100+ datasets found
  1. d

    2020 Aerial Imagery

    • catalog.data.gov
    • open.tempe.gov
    • +7more
    Updated Jan 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Tempe (2025). 2020 Aerial Imagery [Dataset]. https://catalog.data.gov/dataset/2020-aerial-imagery
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    Hosted tile imagery from flights flown in late 2020 and originally published in May 2021.

  2. a

    Aerial Imagery 2020

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated May 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Florida Department of Environmental Protection (2021). Aerial Imagery 2020 [Dataset]. https://hub.arcgis.com/datasets/0b1f0a12f1ae4ec2ae5a4f0900043dfd
    Explore at:
    Dataset updated
    May 24, 2021
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    This imagery service contains natural color orthophotos covering counties that had imagery captured from December 2019 till July 2020. 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.Contact: GIS.Librarian@FloridaDEP.gov

  3. U

    Unprocessed aerial imagery from 19 April 2020 coastal survey of Central...

    • data.usgs.gov
    • gimi9.com
    • +2more
    Updated Dec 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Andrew Ritchie; Peter Triezenberg; Jonathan Warrick; Gerald Hatcher; Daniel Buscombe (2024). Unprocessed aerial imagery from 19 April 2020 coastal survey of Central California. [Dataset]. http://doi.org/10.5066/P9M3NYWI
    Explore at:
    Dataset updated
    Dec 23, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Andrew Ritchie; Peter Triezenberg; Jonathan Warrick; Gerald Hatcher; Daniel Buscombe
    License

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

    Time period covered
    Apr 19, 2020
    Area covered
    Central California, California
    Description

    This is a set of 2889 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

  4. d

    Delaware Atlantic coast, 2020 - Aerial Imagery

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2024). Delaware Atlantic coast, 2020 - Aerial Imagery [Dataset]. https://catalog.data.gov/dataset/delaware-atlantic-coast-2020-aerial-imagery
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    East Coast of the United States, Delaware
    Description

    Low altitude (300 meters above ground level (AGL)) digital aerial imagery were acquired on May 4 and 5, 2020, from a manned, fixed-wing aircraft using a Sony A7R 36 Megapixel digital camera, along with precise aircraft location Global Navigation Satellite System (GNSS) data. Data were collected in shore-parallel lines, flying at approximately 50 meters per second and capturing true color imagery at 1 Hertz, resulting in image footprints with approximately 75-80% endlap, 60-70% sidelap, and a ground sample distance (GSD) of 5.3 centimeters. The precise time of each image capture (flash event) was recorded, and the corresponding aircraft position was computed in post-processing from the aircraft navigation GNSS data; precise image positions can then be determined by accounting for the lever arm offsets between the aircraft GNSS antenna and the camera lens. Position data, provided as latitude/longitude/ellipsoid height, is referenced to the North American Datum of 1983 (NAD83(2011)).

  5. a

    Milwaukee County 2020 Aerial Imagery Layer

    • hub.arcgis.com
    Updated Oct 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Milwaukee County GIS & Land Information (2020). Milwaukee County 2020 Aerial Imagery Layer [Dataset]. https://hub.arcgis.com/datasets/2347970abf3f4d8593ad30bd11719af3
    Explore at:
    Dataset updated
    Oct 12, 2020
    Dataset authored and provided by
    Milwaukee County GIS & Land Information
    Area covered
    Description

    3-inch ortho-rectified vertical aerial photography covering Milwaukee County Wisconsin - captured April 2020.The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicking was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.

  6. a

    2020 Aerial Imagery

    • hub.arcgis.com
    Updated Feb 29, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sarasota County GIS (2020). 2020 Aerial Imagery [Dataset]. https://hub.arcgis.com/datasets/1313a65a9c6d4f39b26c032e7fbafd0d
    Explore at:
    Dataset updated
    Feb 29, 2020
    Dataset authored and provided by
    Sarasota County GIS
    Area covered
    Description

    2020 Natural Color 4-inch pixel resolution imagery for Sarasota County, Florida. Flight dates December 16, 2019 thru January 5, 2020.

