100+ datasets found
  1. d

    USGS Digital Orthophoto Quadrangles

    • catalog.data.gov
    • s.cnmilf.com
    Updated Apr 10, 2025
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    DOI/USGS/EROS (2025). USGS Digital Orthophoto Quadrangles [Dataset]. https://catalog.data.gov/dataset/usgs-digital-orthophoto-quadrangles
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map. DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution. The USGS produces three types of DOQs: 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S. [Summary provided by the USGS.]

  2. a

    Wisconsin Leaf-Off Digital Orthophoto Web Map

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 20, 2018
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    Wisconsin Department of Natural Resources (2018). Wisconsin Leaf-Off Digital Orthophoto Web Map [Dataset]. https://data-wi-dnr.opendata.arcgis.com/maps/a31d6f2d3b1542d699a1bf90c077b330
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    Dataset updated
    Sep 20, 2018
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    Web map displaying WI DNR's Wisconsin Leaf-Off Digital Orthophotography imagery layer along with an index layer. This map can be used to identify the year and resolution of each county's imagery in this image service, or as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.*Note that this web map only contains DOPs that Wisconsin DNR has permission to display on a web map. Some counties may have newer DOPs.

  3. Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos -...

    • data.wu.ac.at
    xml
    Updated Aug 19, 2017
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    NSGIC Education | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Collier County [Dataset]. https://data.wu.ac.at/schema/data_gov/MGIyYjc5YTQtNjhmNi00NzJjLTgxMGYtMDk2MDRmYTMyNWE3
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    National States Geographic Information Council
    Area covered
    074cd08131c37641c3a3e11ec598add22c5714e4
    Description

    This dataset is a single orthophoto from a collection of GeoTIFF format, natural-color orthophotos covering Collier County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematicallyremoved. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Each orthophoto provides imagery for a 4500- by 4500-foot block on the ground at 0.5 foot pixel resolution. The projected coordinate system is State Plane, Florida East (FIPS 901), NAD83, Survey Feet. There is no image overlap in adjacent files. The imagery was captured using Zeiss/Intergraph Digital Mapping Camera (DMC). The county's existing LIDAR dataset collected in 2001 and 2005 were used as a DEM surface for the orthorectification process. The orthophotos are available in GeoTIFF and MrSID compressed forms.

  4. g

    Ortho-photos map 1963 (imagery Orthophoto Map 1993) | gimi9.com

    • gimi9.com
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    Ortho-photos map 1963 (imagery Orthophoto Map 1993) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_f4ced10d-ba6e-498f-a150-704b0f4f0576/
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    License

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

    Description

    Map of orthophotos of 1963 (Imagery Orthophoto Map1993) of free areas, from the collection of background maps of the Department of Land Registry and Surveying. The data shall be made available through a WMS service.

  5. d

    Historical orthophoto map series—Queensland

    • data.gov.au
    csv
    Updated Apr 19, 2021
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    Resources (2021). Historical orthophoto map series—Queensland [Dataset]. https://data.gov.au/dataset/ds-qld-baf18c57-0b4a-4d8d-bb83-39f8a5d25a0d
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    csvAvailable download formats
    Dataset updated
    Apr 19, 2021
    Dataset provided by
    Resources
    License

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

    Area covered
    Queensland
    Description

    Collection of digitised orthophoto maps over Queensland at various scales 1975–1996. An orthophoto map displays traditional map contours over an aerial photograph base. The quality of scans varies. …Show full descriptionCollection of digitised orthophoto maps over Queensland at various scales 1975–1996. An orthophoto map displays traditional map contours over an aerial photograph base. The quality of scans varies. The majority of series include key maps. Please note: Each CSV file includes a jpg_linkage column this column contains the URL required to access the related map scan.

  6. d

    DOQ = USGS Digital Orthophoto Quadrangle: 1987 - 2006

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). DOQ = USGS Digital Orthophoto Quadrangle: 1987 - 2006 [Dataset]. https://catalog.data.gov/dataset/doq-usgs-digital-orthophoto-quadrangle-1975-2005
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    'Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquadrangle (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) image cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 NAD83). The geographic extent of the DOQ is equivalent to a quarter-quadrangle plus the overage ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The overage is included to facilitate tonal matching for mosaicking and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. The radiometric image brightness values are stored as 256 gray levels, ranging from 0 to 255. The standard, uncompressed gray scale DOQ format contains an ASCII header followed by a series of 8-bit image data lines. The keyword-based, ASCII header may vary in the number of data entries. The header is affixed to the beginning of the image and is composed of strings of 80 characters with an asterisk (*) as character 79 and an invisible newline character as character 80. Each keyword string contains information for either identification, display, or registration of the image. Additional strings of blanks are added to the header so that the length of a header line equals the number of bytes in a line of image data. The header line will be equal in length to the length of an image line. If the sum of the byte count of the header is less than the sample count of one DOQ image line, then the remainder of the header is padded with the requisite number of 80 character blank entries, each terminated with an asterisk and newline character.'

