100+ datasets found
  1. U

    Previous mineral-resource assessment data compilation - geodatabases with...

    • data.usgs.gov
    • catalog.data.gov
    + more versions
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    Heather Parks; Michael Zientek; M. Jenkins; Cassandra Hennings; John Wallis; Duc Nguyen; Pamela Cossette, Previous mineral-resource assessment data compilation - geodatabases with raster mosaic datasets [Dataset]. http://doi.org/10.5066/F7736P0C
    Explore at:
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Heather Parks; Michael Zientek; M. Jenkins; Cassandra Hennings; John Wallis; Duc Nguyen; Pamela Cossette
    License

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

    Time period covered
    2016
    Description

    This zip file contains geodatabases with raster mosaic datasets. The raster mosaic datasets consist of georeferenced tiff images of mineral potential maps, their associated metadata, and descriptive information about the images. These images are duplicates of the images found in the georeferenced tiff images zip file. There are four geodatabases containing the raster mosaic datasets, one for each of the four SaMiRA report areas: North-Central Montana; North-Central Idaho; Southwestern and South-Central Wyoming and Bear River Watershed; and Nevada Borderlands. The georeferenced images were clipped to the extent of the map and all explanatory text, gathered from map explanations or report text was imported into the raster mosaic dataset database as ‘Footprint’ layer attributes. The data compiled into the 'Footprint' layer tables contains the figure caption from the original map, online linkage to the source report when available, and information on the assessed commodities accordin ...

  2. 2023 NOAA NGS Ortho-rectified 4-band Mosaic of Miami, FL

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Oct 31, 2024
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    National Geodetic Survey (Point of Contact, Custodian) (2024). 2023 NOAA NGS Ortho-rectified 4-band Mosaic of Miami, FL [Dataset]. https://catalog.data.gov/dataset/2023-noaa-ngs-ortho-rectified-4-band-mosaic-of-miami-fl1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    U.S. National Geodetic Survey
    Area covered
    Florida, Miami
    Description

    This data set contains 4-band ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. They are 8 bit RGB and NIR band stacked mosaics with an alpha channel. The source imagery was acquired on 20231021 with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

  3. G

    High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation...

    • open.canada.ca
    fgdb/gdb, html, json +3
    Updated Mar 12, 2025
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    Natural Resources Canada (2025). High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation Series [Dataset]. https://open.canada.ca/data/en/dataset/0fe65119-e96e-4a57-8bfe-9d9245fba06b
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    json, pdf, html, fgdb/gdb, wms, wcsAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The High Resolution Digital Elevation Model Mosaic provides a unique and continuous representation of the high resolution elevation data available across the country. The High Resolution Digital Elevation Model (HRDEM) product used is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The mosaic is available for both the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) from web mapping services. It is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan. This strategy aims to increase Canada's coverage of high-resolution elevation data and increase the accessibility of the products. Unlike the HRDEM product in the same series, which is distributed by acquisition project without integration between projects, the mosaic is created to provide a single, continuous representation of strategy data. The most recent datasets for a given territory are used to generate the mosaic. This mosaic is disseminated through the Data Cube Platform, implemented by NRCan using geospatial big data management technologies. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The mosaic is available from Web Map Services (WMS), Web Coverage Services (WCS) and SpatioTemporal Asset Catalog (STAC) collections. Accessible data includes the Digital Terrain Model (DTM), the Digital Surface Model (DSM) and derived products such as shaded relief and slope. The mosaic is referenced to the Canadian Height Reference System 2013 (CGVD2013) which is the reference standard for orthometric heights across Canada. Source data for HRDEM datasets used to create the mosaic is acquired through multiple projects with different partners. Collaboration is a key factor to the success of the National Elevation Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