  7. a

    Aerial Imagery 2020

    • hub.arcgis.com
    Updated May 21, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AlamedaCounty.CA.US (2021). Aerial Imagery 2020 [Dataset]. https://hub.arcgis.com/maps/bc5977e9a85649ef882f86d66f05f0be
    Explore at:
    Dataset updated
    May 21, 2021
    Dataset provided by
    AlamedaCounty.CA.US
    Area covered
    Description

    Alameda County aerial imagery flown Spring 2020. Maintained by Alameda County Information Technology Department. Contact (510) 383-5000 to report any information discrepancies.

  8. 2020 Aerial Imagery

    • researchdata.edu.au
    Updated Jun 25, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Melbourne Open Data (2025). 2020 Aerial Imagery [Dataset]. https://researchdata.edu.au/2020-aerial-imagery/3676246
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    City of Melbourne Open Data
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Aerial image (true ortho) mosaic of the City of Melbourne municipal area. The true ortho image has been corrected to provide a true ‘top down’ view of the city, removing building lean and other interference typically found in oblique aerial imagery. The aerial image was captured May 2020 and is available for download in georeferenced format (JPEG2000). Capture Information - Capture Date: May 2020 - Capture Pixel Size: 10cm ground sample distance - Map Projection: MGA 2020 Zone 55 – 11 cm absolute accuracy Limitations:

    Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects. Preview Image: See an example image showing the data quality of the aerial:

    Download: Download the aerial image data as a zipped .jpg2000 file. (45GB)

  9. NAIP 2020 4-Band 60cm California

    • data.cnra.ca.gov
    • data.ca.gov
    • +5more
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Fish and Wildlife (2023). NAIP 2020 4-Band 60cm California [Dataset]. https://data.cnra.ca.gov/dataset/naip-2020-4-band-60cm-california
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    California
    Description
    This service delivers all 4 bands of the NAIP 2020 60cm aerial imagery and may be slower than other related NAIP 2020 services because of the amount and/or format of data being served. Band1=R, Band2=G, Band3=B, Band4=NearIR.

    This service is offered by the California Department of Fish and Wildlife (CDFW). For more information about CDFW map services, please visit: https://wildlife.ca.gov/Data/GIS/Map-Services
  10. d

    Unprocessed aerial imagery from 25 January 2020 coastal survey of Central...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Sep 27, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2024). Unprocessed aerial imagery from 25 January 2020 coastal survey of Central California. [Dataset]. https://catalog.data.gov/dataset/unprocessed-aerial-imagery-from-25-january-2020-coastal-survey-of-central-california
    Explore at:
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Central California, California
    Description

    This is a set of 1880 oblique aerial photogrammetric images and their derivatives, collected from Monterey to Big Sur with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

  11. A

    2020 Imagery

    • data.amerigeoss.org
    Updated Sep 22, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States (2021). 2020 Imagery [Dataset]. https://data.amerigeoss.org/dataset/2020-imagery-250de
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 22, 2021
    Dataset provided by
    United States
    License

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

    Description

    Link to folder containing authoritative 2020 imagery for Sioux Falls, South Dakota. The 2020 imagery is one-foot resolution color orthoimagery taken on August 10th, 2020.

  12. a

    2020 Imagery

    • communautaire-esrica-apps.hub.arcgis.com
    • insights-york.opendata.arcgis.com
    • +2more
    Updated Sep 24, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Regional Municipality of York (2021). 2020 Imagery [Dataset]. https://communautaire-esrica-apps.hub.arcgis.com/datasets/york::2020-imagery-1
    Explore at:
    Dataset updated
    Sep 24, 2021
    Dataset authored and provided by
    The Regional Municipality of York
    Area covered
    Description

    Colour aerial photography at 1:10 000 scale of the Regional Municipality of York, Ontario taken in 2020 by First Base Solutions Inc. colour digital orthophotography was developed from these images. Orthophotographs combine the image characteristics of the photograph with the geometric qualities of a map. Orthophotography was developed for the entire region. The 2020 digital orthophotographs have a 10cm ground pixel resolution. The 2020 digital orthophotos were subdivided into 1 kilometre by 1 kilometre tiles and were delivered in georeferenced Geotiff image files. The image tiles are horizontally referenced to 6 degree UTM projection and NAD -83 datum. Vertical control datum is referenced to mean sea level as Bench Marks established by the Geodetic Survey of Canada (CGVD28). The images were later combined by municipality and converted into nine MrSid format images covering the entire region.

