigated Capability Class - Proportion of Mapunit with Dominant Condition
    Non-Irrigated Capability Class - Dominant Condition
    Non-Irrigated Capability Class - Proportion of Mapunit with Dominant Condition
    Rating for Buildings without Basements - Dominant Condition
    Rating for Buildings with Basements - Dominant Condition
    Rating for Buildings with Basements - Least Limiting
    Rating for Buildings with Basements - Most Limiting
    Rating for Septic Tank Absorption Fields - Dominant Condition
    Rating for Septic Tank Absorption Fields - Least Limiting
    Rating for Septic Tank Absorption Fields - Most Limiting
    Rating for Sewage Lagoons - Dominant Condition
    Rating for Sewage Lagoons - Dominant Component
    Rating for Roads and Streets - Dominant Condition
    Rating for Sand Source - Dominant Condition
    Rating for Sand Source - Most Probable
    Rating for Paths and Trails - Dominant Condition
    Rating for Paths and Trails - Weighted Average
    Erosion Hazard of Forest Roads and Trails - Dominant Component
    Hydric Classification – Presence
    Rating for Manure and Food Processing Waste - Weighted Average

    Component Table – Weighted Average:
    Mean Annual Air Temperature - High Value
    Mean Annual Air Temperature - Low Value
    Mean Annual Air Temperature - Representative Value
    Albedo - High Value
    Albedo - Low Value
    Albedo - Representative Value
    Slope - High Value
    Slope - Low Value
    Slope - Representative Value
    Slope Length - High Value
    Slope Length - Low Value
    Slope Length - Representative Value
    Elevation - High Value
    Elevation - Low Value
    Elevation - Representative Value
    Mean Annual Precipitation - High Value
    Mean Annual Precipitation - Low Value
    Mean Annual Precipitation - Representative Value
    Days between Last and First Frost - High Value
    Days between Last and First Frost - Low Value
    Days between Last and First Frost - Representative Value
    Crop Production Index
    Range Forage Annual Potential Production - High Value
    Range Forage Annual Potential Production - Low Value
    Range Forage Annual Potential Production - Representative Value
    Initial Subsidence - High Value
    Initial Subsidence - Low Value
    Initial Subsidence - Representative Value
    Total Subsidence - High Value
    Total Subsidence - Low Value
    Total Subsidence - Representative Value

    Component Table – Dominant Component:
    Component Key
    Component Percentage - Low Value
    Component Percentage - Representative Value
    Component Percentage - High Value
    Component Name
    Component Kind
    Other Criteria Used to Identify Components
    Criteria Used to Identify Components at the Local Level
    Runoff
    Soil Loss Tolerance Factor
    Wind Erodibility Index
    Wind Erodibility Group
    Erosion Class
    Earth Cover 1
    Earth Cover 2
    Hydric Condition
    Aspect Range - Counter Clockwise Limit
    Aspect - Representative Value
    Aspect Range - Clockwise Limit
    Geomorphic Description
    Non-Irrigated Capability Subclass
    Non-Irrigated Unit Capability Class
    Irrigated Capability Subclass
    Irrigated Unit Capability Class
    Conservation Tree Shrub Group
    Forage Suitability Group
    Grain Wildlife Habitat
    Grass Wildlife Habitat
    Herbaceous Wildlife Habitat
    Shrub Wildlife Habitat
    Conifer Wildlife Habitat
    Hardwood Wildlife Habitat
    Wetland Wildlife Habitat
    Shallow Water Wildlife Habitat
    Rangeland Wildlife Habitat
    Openland Wildlife Habitat
    Woodland Wildlife Habitat
    Wetland Wildlife Habitat
    Soil Slip Potential
    Susceptibility to Frost Heaving
    Concrete Corrosion
    Steel Corrosion
    Taxonomic Class Name
    Order
    Suborder
    Great Group
    Subgroup
    Particle Size
    Particle Size Modifier
    Cation Exchange Activity Class
    Carbonate Reaction
    Temperature Class
    Moisture Subclass
    Soil Temperature Regime
    Edition of Keys to Soil Taxonomy Used to Classify Soil

    Esri generated field for Symbology:
    Map Symbol

    In accordance with NRCS recommendations, we suggest the following citation for the data:

    Soil Survey

  9. Public Land Survey System

    • hub.arcgis.com
    Updated Oct 25, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2023). Public Land Survey System [Dataset]. https://hub.arcgis.com/maps/90289fe691db470195f6511454ede315
    Explore at:
    Dataset updated
    Oct 25, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    Public Land Survey SystemThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Land Management data, displays the Public Land Survey System (PLSS) in the United States. Per BLM, "The BLM is required to perform cadastral surveys on all federal interest and Indian lands. As part of survey work, the BLM maintains an essential land grid, known as the rectangular survey system or Public Land Survey System (PLSS), which is the basis for identifying legal descriptions of land parcels."PLSS Township 7N 22EData downloaded: October 17, 2023Data source: BLM National Public Land Survey System PolygonsNGDAID: 10 (BLM National PLSS Public Land Survey System Polygons)OGC API Features Link: (Public_Land_Survey_System - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: About the Public Land Survey SystemSupport documentation: BLM National PLSS Public Land Survey System PolygonsFor feedback please contact: ArcGIScomNationalMaps@esri.comNGDA Data SetThis data set is part of the NGDA Cadastre Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cadastre is defined as the "past, current, and future rights and interests in real property including the spatial information necessary to describe geographic extents. Rights and interests are benefits or enjoyment in real property that can be conveyed, transferred, or otherwise allocated to another for economic remuneration. Rights and interests are recorded in land record documents. The spatial information necessary to describe geographic extents includes surveys and legal description frameworks such as the Public Land Survey System, as well as parcel-by-parcel surveys and descriptions. Does not include federal government or military facilities."For other NGDA Content: Esri Federal Datasets

  10. Overwrite Hosted Feature Services, v2.1.4

    • hub.arcgis.com
    Updated Apr 16, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2019). Overwrite Hosted Feature Services, v2.1.4 [Dataset]. https://hub.arcgis.com/content/d45f80eb53c748e7aa3d938a46b48836
    Explore at:
    Dataset updated
    Apr 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    Want to keep the data in your Hosted Feature Service current? Not interested in writing a lot of code?Leverage this Python Script from the command line, Windows Scheduled Task, or from within your own code to automate the replacement of data in an existing Hosted Feature Service. It can also be leveraged by your Notebook environment and automatically managed by the MNCD Tool!See the Sampler Notebook that features the OverwriteFS tool run from Online to update a Feature Service. It leverages MNCD to cache the OverwriteFS script for import to the Notebook. A great way to jump start your Feature Service update workflow! RequirementsPython v3.xArcGIS Python APIStored Connection Profile, defined by Python API 'GIS' module. Also accepts 'pro', to specify using the active ArcGIS Pro connection. Will require ArcGIS Pro and Arcpy!Pre-Existing Hosted Feature ServiceCapabilitiesOverwrite a Feature Service, refreshing the Service Item and DataBackup and reapply Service, Layer, and Item properties - New at v2.0.0Manage Service to Service or Service to Data relationships - New at v2.0.0Repair Lost Service File Item to Service Relationships, re-enabling Service Overwrite - New at v2.0.0'Swap Layer' capability for Views, allowing two Services to support a View, acting as Active and Idle role during Updates - New at v2.0.0Data Conversion capability, able to invoke following a download and before Service update - New at v2.0.0Includes 'Rss2Json' Conversion routine, able to read a RSS or GeoRSS source and generate GeoJson for Service Update - New at v2.0.0Renamed 'Rss2Json' to 'Xml2GeoJSON' for its enhanced capabilities, 'Rss2Json' remains for compatability - Revised at v2.1.0Added 'Json2GeoJSON' Conversion routine, able to read and manipulate Json or GeoJSON data for Service Updates - New at v2.1.0Can update other File item types like PDF, Word, Excel, and so on - New at v2.1.0Supports ArcGIS Python API v2.0 - New at v2.1.2RevisionsSep 29, 2021: Long awaited update to v2.0.0!Sep 30, 2021: v2.0.1, Patch to correct Outcome Status when download or Coversion resulted in no change. Also updated documentation.Oct 7, 2021: v2.0.2, workflow Patch correcting Extent update of Views when Overwriting Service, discovered following recent ArcGIS Online update. Enhancements to 'datetimeUtil' Support script.Nov 30, 2021: v2.1.0, added new 'Json2GeoJSON' Converter, enhanced 'Xml2GeoJSON' Converter, retired 'Rss2Json' Converter, added new Option Switches 'IgnoreAge' and 'UpdateTarget' for source age control and QA/QC workflows, revised Optimization logic and CRC comparison on downloads.Dec 1, 2021: v2.1.1, Only a patch to Conversion routines: Corrected handling of null Z-values in Geometries (discovered immediately following release 2.1.0), improve error trapping while processing rows, and added deprecation message to retired 'Rss2Json' conversion routine.Feb 22, 2022: v2.1.2, Patch to detect and re-apply case-insensitive field indexes. Update to allow Swapping Layers to Service without an associated file item. Added cache refresh following updates. Patch to support Python API 2.0 service 'table' property. Patches to 'Json2GeoJSON' and 'Xml2GeoJSON' converter routines.Sep 5, 2024: v2.1.4, Patch service manager refresh failure issue. Added trace report to Convert execution on exception. Set 'ignore-DataItemCheck' property to True when 'GetTarget' action initiated. Hardened Async job status check. Update 'overwriteFeatureService' to support GeoPackage type and file item type when item.name includes a period, updated retry loop to try one final overwrite after del, fixed error stop issue on failed overwrite attempts. Removed restriction on uploading files larger than 2GB. Restores missing 'itemInfo' file on service File items. Corrected false swap success when view has no layers. Lifted restriction of Overwrite/Swap Layers for OGC. Added 'serviceDescription' to service detail backup. Added 'thumbnail' to item backup/restore logic. Added 'byLayerOrder' parameter to 'swapFeatureViewLayers'. Added 'SwapByOrder' action switch. Patch added to overwriteFeatureService 'status' check. Patch for June 2024 update made to 'managers.overwrite' API script that blocks uploads > 25MB, API v2.3.0.3. Patch 'overwriteFeatureService' to correctly identify overwrite file if service has multiple Service2Data relationships.Includes documentation updates!

