100+ datasets found
  1. d

    Scanned Maps by Sanborn - 1880

    • catalog.data.gov
    • hub.arcgis.com
    • +1more
    Updated Feb 4, 2025
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    City of Washington, DC (2025). Scanned Maps by Sanborn - 1880 [Dataset]. https://catalog.data.gov/dataset/scanned-maps-by-sanborn-1880
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Scanned map provided by Sanborn showing Washington DC in 1880.

  2. w

    Scanned Hardcopy Maps, Various scans of historic tax maps, stormwater and...

    • data.wu.ac.at
    • datadiscoverystudio.org
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Scanned Hardcopy Maps, Various scans of historic tax maps, stormwater and utility as-builts, plats, etc., Published in 2010, Glynn County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/NjAzNjNkYTgtMDYxZS00NTQ3LThkYzQtM2NjOWNmMzg1MDU2
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    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    4ecf0b1a27087def818eb1f35616c2b8151d9172
    Description

    Scanned Hardcopy Maps dataset current as of 2010. Various scans of historic tax maps, stormwater and utility as-builts, plats, etc..

  3. b

    BGS Scanned Maps (1:250k)

    • ogcapi.bgs.ac.uk
    Updated Mar 5, 2023
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    (2023). BGS Scanned Maps (1:250k) [Dataset]. https://ogcapi.bgs.ac.uk/collections/scanned-maps-250k
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    application/geo+json, html, application/schema+json, json, jsonldAvailable download formats
    Dataset updated
    Mar 5, 2023
    License

    https://www.bgs.ac.uk/information-hub/licensing/https://www.bgs.ac.uk/information-hub/licensing/

    Time period covered
    Jan 1, 1977 - Jan 1, 2009
    Area covered
    Description

    This layer includes the BGS 1:250k published maps. Maps in this series show three sorts of geological information; solid ‘bedrock’ geology, (S), Quaternary or ‘drift’ geology (Q), or sea-bed sediments (Ss). These are usually presented as separate sheets, although sea-bed sediments and Quaternary geology, or sea-bed sediments and solid geology may be shown on the same sheet. Quaternary geology maps are for offshore areas only. Sheets were published between 1977 and 2000 with a few special area sheets up to 2009. Sheets were issued on a regular grid based on the UTM of two degrees longitude by one degree latitude. Note the publication dates (latest mapping is available through the BGS digital maps). Map Index - https://www.bgs.ac.uk/data/maps/docs/OFF250k_coverage.pdf. List of Maps - https://www.bgs.ac.uk/data/maps/maps.cfc?method=listResults&mapName=&series=OFF250k&scale=&pageSize=174.

  4. d

    Historical ROW Maps

    • opendata.dc.gov
    • catalog.data.gov
    • +3more
    Updated Aug 17, 2020
    + more versions
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    City of Washington, DC (2020). Historical ROW Maps [Dataset]. https://opendata.dc.gov/datasets/historical-row-maps/api
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    Dataset updated
    Aug 17, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    Right of Way Scan. Right of Way Distribution Maps, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Scans provided by DDOT identified rights of way locations which were best fit to road planimetrics.

  5. b

    BGS Scanned Maps (1:500k)

    • ogcapi.bgs.ac.uk
    Updated Sep 29, 2022
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    (2022). BGS Scanned Maps (1:500k) [Dataset]. https://ogcapi.bgs.ac.uk/collections/scanned-maps-500k
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    json, html, application/schema+json, jsonld, application/geo+jsonAvailable download formats
    Dataset updated
    Sep 29, 2022
    License

    https://www.bgs.ac.uk/information-hub/licensing/https://www.bgs.ac.uk/information-hub/licensing/

    Time period covered
    Jan 1, 2002 - Jan 1, 2007
    Area covered
    Description

    This layer includes BGS 1:500k published maps. Click on the view_map link to open the map in a viewer. