100+ datasets found
  1. OpenStreetMap (Imagery Hybrid)

    • cacgeoportal.com
    • ai-climate-hackathon-global-community.hub.arcgis.com
    • +1more
    Updated May 21, 2019
    + more versions
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    Esri (2019). OpenStreetMap (Imagery Hybrid) [Dataset]. https://www.cacgeoportal.com/maps/7ba5fedbafb747ec9d50e61b55ca0844
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    Dataset updated
    May 21, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads and includes imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.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.

  2. Imagery Hybrid

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Mar 29, 2013
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    Esri (2013). Imagery Hybrid [Dataset]. https://hub.arcgis.com/maps/86265e5a4bbb4187a59719cf134e0018
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    Dataset updated
    Mar 29, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This web map contains the new Hybrid Reference Layer vector tile layer, which is designed to be used to overlay imagery. The vector tile layer is similar in content and style to the popular Imagery with Labels map, which is delivered as a map service with raster tiles, with additional labels for transportation features.The 'Imagery with Labels' basemap contains the World Imagery map service and the World Boundaries and Places map service, so when you use that basemap you get boundaries and places, but you don't get highways and streets at small scales or street labels at large scale.If you prefer a map that uses raster tiles for both boundary and transportation features, you can use the Imagery with Labels and Transportation map.

  3. g

    Hybrid map

    • geocatalogue.geoportail.lu
    Updated Aug 23, 2023
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    (2023). Hybrid map [Dataset]. https://geocatalogue.geoportail.lu/geonetwork/srv/search?denominator=500
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    Dataset updated
    Aug 23, 2023
    Description

    The hybrid map uses the most recent aerial image as background. In addition, it contains roads, street names and locality names.

  4. Imagery Hybrid

    • indianamap.org
    • data-rcitgis.opendata.arcgis.com
    • +10more
    Updated Jun 28, 2017
    + more versions
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    esri_en (2017). Imagery Hybrid [Dataset]. https://www.indianamap.org/maps/2ea9c9cf54cb494187b03a5057d1a830
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    Dataset updated
    Jun 28, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Area covered
    Description

    This map features a detailed reference layer for the world that is overlaid on imagery. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the Hybrid Reference Layer and World Imagery .

  5. Z

    Data from: Reference data set used to validate the hybrid cropland map at...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jun 7, 2024
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    Lesiv, Myroslava (2024). Reference data set used to validate the hybrid cropland map at 500m (Fritz, S. 2024) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11517295
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    Dataset updated
    Jun 7, 2024
    Dataset provided by
    Schepaschenko, Maria
    Lesiv, Myroslava
    Kerdiles, Herve
    Laso Bayas, Juan Carlos
    Georgieva, Ivelina
    Perez-Guzman, Katya
    Collivignarelli, Francesco
    Fritz, Steffen
    License

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

    Description

    This is a reference data set for validation of the hybrid cropland map at 500m resolution for the year 2019 (Fritz, 2024, map available here)

    Sampling design: random whithin areas of improvement, where the WorldCereal map is performing better (less errors) than the GLAD cropland map 2019.

    Number of sample sites: 500

    Method of data collection: visual interpreation of various sources of information, including very high resolution images and photos.

    Tool for data collection: Geo-Wiki

  6. Firefly Imagery Hybrid

    • noveladata.com
    • data.baltimorecity.gov
    • +9more
    Updated Dec 8, 2018
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    Esri (2018). Firefly Imagery Hybrid [Dataset]. https://www.noveladata.com/maps/esri::firefly-imagery-hybrid/about
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    Dataset updated
    Dec 8, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map features an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers. This map is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention. The map also includes a reference layer.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.