  7. USGS Digital Orthophoto Quadrangles - Dataset - NASA Open Data Portal

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Mar 31, 2025
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    nasa.gov (2025). USGS Digital Orthophoto Quadrangles - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/usgs-digital-orthophoto-quadrangles
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map. DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution. The USGS produces three types of DOQs: 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S. [Summary provided by the USGS.]

  8. U

    UAV Aerial Survey Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 11, 2025
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    Archive Market Research (2025). UAV Aerial Survey Service Report [Dataset]. https://www.archivemarketresearch.com/reports/uav-aerial-survey-service-55897
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global UAV Aerial Survey Services market is experiencing robust growth, driven by increasing demand across diverse sectors. Technological advancements in drone technology, offering higher resolution imagery and improved data processing capabilities, are significantly contributing to this expansion. The market's versatility, providing cost-effective and efficient solutions for various applications, further fuels its growth. Specific sectors like construction, agriculture, and energy are key drivers, utilizing UAV surveys for site mapping, precision agriculture, pipeline inspections, and environmental monitoring. While regulatory hurdles and data security concerns present challenges, the market is overcoming these limitations through the development of standardized operating procedures and robust data encryption techniques. Assuming a conservative CAGR of 15% (a reasonable estimate given the rapid technological advancements and increasing adoption rates in this sector), and a 2025 market size of $2 billion, the market is projected to reach approximately $4.2 Billion by 2033. This substantial growth is further fueled by the increasing affordability and accessibility of UAV technology, enabling more businesses to leverage aerial survey services. The segmentation of the UAV Aerial Survey Services market reveals that orthophoto and oblique image services are widely utilized, catering to diverse application needs. Forestry and agriculture are dominant sectors, with construction, power and energy, and oil & gas industries rapidly adopting this technology. Regional analysis highlights strong growth in North America and Asia-Pacific, driven by significant investments in infrastructure development and agricultural modernization. Europe follows closely, spurred by government initiatives promoting sustainable development and environmental monitoring. The competitive landscape includes both established players like Kokusai Kogyo and Zenrin, and emerging specialized companies, indicating a dynamic and competitive market with potential for further consolidation and innovation. The continued development of advanced data analytics capabilities, integrated with UAV imagery, will create new opportunities and drive market expansion.

  9. Data from: Source Index Map Layer for High-Resolution Orthorectified Imagery...

    • dataone.org
    • portal.edirepository.org
    • +1more
    Updated Mar 11, 2015
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    William Manley; Eric Parrish; Leanne Lestak (2015). Source Index Map Layer for High-Resolution Orthorectified Imagery from Approximately 1990, Niwot Ridge LTER Project Area, Colorado [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-nwt%2F712%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    William Manley; Eric Parrish; Leanne Lestak
    Time period covered
    Sep 4, 1988
    Area covered
    Description

    Citation Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This vector shapefile is a source index map layer for the mosaic of orthorectified aerial photography from 1988 and 1990 for the Niwot Ridge Long Term Ecological Research (LTER) project. The index also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The index polygons are attributed with source photo date and photo year. The mosaic is derived from approx. 1:40,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National Aerial Photography Program (NAPP). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1985, approximately 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and accessory map layers. Together, the DEM's and imagery will be of interest to students, research scientists, and others for observation and analysis of natural features and ecosystems. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

  10. d

    Orthophoto map of Langtaler Ferner 1971

    • search.dataone.org
    • doi.pangaea.de
    • +1more
    Updated Jan 14, 2018
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    Brunner, Kurt (2018). Orthophoto map of Langtaler Ferner 1971 [Dataset]. http://doi.org/10.1594/PANGAEA.802140
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    Dataset updated
    Jan 14, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Brunner, Kurt
    Area covered
    Description

    As an example for the representation of glaciers using orthophoto maps the new map "Langtaler Ferner 1971" is presented. The orthophoto map shows the glacier "Langtaler Ferner" in the Oetztal Alps (Austria) on August 18, 1971. Apart from a description of the map production and a discussion of the advantages and disadvantages of such ortho- photo maps for the representation of glacierized areas, the stage of the "Langtaler Ferner" at the time of the ftight is described. A comparison with some data of previollsly published maps is also included.