  13. a

    Imagery Hybrid 2020

    • hub.arcgis.com
    Updated Jun 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sherburne County GIS (2020). Imagery Hybrid 2020 [Dataset]. https://hub.arcgis.com/maps/dde5e10627e9421ba79e305aa80d168a
    Explore at:
    Dataset updated
    Jun 24, 2020
    Dataset authored and provided by
    Sherburne County GIS
    Area covered
    Description

    2020 Imagery with basemap layers

  14. 2020 NOAA NGS Emergency Response Imagery: Hurricane Delta

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 29, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Geodetic Survey (Point of Contact, Custodian) (2025). 2020 NOAA NGS Emergency Response Imagery: Hurricane Delta [Dataset]. https://catalog.data.gov/dataset/2020-noaa-ngs-emergency-response-imagery-hurricane-delta1
    Explore at:
    Dataset updated
    May 29, 2025
    Dataset provided by
    U.S. National Geodetic Survey
    Description

    Oblique and nadir imagery was acquired following Hurricane Delta in October 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).

  15. 2020 NOAA NGS Emergency Response Imagery: Hurricane Isaias

    • catalog.data.gov
    • gimi9.com
    • +2more
    Updated May 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Geodetic Survey (Point of Contact, Custodian) (2025). 2020 NOAA NGS Emergency Response Imagery: Hurricane Isaias [Dataset]. https://catalog.data.gov/dataset/2020-noaa-ngs-emergency-response-imagery-hurricane-isaias1
    Explore at:
    Dataset updated
    May 29, 2025
    Dataset provided by
    U.S. National Geodetic Survey
    Description

    Oblique and nadir imagery was acquired following Hurricane Isaias in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).

  16. D

    Imagery

    • catalog.dvrpc.org
    • staging-catalog.cloud.dvrpc.org
    html
    Updated Mar 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DVRPC (2025). Imagery [Dataset]. https://catalog.dvrpc.org/dataset/imagery
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    Delaware Valley Regional Planning Commissionhttps://www.dvrpc.org/
    Authors
    DVRPC
    License

    https://catalog.dvrpc.org/dvrpc_data_license.htmlhttps://catalog.dvrpc.org/dvrpc_data_license.html

    Description

    Aerial imagery is an essential tool for planning and analysis. It presents a comprehensive view of regional conditions. Having access to aerial imagery from various years provides the user with a chronological record of land use patterns. Aerials have been an important component of DVRPC's planning efforts for many years. They are also a popular source of information for consultants, developers, engineers, realtors, and the general public.

    Orthoimagery consists of rectified or geometrically corrected aerial images that have been processed so that any distortions stemming from topographic relief and camera position are removed. This results in an accurate representation of the Earth's surface. Due to its uniform scale, distances between features can be measured on an orthoimage. Where these features touch the ground, they are shown in their true x and y map position.

    Available for the years 2000 through 2020 in five-year increments

    • Covers the entire 3,833 square mile DVRPC 9-county region (Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania and Burlington, Camden, Gloucester, and Mercer counties in New Jersey)
    • The 2000 orthoimagery is grayscale with a 1.5 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
    • The 2005 and 2010 orthoimagery is 3-band, natural color, with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
    • The 2015 orthoimagery is 4-band (allows for display in either natural color or color infrared) with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
    • The 2000, 2005, 2010 and 2015 orthoimagery tiles are referenced to their respective State Plane map coordinate system (either NJ State Plane NAD83 or PA State Plane South Zone NAD83)
    • Each orthoimagery tile covers approximately 1.6 square miles of land area; Using Geographic Information System (GIS) software, individual tiles can be viewed together as a seamless mosaic of a larger area
    • The 2020 orthoimagery is 3-band, natural color with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'; Available as county mosaics in JPEG 2000 format referenced to UTM Zone 18N - NAD83 (2011)
  17. d