  4. Multibeam Bathymetry Mosaic

    • noaa.hub.arcgis.com
    Updated Apr 8, 2017
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    NOAA GeoPlatform (2017). Multibeam Bathymetry Mosaic [Dataset]. https://noaa.hub.arcgis.com/datasets/0441041574c544dc9b6b8a513cad5e95
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    Dataset updated
    Apr 8, 2017
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Earth
    Description

    Bathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: Mar. 5, 2024.Metadata for the Multibeam Bathymetric Database

  5. M

    Statewide Spring Aerial Imagery Mosaic Tile Cache (2009-2014)

    • gisdata.mn.gov
    ags_mapserver, html +1
    Updated Aug 16, 2022
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    Natural Resources Department (2022). Statewide Spring Aerial Imagery Mosaic Tile Cache (2009-2014) [Dataset]. https://gisdata.mn.gov/dataset/base-saip-2009-2014
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    ags_mapserver, jpeg, htmlAvailable download formats
    Dataset updated
    Aug 16, 2022
    Dataset provided by
    Natural Resources Department
    Description

    This tile cache web service represents a mosaic dataset that combined spring imagery conducted between 2009 and 2014 under the National Wetland Inventory (NWI) update project. All source imagery were acquired during spring, leaf-off conditions at either 1-ft or half-meter spatial resoltuion. The source imagery were also all acquired with four spectral bands (red, green, blue, or infrared). Tile cache services were created for both the true color (red-green-blue) and color-infrared (infrared-red-green) representations. The spatial extent is statewide.

    Metadata is also available for each of the individual acquisition phases.
    Northeast 2009 (30cm, 50cm)
    East-Central 2010 (30cm, 50cm)
    Southern 2011 (50cm)
    Northwest and Central 2013-14 (30cm, 50cm)

    The aerial imagery contractors for each phase included Keystone Aerial (northeast, Surdex (east-central & southern), and Quantum Spatial (northwest and central).

    Funding for this data was provided by the Minnesota Natural Heritage Fund, the Minnesota Clean Water Legacy Act, and The Environmental and Natural Resources Trust Fund.

  6. a

    Boundary

    • hub.arcgis.com
    • gis.data.alaska.gov
    • +8more
    Updated Dec 5, 2018
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    HSACadmin (2018). Boundary [Dataset]. https://hub.arcgis.com/maps/c265031c7914463584bbfb04b1964591_1/about
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    Dataset updated
    Dec 5, 2018
    Dataset authored and provided by
    HSACadmin
    Area covered
    Description

    Last Revised: April 2016

    Map Information

    This nowCOAST™ time-enabled map service provides maps of NOAA/National Weather Service (NWS) and Office of Oceanic and Atmospheric Research (OAR) Multi-Radar/Multi-Sensor (MRMS) mosaics of quality-corrected base reflectivity images across the Contiguous United States (CONUS) as well as Puerto Rico, Hawaii, Guam and Alaska with a 1 kilometer (0.62 mile) horizontal resolution. The mosaics are compiled by combining regional base reflectivity radar data obtained from Weather Surveillance Radar 1988 Doppler (WSR-88D) also known as NEXt-generation RADar (NEXRAD) sites across the country operated by the NWS and the Dept. of Defense and also from data from Terminal Doppler Weather Radars (TDWR) at major airports. The combined data is then adjusted using a quality-control algorithm developed by the NOAA National Severe Storms Laboratory (NSSL), and published in both GRIB2 and RGB GeoTIFF formats. nowCOAST processes and displays the data from the GRIB2 files. The colors on the map represent the strength of the energy reflected back toward the radar. The reflected intensities (echoes) are measured in dBZ (decibels of z). The color scale is the same as used in the NWS RIDGE2 map viewer, however dBZ values are rounded down to the integer during processing in order to improve display performance. The radar data itself is updated by the NWS every 10 minutes during non-precipitation mode, but every 2-6 minutes during precipitation mode. nowCOAST™ downloads, processes, and displays the latest mosaics every 4 minutes. For more detailed information about layer update frequency and timing, please reference the nowCOAST™ Dataset Update Schedule.