  11. g

    TASMAP 1:5 000 Orthophoto Map Index | gimi9.com

    • gimi9.com
    Updated Jul 1, 2025
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    (2025). TASMAP 1:5 000 Orthophoto Map Index | gimi9.com [Dataset]. https://gimi9.com/dataset/au_tasmap-1-5-000-orthophoto-map-index
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    Dataset updated
    Jul 1, 2025
    Description

    The TASMAP 1:5000 Orthophoto Map Index shows the boundaries of the 1:5000 Cadastral/Orthophoto map series which was discontinued in 1998. Attributes include the map name and number, edition number and date. These products were never published as printed maps but available on request as film transparencies or in dyeline form. These products are no longer available.

  12. Historical orthophoto map series—Queensland

    • researchdata.edu.au
    Updated Apr 26, 2015
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    Natural Resources and Mines, Manufacturing and Regional and Rural Development (2015). Historical orthophoto map series—Queensland [Dataset]. https://researchdata.edu.au/historical-orthophoto-map-series8212queensland/659085
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    Dataset updated
    Apr 26, 2015
    Dataset provided by
    Queensland Governmenthttp://qld.gov.au/
    Authors
    Natural Resources and Mines, Manufacturing and Regional and Rural Development
    License

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

    Area covered
    Queensland
    Description

    Collection of digitised orthophoto maps over Queensland at various scales 1975–1996. An orthophoto map displays traditional map contours over an aerial photograph base. The quality of scans varies. The majority of series include key maps.\r \r Please note: Each CSV file includes a jpg_linkage column this column contains the URL required to access the related map scan.

  13. d

    Aerial Photography and Imagery, Ortho-Corrected - 2013 Digital Orthophotos -...

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Jan 1, 9999
    + more versions
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    Florida Department of Revenue (9999). Aerial Photography and Imagery, Ortho-Corrected - 2013 Digital Orthophotos - Dixie County [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/dc782b1fc200452488686eab3be3785b/html
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    original metadata record from dataset providerAvailable download formats
    Dataset updated
    Jan 1, 9999
    Dataset authored and provided by
    Florida Department of Revenue
    Area covered
    Description

    This dataset is a collection of GeoTIFF and MrSID format natural color orthophotos covering Dixie County, Florida. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Imagery was acquired for the County at 0.9 foot ground sample distance (GSD) resolution. The imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometric resolution during post processing. The imagery was captured with 30% sidelap between all adjacent flight lines. The imagery was obtained and processed by all digital means beginning with data acquisition using a Z/I Imaging Digital Mapping Camera (DMCII). The orthophotos are available in GeoTIFF and MrSID form. The projected coordinate system is State Plane Florida North (FIPS Zone 903), NAD 83 HARN, GRS 80, Units Survey Feet.

  14. v

    Orthophoto imagery 2015

    • opendata.vancouver.ca
    csv, excel, geojson +1
    Updated Jul 26, 2019
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    (2019). Orthophoto imagery 2015 [Dataset]. https://opendata.vancouver.ca/explore/dataset/orthophoto-imagery-2015/
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    geojson, csv, json, excelAvailable download formats
    Dataset updated
    Jul 26, 2019
    License

    https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

    Description

    An orthophoto is an aerial photograph that has been processed (via a scanning and rectification process) in such a way as to eliminate image displacement due to camera tilt and terrain relief, so that it represents every object as if viewed directly from above, as in a map which is usually in an orthographic projection. An orthophoto combines the visual properties of a photograph with the geometric qualities of a map and offers a realistic visualization of the landscape. The City's orthophoto coverage includes the City, UBC, and the University Endowment Lands and parts of Richmond and the Vancouver International Airport (YVR) as well. As such, it exceeds the area defined by the City's facet grid (see Facet Grid Boundaries). The 2015 orthophotos are our highest resolution imagery to date (7.5 cm). These were acquired as part of the Pictometry image collection. Their quality, colour, sharpness, and positional accuracy are very high. Data currency The 2015 orthophotos were captured in multiple days (April 9, 10, May 9 and July 17, 2015). This imagery is current as of these dates. Data accuracyImagery is accurate as of the dates it was taken although colours may or may not be exactly as occurred on that day as colours change from moment to moment due to sun and cloud cover.