    Data from: Orthomosaic imagery for Whiskeytown Lake and surrounding area,...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2024). Orthomosaic imagery for Whiskeytown Lake and surrounding area, northern California, 2020-11-10 [Dataset]. https://catalog.data.gov/dataset/orthomosaic-imagery-for-whiskeytown-lake-and-surrounding-area-northern-california-2020-11-
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Whiskeytown Lake, California
    Description

    This portion of the data release presents an RGB orthomosaic image of Whiskeytown Lake and the surrounding area derived from Structure from Motion (SfM) processing of aerial imagery acquired on 2020-11-10. The orthomosaic is available in a high-resolution 5-centimeter (cm) version, as well as a medium-resolution 25 cm version. The high-resolution version is divided into two tiles (east and west) to reduce file download sizes. All imagery is provided in a three-band cloud optimized GeoTIFF format, with 8-bit unsigned integer values compressed using high-quality JPEG compression. The raw imagery used to create the orthomosaic image was acquired from a manned aircraft on 2020-11-10. The acquisition flight was conducted by The 111th Group Aerial Photography, using a Hasselblad A6D-100c camera. The imagery was acquired from an approximate altitude of 880 meters (2,900 feet) above ground level, to produce a nominal ground sample distance (pixel size) of 5 centimeters (2 inches). An onboard dual-frequency GPS receiver was used to record the precise time and position of each image. Coordinates for ground control points consisting of photo-identifiable objects were measured independently using survey-grade post-processed kinematic (PPK) GPS.

  18. 2020 NOAA NGS Emergency Response Imagery: Hurricane Laura

    • fisheries.noaa.gov
    • gimi9.com
    • +1more
    html
    Updated Aug 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Geodetic Survey (NGS) (2020). 2020 NOAA NGS Emergency Response Imagery: Hurricane Laura [Dataset]. https://www.fisheries.noaa.gov/inport/item/62819
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 27, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Authors
    National Geodetic Survey (NGS)
    Time period covered
    Aug 27, 2020 - Aug 31, 2020
    Area covered
    Description

    Oblique and nadir imagery was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).

  19. g

    Imagery-Satellite-SPOT 2020

    • gimi9.com
    Updated May 21, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Imagery-Satellite-SPOT 2020 [Dataset]. https://gimi9.com/dataset/au_nsw-spot-mosaic-nsw-2020-a/
    Explore at:
    Dataset updated
    May 21, 2024
    Description

    The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by DCS Spatial for NSW Government. The images were captured January 2020 through to April 2020. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through Geospatial Intelligence Pty Ltd who partnered with GeoImages Pty Ltd and Airbus Defence and Space. SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health. Data products supplied for all of NSW are: State-wide mosaic 100k Mapsheet tiles Multi spectral scenes Panchromatic scenes Shapefile cutlines of statewide mosaic The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (553gb in size). Individual 100k mapsheet mosaics contain BGR+NIR band combination; unenhanced 16-bit GeoTIFF format tile with an ESRI world file. The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees. The 4band 100k mapsheet tiles are available for download from JDAP. The rectified multispectral and panchromatic scenes are available for download from JDAP (pending) Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP These image products are only available to other NSW Government agencies upon request.

  20. g

    2020 Aerial Imagery | gimi9.com

    • gimi9.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    2020 Aerial Imagery | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_2020-aerial-imagery/
    Explore at:
    License

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

    Description

    🇺🇸 미국

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Tempe (2025). 2020 Aerial Imagery [Dataset]. https://catalog.data.gov/dataset/2020-aerial-imagery

2020 Aerial Imagery

Explore at:
92 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 17, 2025
Dataset provided by
City of Tempe
Description

Hosted tile imagery from flights flown in late 2020 and originally published in May 2021.

Search
Clear search
Close search
Google apps
Main menu