    Background Information

    Reflectivity is related to the power, or intensity, of the reflected radiation that is sensed by the radar antenna. Reflectivity is expressed on a logarithmic scale in units called dBZ. The "dB" in the dBZ scale is logarithmic and is unitless, and is used only to express a ratio. The "Z" is the ratio of the density of water drops (measured in millimeters raised to the 6th power) in each cubic meter (mm^6/m^3). When the "Z" is large (many drops in a cubic meter), the reflected power is large. A small "Z" means little returned energy. In fact, "Z" can be less than 1 mm^6/m^3 and since it is logarithmic, dBZ values will become negative, as is often the case when the radar is in clear air mode and indicated by earth tone colors. dBZ values are related to the intensity of rainfall. The higher the dBZ, the stronger the rain rate. A value of 20 dBZ is typically the point at which light rain begins. The values of 60 to 65 dBZ is about the level where 3/4 inch hail can occur. However, a value of 60 to 65 dBZ does not mean that severe weather is occurring at that location. The base reflectivity is the lowest (1/2 degree elevation angle) reflectivity scan from the radar. The source of the base reflectivity mosaics is the NOAA Multi-Radar/Multi-Sensor (MRMS) System, which is developed by the NOAA National Severe Storms Laboratory (NSSL) and operated by NWS/National Centers for Environmental Prediction (NCEP) Central Operations (NCO).

    Time Information

    This map service is time-enabled, meaning that each individual layer contains time-varying data and can be utilized by clients capable of making map requests that include a time component.

    In addition to ArcGIS Server REST access, time-enabled OGC WMS 1.3.0 access is also provided by this service.

    This particular service can be queried with or without the use of a time component. If the time parameter is specified in a request, the data or imagery most relevant to the provided time value, if any, will be returned. If the time parameter is not specified in a request, the latest data or imagery valid for the present system time will be returned to the client. If the time parameter is not specified and no data or imagery is available for the present time, no data will be returned.

    This service is configured with time coverage support, meaning that the service will always return the most relevant available data, if any, to the specified time value. For example, if the service contains data valid today at 12:00 and 12:10 UTC, but a map request specifies a time value of today at 12:07 UTC, the data valid at 12:10 UTC will be returned to the user. This behavior allows more flexibility for users, especially when displaying multiple time-enabled layers together despite slight differences in temporal resolution or update frequency.

    When interacting with this time-enabled service, only a single instantaneous time value should be specified in each request. If instead a time range is specified in a request (i.e. separate start time and end time values are given), the data returned may be different than what was intended.

    Care must be taken to ensure the time value specified in each request falls within the current time coverage of the service. Because this service is frequently updated as new data becomes available, the user must periodically determine the service's time extent. However, due to software limitations, the time extent of the service and map layers as advertised by ArcGIS Server does not always provide the most up-to-date start and end times of available data. Instead, users have three options for determining the latest time extent of the service:

      Issue a returnUpdates=true request (ArcGIS REST protocol only)
      for an individual layer or for the service itself, which will return
      the current start and end times of available data, in epoch time format
      (milliseconds since 00:00 January 1, 1970). To see an example, click on
      the "Return Updates" link at the bottom of the REST Service page under
      "Supported Operations". Refer to the
      ArcGIS REST API Map Service Documentation
      for more information.
    
    
      Issue an Identify (ArcGIS REST) or GetFeatureInfo (WMS) request against
      the proper layer corresponding with the target dataset. For raster
      data, this would be the "Image Footprints with Time Attributes" layer
      in the same group as the target "Image" layer being displayed. For
      vector (point, line, or polygon) data, the target layer can be queried
      directly. In either case, the attributes returned for the matching
      raster(s) or vector feature(s) will include the following:
    
    
          validtime: Valid timestamp.
    
    
          starttime: Display start time.
    
    
          endtime: Display end time.
    
    
          reftime: Reference time (sometimes referred to as
          issuance time, cycle time, or initialization time).
    
    
          projmins: Number of minutes from reference time to valid
          time.
    
    
          desigreftime: Designated reference time; used as a
          common reference time for all items when individual reference
          times do not match.
    
    
          desigprojmins: Number of minutes from designated
          reference time to valid time.
    