  11. National Levee Database

    • resilience.climate.gov
    • hub.arcgis.com
    • +3more
    Updated Jun 18, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2021). National Levee Database [Dataset]. https://resilience.climate.gov/maps/87acff1ba86c40098b59472292de3d11
    Explore at:
    Dataset updated
    Jun 18, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    National Levee DatabaseThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays levees within the United States. Per USACE, "The National Levee Database captures all known levees in the United States. It provides users with the ability to search for specific data about levees and serves as a national resource to support awareness and preparedness around flooding. The USACE is responsible for maintaining the National Levee Database and works in partnership with the Federal Emergency Management Agency (FEMA), and in close collaboration with other federal, state, and local governments and entities responsible for levees to obtain and share accurate and complete information."Leveed area in Morrisville, PennsylvaniaData downloaded: 4/24/2024Data source: NLD 2 PublicNGDAID: 161 (National Levee Database)OGC API Features Link: (National Levee Database - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Levee DatabaseSupport documentation: NLD Data DictionaryFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

  12. Maps and Apps Gallery (Mature)

    • gis-idaho.hub.arcgis.com
    Updated Jul 2, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    esri_en (2014). Maps and Apps Gallery (Mature) [Dataset]. https://gis-idaho.hub.arcgis.com/items/8fe02db25bf246dea36b45c5a95728b3
    Explore at:
    Dataset updated
    Jul 2, 2014
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Maps and Apps Gallery is a configurable group app template that can be used for displaying a collection of maps, applications, documents, and layers. Gallery contents are searchable and can be filtered using item tags. Private gallery content can be accessed by signing in to the app using your ArcGIS credentials.Use Casesbuilding a common operational picture organizing a series of maps & apps for a community eventConfigurable OptionsConfigure Maps and Apps Gallery to present content from any group in your organization and personalize the app by modifying the following options: Display a custom title and logo in the application headerUse a custom color schemeChoose between grid- and list-style layoutsEnable or disable the tag cloud which can be used to filter the items displayed in the galleryChoose to open maps and layers in ArcGIS Online, or to preview them in the app's viewerSupported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsMaps and Apps Gallery will display all item types supported by ArcGIS Online and Portal, although sharing maps is preferable to sharing stand-alone layers.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to create a web appOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Maps and Apps Gallery documentation.