  7. OpenStreetMap (Imagery Hybrid - WGS84)

    • keep-cool-global-community.hub.arcgis.com
    • cacgeoportal.com
    • +5more
    Updated Jun 22, 2019
    + more versions
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    Esri (2019). OpenStreetMap (Imagery Hybrid - WGS84) [Dataset]. https://keep-cool-global-community.hub.arcgis.com/maps/667de8a61b50499f96ae11c3fb7aa6ff
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    Dataset updated
    Jun 22, 2019
    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 web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads and includes imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.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. Precise Tile Registration: The web map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

  8. a

    Firefly Imagery Hybrid

    • hub.arcgis.com
    Updated Apr 8, 2025
    + more versions
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    Savannah District Corps of Engineers (2025). Firefly Imagery Hybrid [Dataset]. https://hub.arcgis.com/maps/5a39f74a897847ee9954028de39b3f97
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    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Savannah District Corps of Engineers
    Area covered
    Description

    The Firefly Imagery Hybrid (US Edition) map features an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers. This map is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention. The map also includes a reference layer.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.This basemap is available in the United States Vector Basemaps gallery and uses the Hybrid Reference Layer (US Edition) vector tile layer and the World Imagery (Firefly) raster tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  9. Bing Maps Hybrid

    • gis-idaho.hub.arcgis.com
    • noveladata.com
    Updated Feb 19, 2012
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    esri_en (2012). Bing Maps Hybrid [Dataset]. https://gis-idaho.hub.arcgis.com/maps/cebcf53409a04f109d309c2befa750e1
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    Dataset updated
    Feb 19, 2012
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Area covered
    Earth
    Description

    This web map contains the Bing Maps aerial imagery with labels web mapping service, which provides worldwide orthographic aerial and satellite imagery with roads and labels overlaid. Coverage varies by region, with the most detailed coverage in the USA and United Kingdom. Coverage in different areas within a country also varies in detail based on the availability of imagery for that region. Bing Maps is continuously adding imagery in new areas and updating coverage in areas of existing coverage. This map does not include bird's eye imagery. Information regarding monthly updates of imagery coverage are available on the Bing Community blog. Post a comment to the Bing Community blog to request imagery vintage information for a specific area.Tip: The Bing Maps Hybrid service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Bing Maps Hybrid from the Basemap control to start browsing! You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.If you need information on how to access Bing Maps, information is available in the ArcGIS Online Content Resource Center.See Bing Maps (http://www.bing.com/maps) for more information about the Bing Maps mapping system, terms of use, and a complete list of data suppliers.

  10. Data from: A new global hybrid map of annual herbaceous cropland at a 500 m...

    • zenodo.org
    zip
    Updated Jun 7, 2024
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    Steffen Fritz; Steffen Fritz (2024). A new global hybrid map of annual herbaceous cropland at a 500 m resolution for the year 2019: Accompanying file. [Dataset]. http://doi.org/10.5281/zenodo.10818824
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    zipAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Steffen Fritz; Steffen Fritz
    License

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

    Description

    The zip file contains the map accompanying the publication "A new global hybrid map of annual herbaceous cropland at a 500 m resolution for the year 2019" (in submission).

    The hybrid map of global cropland extent has a 500 m resolution and was created by fusing two of the latest high resolution remotely sensed cropland products: the European Space Agency’s WorldCereal and the cropland layer from the University of Maryland.

    The data set used for the validation of this map is available here.

  11. v

    Data from: A Global Hybrid Vs30 Map with a Topographic-Slope-Based Default...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). A Global Hybrid Vs30 Map with a Topographic-Slope-Based Default and Regional Map Insets [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/a-global-hybrid-vs30-map-with-a-topographic-slope-based-default-and-regional-map-insets
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    A global, mosaiced (hybrid resolution) model of Vs30.