    
    
    
      Query the nowCOAST™ LayerInfo web service, which has been created to
      provide additional information about each data layer in a service,
      including a list of all available "time stops" (i.e. "valid times"),
      individual timestamps, or the valid time of a layer's latest available
      data (i.e. "Product Time"). For more information about the LayerInfo
      web service, including examples of various types of requests, refer to
      the 
      nowCOAST™ LayerInfo Help Documentation
    

    References

    Lin Tang, Jian Zhang, Carrie Langston and John Krause, Kenneth Howard,
    Valliappa Lakshmanan, 2014: A Physically Based Precipitation–Nonprecipitation
    Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time
    National System. Weather and Forecasting, 29, 1106–1119, doi: 10.1175/WAF-D-13-00072.1.
    (Available at http://journals.ametsoc.org/doi/full/10.1175/WAF-D-13-00072.1).
    
    
    
    NWS, 2013: Radar Images for GIS Software
    (http://www.srh.noaa.gov/jetstream/doppler/gis.htm).
    
  7. 2023 NOAA NGS MLLW Ortho-rectified 4-band Mosaic of Mississippi Sound,...

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Oct 31, 2024
    + more versions
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    National Geodetic Survey (Point of Contact, Custodian) (2024). 2023 NOAA NGS MLLW Ortho-rectified 4-band Mosaic of Mississippi Sound, Mississippi [Dataset]. https://catalog.data.gov/dataset/2023-noaa-ngs-mllw-ortho-rectified-4-band-mosaic-of-mississippi-sound-mississippi1
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    U.S. National Geodetic Survey
    Area covered
    Mississippi Sound, Mississippi
    Description

    This data set contains 4-band ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. They are 8 bit RGB and NIR band stacked mosaics with an alpha channel. The source imagery was acquired from 20230629 - 20230923 with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

  8. Multibeam Bathymetry Mosaic: Shaded Relief Visualization

    • noaa.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated May 5, 2020
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    NOAA GeoPlatform (2020). Multibeam Bathymetry Mosaic: Shaded Relief Visualization [Dataset]. https://noaa.hub.arcgis.com/maps/7c7dd79ba4dc4385be199e923d1b7c94
    Explore at:
    Dataset updated
    May 5, 2020
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    Bathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.This tiled service is also available as a downloadable tile package (.tpkx file) usable in ArcGIS Pro / ArcGIS Desktop software.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: Mar. 5, 2024.Metadata for the Multibeam Bathymetric Database

  9. 2023 NOAA NGS Ortho-rectified 4-band Mosaic of Sitka, AK

    • fisheries.noaa.gov
    • catalog.data.gov
    geotiff
    Updated Jan 1, 2023
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    National Geodetic Survey (2023). 2023 NOAA NGS Ortho-rectified 4-band Mosaic of Sitka, AK [Dataset]. https://www.fisheries.noaa.gov/inport/item/70701
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    geotiffAvailable download formats
    Dataset updated
    Jan 1, 2023
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    May 5, 2023
    Area covered
    Description

    This data set contains 4-band ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired on 20230505 with a Digital Sensor System (DSS) Version 6. The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

  10. 2019 NOAA NGS Ortho-rectified Color Mosaic of Pensacola, FL

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
    + more versions
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    National Geodetic Survey (Point of Contact, Custodian) (2024). 2019 NOAA NGS Ortho-rectified Color Mosaic of Pensacola, FL [Dataset]. https://catalog.data.gov/dataset/2019-noaa-ngs-ortho-rectified-color-mosaic-of-pensacola-fl2
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    U.S. National Geodetic Survey
    Area covered
    Pensacola, Florida
    Description