  15. a

    Aerial OrthoPhoto / Contour Map Index

    • hub.arcgis.com
    • geohub.lacity.org
    • +4more
    Updated Nov 14, 2015
    + more versions
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    lahub_admin (2015). Aerial OrthoPhoto / Contour Map Index [Dataset]. https://hub.arcgis.com/datasets/lahub::aerial-orthophoto-contour-map-index
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    Dataset updated
    Nov 14, 2015
    Dataset authored and provided by
    lahub_admin
    Area covered
    Description

    The Index map to identify the file name of the image for this location.

  16. a

    Orthophoto Grid 2002 for NJ, 3424

    • njogis-newjersey.opendata.arcgis.com
    • share-open-data-njtpa.hub.arcgis.com
    Updated Jan 1, 2001
    + more versions
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    New Jersey Office of GIS (2001). Orthophoto Grid 2002 for NJ, 3424 [Dataset]. https://njogis-newjersey.opendata.arcgis.com/datasets/newjersey::orthophoto-grid-2002-for-nj-3424/explore
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    Dataset updated
    Jan 1, 2001
    Dataset authored and provided by
    New Jersey Office of GIS
    Area covered
    Description

    These 5000 foot tile index polygons define the boundaries of individual orthophoto image files produced for the New Jersey Orthophoto Mapping Program 2002-2003. The tile scheme is in New Jersey State Plane coordinates, NAD83, in units of US Survey feet.

  17. w

    Orthophoto Mosaic (2012) for Fish Bay, St. John

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    html, raster dataset
    Updated Feb 8, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). Orthophoto Mosaic (2012) for Fish Bay, St. John [Dataset]. https://data.wu.ac.at/schema/data_gov/MjAxNjE2MWUtYWNkOS00NjdlLWE3ZjMtNDVkMjVkYzBmMTBl
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    raster dataset, htmlAvailable download formats
    Dataset updated
    Feb 8, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    License

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

    Area covered
    8f3c3c2cd76b35bad260cd9ba45bf44176f46c1b
    Description

    This 0.3x0.3 meter imagery mosaic of Fish Bay, St. John in the U.S. Virgin Islands was created by the National Oceanic and Atmospheric Administration (NOAA) using a collection of orthophotos collected by the U.S. Army Corps of Engineers in 2012. This collection of orthophotos included: o134-004_NAD83.tif and o238-007_NAD83.tif. Sun glint was removed from each scene using the process described in: Hedley, J.D., A.R. Harborne and P.J. Mumby. 2005. Simple and robust removal of sun glint for mapping shallow-water benthos. International Journal of Remote Sensing 26(10): 2107 - 2112. The mosaic was created in ENVI 5.0.An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Each orthophoto provides imagery for a standard USGS 1/16th quadrangle map. The imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometric resolution during post processing. The imagery was captured with 60% forward overlap between adjacent scenes and 30% sidelap between all adjacent flight lines. The imagery was obtained and processed by all digital means beginning with data acquisition using a Z/I Imaging DMC-II 230 digital sensor. The orthophotos are available in GeoTIFF form. The projected coordinate system is State Plane Puerto Rico / US Virgin Islands (Zone 5200), NAD 83, GRS 80, Units Meters.

  18. W

    Heard Island: baseline data for monitoring longterm change. (c) Orthophotos...

    • cloud.csiss.gmu.edu
    • data.gov.au
    • +1more
    cfm, shp
    Updated Dec 14, 2019
    + more versions
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    Australia (2019). Heard Island: baseline data for monitoring longterm change. (c) Orthophotos used for vegetation mapping. [Dataset]. https://cloud.csiss.gmu.edu/uddi/fa_IR/dataset/a77c937c-16af-4aff-a0bd-07bf1d1b7c15
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    cfm, shpAvailable download formats
    Dataset updated
    Dec 14, 2019
    Dataset provided by
    Australia
    License

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

    Area covered
    Heard Island and McDonald Islands
    Description

    The vegetation mapping project used a set of 1987 and 1980 orthophotos and orthophoto mosaics for mapping and screen-digitising (see "Quality" section). Contact AADC for access to these. A shapefile of orthophoto coverage shows polygons for the areas where each orthophoto was used for mapping. This is an essential guide for use when matching the vegetation polygons to the correct orthophotos.