  12. Hong Kong Imagery Hybrid Vector Basermap

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Feb 18, 2019
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    Esri China (Hong Kong) Ltd. (2019). Hong Kong Imagery Hybrid Vector Basermap [Dataset]. https://opendata.esrichina.hk/maps/237cf8da9001495d829b9892d905493c
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    Dataset updated
    Feb 18, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map features a detailed vector reference layer for the world that is overlaid on World Imagery. The web map is similar in content and style to the popular Imagery with Labels map, which uses layers with raster fused map cache. This map includes a vector tile layer that provides unique capabilities for customization and high-resolution display. This reference map uses a vector tile layer that includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority. This vector tile layer is built using the same data sources used for other Esri basemaps. The World Imagery layer in this map provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide.Use this Map This map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map. Customize this Map Because this map includes a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector web maps. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog.

  13. World Imagery

    • pacificgeoportal.com
    • cacgeoportal.com
    • +6more
    Updated Dec 13, 2009
    + more versions
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    Esri (2009). World Imagery [Dataset]. https://www.pacificgeoportal.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.Maxar imagery basemap products around the world: Vivid Premium at 15-cm HD resolution for select metropolitan areas, Vivid Advanced 30-cm HD for more than 1,000 metropolitan areas, and Vivid Standard from 1.2-m to 0.6-cm resolution for the most of the world, with 30-cm HD across the United States and parts of Western Europe. More information on the Maxar products is included below. High-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 30-cm to 3-cm resolution. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. Maxar Basemap ProductsVivid PremiumProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.Vivid AdvancedProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.Vivid StandardProvides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD. More on Maxar HD. 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.

  14. d

    Data from: Final spatial and tabular data from a process-based model (3-PG)...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +5more
    Updated Apr 21, 2025
    + more versions
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    U.S. Forest Service (2025). Final spatial and tabular data from a process-based model (3-PG) used to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA [Dataset]. https://catalog.data.gov/dataset/final-spatial-and-tabular-data-from-a-process-based-model-3-pg-used-to-predict-and-map-hyb-aedef
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Forest Service
    Area covered
    United States, Wisconsin, Minnesota
    Description

    Hybrid poplars have demonstrated high biomass productivity in the North Central USA as short rotation woody crops (SRWCs). However, our ability to quantitatively predict productivity for sites that are not currently in SRWCs is limited. In this study, the Physiological Processes Predicting Growth (3-PG) model was (1) assigned parameters for hybrid poplars using species-specific physiological data and allometric relationships from previously published studies, (2) calibrated for the North Central region using previously-published biomass data from eight plantations along with site-specific climate and soils data, (3) validated against previously published biomass data from four other plantations using linear regression of actual versus predicted total aboveground dry biomass, (4) evaluated for sensitivity of the model to manipulation of the parameter for age at full canopy cover (fullCanAge) and the fertility rating growth modifier, and (5) combined with soil and climate data layers to produce a map of predicted biomass productivity for the states of Minnesota and Wisconsin. This package contains the polygon feature layer and tabular data that correspond to 'Using a process-based model (3-PG) to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA.' (Headlee et al. 2013). The tabular data for mean annual biomass for hybrid poplar including the STATSGO soil and NARR climate values were used to generate the biomass values. The WTAvg_DM values represent the overall predicted biomass productivity for hybrid poplars.

  15. Z

    Augmented emission maps: several petrol, and petrol plug-in hybrid,...

    • data.niaid.nih.gov
    • zenodo.org
    Updated May 18, 2021
    + more versions
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    Elstgeest, M. (2021). Augmented emission maps: several petrol, and petrol plug-in hybrid, vehicle-specific augmented emission maps [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_4769861
    Explore at:
    Dataset updated
    May 18, 2021
    Dataset provided by
    Indrajuana, A.P.
    Ligterink, N.E.
    Elstgeest, M.
    License

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

    Description

    In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code.

    The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about:

    the engine taxonomy code,

    total driven kilometers over which the data was gathered,

    total time in hours over which the data was gathered,

    the number of vehicles which were tested to create the emission map,

    the DOI (Digital Object Identifier) reference,

    Which emission maps are available in the file.