    This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired on 20191119 with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

  11. 2023 NOAA NGS Ortho-rectified 4-band Mosaic of Anchorage, AK

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 31, 2024
    + more versions
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    National Geodetic Survey (Point of Contact, Custodian) (2024). 2023 NOAA NGS Ortho-rectified 4-band Mosaic of Anchorage, AK [Dataset]. https://catalog.data.gov/dataset/2023-noaa-ngs-ortho-rectified-4-band-mosaic-of-anchorage-ak1
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    U.S. National Geodetic Survey
    Area covered
    Anchorage, Alaska
    Description

    This data set contains 4-band ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired on 20230513 with a Digital Sensor System (DSS) Version 6. The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

  12. d

    1935 15' Quad #106 Aerial Photo Mosaic Index - AZ.

    • datadiscoverystudio.org
    • datasets.ai
    • +3more
    ecw, html, xml
    Updated Sep 1, 2016
    + more versions
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    (2016). 1935 15' Quad #106 Aerial Photo Mosaic Index - AZ. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3dc9737aeb5e4e0c985043b34a188272/html
    Explore at:
    xml, html, ecwAvailable download formats
    Dataset updated
    Sep 1, 2016
    Description

    description: Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.; abstract: Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.

  13. d

    2011 NOAA Ortho-rectified Mosaic of New Jersey: Delaware Bay - New Jersey...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated May 22, 2025
    + more versions
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2025). 2011 NOAA Ortho-rectified Mosaic of New Jersey: Delaware Bay - New Jersey Shoreline [Dataset]. https://catalog.data.gov/dataset/2011-noaa-ortho-rectified-mosaic-of-new-jersey-delaware-bay-new-jersey-shoreline1
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    Dataset updated
    May 22, 2025
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Delaware Bay, New Jersey, Jersey Shore, Delaware
    Description

    This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20110421 - 20110608. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

  14. Mosaic

    • zenodo.org
    bin, jpeg
    Updated Jul 8, 2024
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    villski; villski (2024). Mosaic [Dataset]. http://doi.org/10.5281/zenodo.10348606
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    jpeg, binAvailable download formats
    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    villski; villski
    License

    Attribution 1.0 (CC BY 1.0)https://creativecommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    A mosaic of a leaf made from the assemblage of small pieces of colored stone.

    Source: Objaverse 1.0 / Sketchfab

  15. d

    1935 15' Quad #036 Aerial Photo Mosaic Index.

    • datadiscoverystudio.org
    • s.cnmilf.com
    • +3more
    ecw, html, xml
    Updated Sep 1, 2016
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    (2016). 1935 15' Quad #036 Aerial Photo Mosaic Index. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f6a9c9bcd1a2412e9dad99d7f4fe94d5/html
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    html, xml, ecwAvailable download formats
    Dataset updated
    Sep 1, 2016
    Description

    description: Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.; abstract: Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.

  16. a

    Kenai Fjords Image Mosaic - True Color

    • catalog.epscor.alaska.edu
    Updated Dec 17, 2019
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    (2019). Kenai Fjords Image Mosaic - True Color [Dataset]. https://catalog.epscor.alaska.edu/dataset/kenai-fjords-image-mosaic-true-color
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    Dataset updated
    Dec 17, 2019
    Area covered
    Kenai Peninsula Borough
    Description

    MrSid compression 20:1 of mosaic of Landsat Thematic Mapper 7 multispectral satellite image path 69 row 18 (August 9, 2000) for Kenai Fjords National Park. This Kenai Fjords image was created by the National Park Service Alaska Landcover Mapping Program. A satellite image from the August 9, 2000 TM7 overpass for path/row 69/18 was used to create the image. Coverage for the Park area is incomplete. The point of Cape Aialik was beyond the image coverage as were some of the offshore islands of the Maritime Refuge. The mosaic was created using the 30m visible bands (3,2,1) merged with the 15m panchromatic band. The resulting image has a 15m pixel size. The panchromatic band contains some infrared information that “enhances” the true color image. The mosaic is useful down to approximately 1:40,000. The source imagery was generated by the USGS MRLC program and was delivered in Alaska Albers-WSG84 projection. The final image was reprojected to NAD 27 using the ERDAS IMAGINE rigorous transformation.