  13. a

    India: Ocean Base

    • sdgs.amerigeoss.org
    • hub.arcgis.com
    Updated Mar 24, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GIS Online (2022). India: Ocean Base [Dataset]. https://sdgs.amerigeoss.org/maps/f9356a98369043e9979549522ed37fc8
    Explore at:
    Dataset updated
    Mar 24, 2022
    Dataset authored and provided by
    GIS Online
    Area covered
    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

  14. a

    India: states researched-Copy

    • sdgs.amerigeoss.org
    Updated Feb 21, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dartmouth (2023). India: states researched-Copy [Dataset]. https://sdgs.amerigeoss.org/maps/5467345062124ce1bea2df48cd2a68ec
    Explore at:
    Dataset updated
    Feb 21, 2023
    Dataset authored and provided by
    Dartmouth
    Area covered
    India,
    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. e

    North America PRTR Reporting Facilities 2006

    • climat.esri.ca
    • climate-change-esricanada.hub.arcgis.com
    Updated Apr 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CECAtlas (2023). North America PRTR Reporting Facilities 2006 [Dataset]. https://climat.esri.ca/maps/9cc155e31b084d28a58af727bda0ddd2
    Explore at:
    Dataset updated
    Apr 14, 2023
    Dataset authored and provided by
    CECAtlas
    License

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

    Area covered
    Description

    This map shows the locations of about 35,000 industrial facilities in North America that reported on releases or transfers of pollutants in 2006. Data for this map was assembled from each of the North American country’s Pollutant Release and Transfer Registers (PRTRs): the National Pollutant Release Inventory (NPRI) in Canada, the Registro de Emisiones y Transferencias de Contaminantes (RETC) in Mexico, and the Toxics Release Inventory (TRI) in the United States.---Commission for Environmental Cooperation (CEC) Metadata Disclaimer---Metadata for this dataset has not yet been completed. This data is temporarily available without any metadata or ancillary documentation.July 7, 2010Files Download

  16. California Fire Perimeters (all)

    • data.ca.gov
    Updated May 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CAL FIRE (2025). California Fire Perimeters (all) [Dataset]. https://data.ca.gov/dataset/california-fire-perimeters-all
    Explore at:
    zip, arcgis geoservices rest api, kml, xlsx, gpkg, gdb, geojson, csv, txt, htmlAvailable download formats
    Dataset updated
    May 9, 2025
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Authors
    CAL FIRE
    License

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

    Area covered
    California
    Description

    The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

    This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.


    Please help improve this dataset by filling out this survey with feedback:

    Historic Fire Perimeter Dataset Feedback (arcgis.com)


    Current criteria for data collection are as follows:

    CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

    All cooperating agencies submit perimeters ≥10 acres.


    Version update:

    Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

    Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.


    Includes separate layers filtered by criteria as follows:

    California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

    Recent Large Fire Perimeters (5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

    California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.


    Detailed metadata is included in the following documents:

    Wildland Fire Perimeters (Firep24_1) Metadata


    For any questions, please contact the data steward:

    Kim Wallin, GIS Specialist

    CAL FIRE, Fire & Resource Assessment Program (FRAP)

    kimberly.wallin@fire.ca.gov

  17. Ontario Railway Network (ORWN)

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    Updated Nov 13, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ontario Ministry of Natural Resources and Forestry (2012). Ontario Railway Network (ORWN) [Dataset]. https://hub.arcgis.com/maps/b08674e0c4ce45e78e1225092a4f2afd
    Explore at:
    Dataset updated
    Nov 13, 2012
    Dataset provided by
    Ministry of Natural Resourceshttp://www.ontario.ca/page/ministry-natural-resources
    Authors
    Ontario Ministry of Natural Resources and Forestry
    License

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

    Area covered
    Description

    The Ontario Railway Network (ORWN) is seven data classes that represent the Ontario government’s initiative to adapt the federal GEOBASE standard for the National Railway Network (NRWN) geospatial data.

    The seven data classes include:

    ORWN Track (Download: Shapefile | File Geodatabase) ORWN Crossing (Download: Shapefile | File Geodatabase) ORWN Junctions (Download: Shapefile | File Geodatabase) ORWN Marker Posts (Download: Shapefile | File Geodatabase) ORWN Structure Lines (Download: Shapefile | File Geodatabase) ORWN Structure Points (Download: Shapefile | File Geodatabase) ORWN Station (Download: Shapefile | File Geodatabase)

    Although mainly used as a base data features appearing on cartographic products, users will benefit from having additional railway-associated attributes available to them in the ORWN suite of data.