    The DOI 10.5281/zenodo refers to a meta-data document that provides the full description of the standardized emission map

  16. NAIP Imagery Hybrid

    • hub.arcgis.com
    Updated Feb 15, 2025
    + more versions
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    Esri (2025). NAIP Imagery Hybrid [Dataset]. https://hub.arcgis.com/maps/755c7737c8cf4443be78e79df16dec80
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The NAIP Imagery Hybrid (US Edition) web map features recent high-resolution National Agriculture Imagery Program (NAIP) imagery for the United States and is optimized for display quality and performance. The map also includes a reference layer. This NAIP imagery is from the USDA Farm Services Agency. The NAIP imagery in this map has been visually enhanced and published as a raster tile layer for optimal display performance.NAIP imagery collection occurs on an annual basis during the agricultural growing season in the continental United States. Approximately half of the US is collected each year and each state is typically collected every other year. The NAIP program aims to make the imagery available to governmental agencies and to the public within a year of collection.This basemap is available in the United States Vector Basemaps gallery and uses NAIP Imagery and World Imagery (Firefly) raster tile layers. It also uses the Hybrid Reference (US Edition) and Dark Gray Base (US Edition) vector tile layers.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  17. Global hybrid forest mask for the year 2000

    • zenodo.org
    • data.niaid.nih.gov
    csv, zip
    Updated Oct 11, 2021
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    Dmitry Schepaschenko; Dmitry Schepaschenko; Linda See; Linda See; Myroslava Lesiv; Myroslava Lesiv; Ian McCallum; Ian McCallum; Steffen Fritz; Carl Salk; Elena Moltchanova; Christoph Perger; Maria Shchepashchenko; Anatoly Shvidenko; Sergii Kovalevskyi; Dmytro Gilitukha; Franziska Albrecht; Florian Kraxner; Andriy Bun; Shamil Maksyutov; Alexander Sokolov; Martina Dürauer; Michael Obersteiner; Viktor Karminov; Petr Ontikov; Steffen Fritz; Carl Salk; Elena Moltchanova; Christoph Perger; Maria Shchepashchenko; Anatoly Shvidenko; Sergii Kovalevskyi; Dmytro Gilitukha; Franziska Albrecht; Florian Kraxner; Andriy Bun; Shamil Maksyutov; Alexander Sokolov; Martina Dürauer; Michael Obersteiner; Viktor Karminov; Petr Ontikov (2021). Global hybrid forest mask for the year 2000 [Dataset]. http://doi.org/10.5281/zenodo.5559652
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Dmitry Schepaschenko; Dmitry Schepaschenko; Linda See; Linda See; Myroslava Lesiv; Myroslava Lesiv; Ian McCallum; Ian McCallum; Steffen Fritz; Carl Salk; Elena Moltchanova; Christoph Perger; Maria Shchepashchenko; Anatoly Shvidenko; Sergii Kovalevskyi; Dmytro Gilitukha; Franziska Albrecht; Florian Kraxner; Andriy Bun; Shamil Maksyutov; Alexander Sokolov; Martina Dürauer; Michael Obersteiner; Viktor Karminov; Petr Ontikov; Steffen Fritz; Carl Salk; Elena Moltchanova; Christoph Perger; Maria Shchepashchenko; Anatoly Shvidenko; Sergii Kovalevskyi; Dmytro Gilitukha; Franziska Albrecht; Florian Kraxner; Andriy Bun; Shamil Maksyutov; Alexander Sokolov; Martina Dürauer; Michael Obersteiner; Viktor Karminov; Petr Ontikov
    License