  17. a

    Mosaic Coverage

    • hawaii-historical-shoreline-study-uhm.hub.arcgis.com
    Updated Jan 27, 2023
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    University of Hawaii at Manoa AGOL (2023). Mosaic Coverage [Dataset]. https://hawaii-historical-shoreline-study-uhm.hub.arcgis.com/datasets/mosaic-coverage
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    Dataset updated
    Jan 27, 2023
    Dataset authored and provided by
    University of Hawaii at Manoa AGOL
    Area covered
    Description

    Historical orthomosaics and satellite imagery of contiguous coastal imagery are the source for the shoreline change reference feature. Mosaics and imagery represent a snapshot in time of the shoreline. For historical shoreline change analysis, the instantaneous low water mark, also known as the toe of the beach and the vegetation line are digitized.

  18. d

    1935 15' Quad #128 Aerial Photo Mosaic Index.

    • datadiscoverystudio.org
    • gstore.unm.edu
    • +3more
    ecw, html, xml
    Updated Sep 1, 2016
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    (2016). 1935 15' Quad #128 Aerial Photo Mosaic Index. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6bf1bf52e881489380ee9165ff8d2ede/html
    Explore at:
    html, xml, ecwAvailable download formats
    Dataset updated
    Sep 1, 2016
    Description

    description: Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.; abstract: Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that are now archived at the Earth Data Analysis Center.

  19. d

    2011 NOAA Ortho-rectified Mosaic of Portland Maine.

    • datadiscoverystudio.org
    • datasets.ai
    • +4more
    Updated Feb 7, 2018
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    (2018). 2011 NOAA Ortho-rectified Mosaic of Portland Maine. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/eedf0809af4040fc9c1ee8037edb6852/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20111006 - 20111006. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic.; abstract: This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20111006 - 20111006. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

  20. Mosaic Import Data | Design And Direct Source

    • seair.co.in
    Updated Feb 26, 2024
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    Seair Exim (2024). Mosaic Import Data | Design And Direct Source [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 26, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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Heather Parks; Michael Zientek; M. Jenkins; Cassandra Hennings; John Wallis; Duc Nguyen; Pamela Cossette, Previous mineral-resource assessment data compilation - geodatabases with raster mosaic datasets [Dataset]. http://doi.org/10.5066/F7736P0C

Previous mineral-resource assessment data compilation - geodatabases with raster mosaic datasets

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Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Heather Parks; Michael Zientek; M. Jenkins; Cassandra Hennings; John Wallis; Duc Nguyen; Pamela Cossette
License

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

Time period covered
2016
Description

This zip file contains geodatabases with raster mosaic datasets. The raster mosaic datasets consist of georeferenced tiff images of mineral potential maps, their associated metadata, and descriptive information about the images. These images are duplicates of the images found in the georeferenced tiff images zip file. There are four geodatabases containing the raster mosaic datasets, one for each of the four SaMiRA report areas: North-Central Montana; North-Central Idaho; Southwestern and South-Central Wyoming and Bear River Watershed; and Nevada Borderlands. The georeferenced images were clipped to the extent of the map and all explanatory text, gathered from map explanations or report text was imported into the raster mosaic dataset database as ‘Footprint’ layer attributes. The data compiled into the 'Footprint' layer tables contains the figure caption from the original map, online linkage to the source report when available, and information on the assessed commodities accordin ...

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