USGS Digital Orthophoto Quadrangles

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:

  1. 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.

  2. 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.

  3. 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.]

Data and Resources

Additional Info

Field Value
Maintainer LTA REPRESENTATIVE USGS EROS CENTER
Last Updated March 31, 2025, 16:13 (UTC)
Created March 31, 2025, 16:13 (UTC)
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation U.S. Geological Survey (USGS) EROS Data Center (EDC). 1997-05-14. Digital Orthophoto Quadrangles. Menlo Park, CA USA. Archived by National Aeronautics and Space Administration, U.S. Government, U.S. Geological Survey. https://lta.cr.usgs.gov/DOQs. Remote-sensing images.
creator U.S. Geological Survey (USGS) EROS Data Center (EDC)
data-presentation-form Remote-sensing images
harvest_object_id 5b41f6ad-0f6c-4d4a-a45b-21bce0f19e51
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier C1220566203-USGS_LTA
issued 2019-09-20
landingPage https://cmr.earthdata.nasa.gov:443/search/concepts/C1220566203-USGS_LTA.html
language {en-US}
metadata_type geospatial
modified 2019-03-25
programCode {026:001}
publisher DOI/USGS/EROS
release-place Menlo Park, CA USA
resource-type Dataset
source_datajson_identifier true
source_hash 966844e94fd19ec58a13bd0094b2a16b204d67c83d88cc8d76cd3a22ccae75fc
source_schema_version 1.1
spatial -126.0 24.0 -66.0 49.0
temporal 1970-01-01T00:00:00Z/2022-01-17T00:00:00Z
theme {geospatial}