    Additional Documentation

    ORWN - User Guide (Word)

    ORWN Track - Data Description (PDF)ORWN Track - Documentation (PDF)ORWN Crossing - Data Description (PDF)ORWN Crossing - Documentation (Word)

    ORWN Junction - Data Description (PDF)ORWN Junction - Documentation (Word)ORWN Marker Post - Data Description (PDF)ORWN Marker Post - Documentation (Word)

    ORWN Structure Line - Data Description (PDF)

    ORWN Structure Line - Documentation (Word)ORWN Structure Point - Data Description (PDF)ORWN Structure Point - Documentation (Word)ORWN Station - Data Description (PDF)ORWN Station - Documentation (Word)

    Status

    Required: data needs to be generated or updated

    Maintenance and Update Frequency

    Not planned: there are no plans to update the data

    Contact

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

  18. OpenStreetMap 3D Buildings

    • hub.arcgis.com
    • esriaustraliahub.com.au
    • +4more
    Updated Jun 4, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2022). OpenStreetMap 3D Buildings [Dataset]. https://hub.arcgis.com/maps/ca0470dbbddb4db28bad74ed39949e25
    Explore at:
    Dataset updated
    Jun 4, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) buildings data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

  19. a

    Arctic Ocean Activity Slide 1 - Arctic Ocean Basemap

    • edu.hub.arcgis.com
    Updated Jun 6, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Education and Research (2017). Arctic Ocean Activity Slide 1 - Arctic Ocean Basemap [Dataset]. https://edu.hub.arcgis.com/maps/cb7ac66c993f4f588818b5f2baa9106d
    Explore at:
    Dataset updated
    Jun 6, 2017
    Dataset authored and provided by
    Education and Research
    Area covered
    Arctic Ocean,
    Description

    The Arctic Ocean Basemap is designed to be used as a basemap for the Arctic Ocean by marine GIS professionals and as a reference map by anyone interested in ocean data for the Arctic region. The map is comprised of two layers: the base layer and the reference layer. The base layer focuses on marine bathymetry. It also includes inland waters overlaid on land cover and shaded relief imagery. There are no labels or boundary lines on the base layer. The reference layer is designed to be used as annotation for features on the base layer. This map service includes marine water body names and undersea feature names. Land features include administrative boundaries, cities, and inland waters names.

    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 (http://www.gebco.net), the International Bathymetric Chart of the Arctic Ocean (http://ibcao.org), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and DeLorme, HERE, and Esri for topographic content. The basemap was designed and developed by Esri.

    The Arctic Ocean Basemap currently provides coverage down to a scale of ~1:881k. The Arctic Ocean Basemap can and will be extended with higher resolution bathymetric data. You can contribute your bathymetric data to this map and have it served by Esri for the benefit of the GIS community. For more information on how to contribute data, please contact Oceanbasemapteam@esri.com.

    NOTE: Data from the GEBCO_08 grid shall not be used for navigation or for any other purpose relating to safety at sea. 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 web site: GEBCO. 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.

    Coordinate System: Alaska Polar Stereographic (WKID 5936)Scale Range: 1: 451,295,122 down to 1: 881,435

  20. Forest Service Ranger Districts

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gisforagriculture-usdaocio.hub.arcgis.com
    • +1more
    Updated Aug 22, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2018). Forest Service Ranger Districts [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/fedmaps::forest-service-ranger-districts
    Explore at:
    Dataset updated
    Aug 22, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Forest Service Ranger DistrictsThis U.S. Forest Service (USFS) feature layer displays the boundaries that encompass Ranger Districts in the U.S. Per USFS, "There are more than 600 ranger districts. Each district has a staff of 10 to 100 people. The districts vary in size from 50,000 acres to more than 1 million acres."Gauley Ranger DistrictData currency: current USFS serviceData available for download: Ranger District BoundariesFor more information: U.S. Forest ServiceSupport documentation: MetadataFor feedback please contact: ArcGIScomNationalMaps@esri.comU.S. Forest ServicePer USFS, "the Forest Service works to sustain the health, diversity, and productivity of the nation's forests and grasslands to meet the needs of present and future generations."

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Esri (2014). World Ocean Base [Dataset]. https://digital-earth-pacificcore.hub.arcgis.com/items/1e126e7520f9466c9ca28b8f28b5e500
Organization logo

World Ocean Base

Explore at:
Dataset updated
Feb 24, 2014
Dataset authored and provided by
Esrihttp://esri.com/
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, 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

Search
Clear search
Close search
Google apps
Main menu