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

    Description

    A number of global and regional maps of forest extent are available, but when compared spatially, there are large areas of disagreement. Moreover, there was no global forest map that is consistent with forest statistics from FAO (Food and Agriculture Organization of the United Nations). By combining these diverse data sources into a single forest cover product, it is possible to produce a global forest map that is more accurate than the individual input layers and to produce a map that is consistent with FAO statistics. In this paper we applied geographically weighted regression (GWR) to integrate eight different forest products into three global hybrid forest cover maps at a 1 km resolution for the reference year 2000. Input products included global land cover and forest maps at varying resolutions from 30 m to 1 km, mosaics of regional land use/land cover products where available, and the MODIS Vegetation Continuous Fields product. The GWR was trained using crowdsourced data collected via the Geo-Wiki platform and the hybrid maps were then validated using an independent dataset collected via the same system. Three different hybrid maps were produced: two consistent with FAO statistics, one at the country and one at the regional level, and a “best guess” forest cover map that is independent of FAO. Independent validation showed that the “best guess” hybrid product had the best overall accuracy of 93% when compared with the individual input datasets. The global hybrid forest cover maps are available at http://biomass.geo-wiki.org.

    More details can be found in the paper:

    Schepaschenko D., See L., Lesiv M., McCallum I., Fritz S., et al. (2015). Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics. Remote Sensing of Environment 162 208-220. https://doi.org/10.1016/j.rse.2015.02.011.

    The data set consists of following files:

    1. for2000_bg.zip - Global forest mask "best guess" - percentage forest cover at a 1 km spatial resolution for the year 2000;
    2. for2000_ca_cou.zip - Global forest mask calibrated to the FAO FRA statistics at national scale;
    3. for2000_ca_reg.zip - Global forest mask calibrated to the FAO FRA statistics at continental scale;
    4. training_pc.csv - training data, which contains visual interpretation of very high resolution imagery at 20159 locations;
    5. validation.csv - validation data, which contains visual interpretation of very high resolution imagery at 1816 locations.

  18. OpenStreetMap Hybrid Reference

    • cacgeoportal.com
    • hub.arcgis.com
    • +2more
    Updated May 20, 2019
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    Esri (2019). OpenStreetMap Hybrid Reference [Dataset]. https://www.cacgeoportal.com/maps/f240fe360b434afc87dd989bf0c0b825
    Explore at:
    Dataset updated
    May 20, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads. This layer is designed to be overlaid on imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.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.

  19. a

    Google Satellite Hybrid

    • ministry-of-construction-portal-site-gisclm.hub.arcgis.com
    • hub.arcgis.com
    Updated Sep 14, 2023
    + more versions
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    hhstr270 (2023). Google Satellite Hybrid [Dataset]. https://ministry-of-construction-portal-site-gisclm.hub.arcgis.com/items/0207796c0b684d64a5f680d2fe341297
    Explore at:
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    hhstr270
    License

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

    Area covered
    Description

    Google Base Map content for Mohave County, Arizona.

    Development based on the following article: Add Google Maps to ArcMap and Pro

  20. Geospatial data for the Vegetation Mapping Inventory Project of Death Valley...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Dec 25, 2024
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    National Park Service (2024). Geospatial data for the Vegetation Mapping Inventory Project of Death Valley National Park [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-death-valley-national-park
    Explore at:
    Dataset updated
    Dec 25, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Cogan Technology, Inc. (CTI) created the digital vegetation map layer for the Death Valley National Park project area that covered 3,430,818 acres (1,389,486 ha). The resulting spatial database and vegetation map layer were created using a combination of 2020 (California) and 2019 (Nevada) National Agriculture Imagery Program (NAIP) basemap data, ground-based verification efforts, and a two-step, or hybrid mapping approach that used both manual and automated techniques. By comparing the vegetation signatures on the imagery to the field data, 90 map units (74 vegetated and 16 land-use/land-cover) were developed and used to delineate the plant communities. The interpreted vegetation polygons were then digitized into a Geographic Information System (GIS) layer that was field-tested, reviewed, and revised. The final DEVA vegetation map layer was assessed for overall thematic accuracy at 82% with a Kappa value of 89%.

Share
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Esri (2019). OpenStreetMap (Imagery Hybrid) [Dataset]. https://www.cacgeoportal.com/maps/7ba5fedbafb747ec9d50e61b55ca0844
Organization logo

OpenStreetMap (Imagery Hybrid)

Explore at:
Dataset updated
May 21, 2019
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads and includes imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.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.

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