    A list of the orthophotos and orthophoto mosaics used for the vegetation mapping, with locations, is as follows: ('orthoantc' signifies 1987 series, 'orthocasc' signifies 1980 series. Run numbers are not included. Frame numbers are signified by 'f').

    Gilchrist Beach

    orthoantc1206_f50, f51, f52, f53

    Fairchild Beach

    orthoantc1209_f209, f210, f212

    Skua Beach/Stephenson Moraine

    orthoantc1209_f217, f218, f221, f223, f226

    Scarlet Hill

    orthoantc1202_f32, f34, f36

    Skua/Stephenson Moraine

    orthoantc_f226

    Spit north and Spit south

    orthoantc_f230, f232, f233, f240, f242

    orthocasc9495_f15

    Paddick Valley

    orthoantc_f251, f252

    orthocasc9495_f17

    Winston Lagoon/Capsize Beach

    orthoantc1209_f260, f261, f263

    orthoantc1206_f247

    South Barrier/Lambeth Bluff

    orthoantc1209_f263, f264, f266, f267, f268, f269, f271

    Lavett Bluff

    orthoantc1209_f282

    orthoantc1207_f030, f032, f033

    Long Beach

    orthoantc1209_f285, f287, f289, f291, f293, f295

    orthoantc1207_f20-f29 (mosaic)

    Cape Arkona/Cape Pillar

    orthoantc1209_f303-f315 (mosaic)

    orthoantc1208_f046, f047

    Henderson Bluff

    orthoantc1209_f320

    Walsh Bluff

    orthoantc1209_f327-f328 (mosaic)

    orthoantc1208_f11-f17 (mosaic)

    Cape Gazert

    orthocasc9495_f63

    Laurens Peninsula/Atlas Cove

    photo_mosaic_laurens_or (mosaic of nine casc9495 frames covering

    Laurens Peninsula and Atlas Cove area).

  19. m

    Maryland Historic Digital Orthophoto Quads Index Grid - Color Infrared DOQ...

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated Nov 30, 2016
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    ArcGIS Online for Maryland (2016). Maryland Historic Digital Orthophoto Quads Index Grid - Color Infrared DOQ Index Grid [Dataset]. https://data.imap.maryland.gov/datasets/610a8fde232a480ca94a094e3a8d4039
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    Dataset updated
    Nov 30, 2016
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This database provides the pertinent details of the color infrared digital orthophoto quarter quad (CIR DOOQ) maps and wetlands (DNR_Wetlands) maps produced by the Maryland Department of Natural Resources. This database provides a simple and effective means of documenting the exact dates of the source material and other quality and reference information. This is a supplement to the metadata files for the DOQQs and wetlands files.This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Map Service Layer:https://imagery.geodata.md.gov/imap/rest/services/DOQs/DOQIndexGrids/FeatureServer/0

  20. n

    USGS High Resolution Orthoimagery

    • cmr.earthdata.nasa.gov
    • catalog.data.gov
    Updated Jan 29, 2016
    + more versions
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    (2016). USGS High Resolution Orthoimagery [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220567548-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Earth
    Description

    High resolution orthorectified images combine the image characteristics of an aerial photograph with the geometric qualities of a map. An orthoimage is a uniform-scale image where corrections have been made for feature displacement such as building tilt and for scale variations caused by terrain relief, sensor geometry, and camera tilt. A mathematical equation based on ground control points, sensor calibration information, and a digital elevation model is applied to each pixel to rectify the image to obtain the geometric qualities of a map.

    A digital orthoimage may be created from several photographs mosaicked to form the final image. The source imagery may be black-and-white, natural color, or color infrared with a pixel resolution of 1-meter or finer. With orthoimagery, the resolution refers to the distance on the ground represented by each pixel.

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DOI/USGS/EROS (2025). USGS Digital Orthophoto Quadrangles [Dataset]. https://catalog.data.gov/dataset/usgs-digital-orthophoto-quadrangles

USGS Digital Orthophoto Quadrangles

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65 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 10, 2025
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Description

A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map. DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution. The USGS produces three types of DOQs: 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S. [Summary provided by the USGS.]

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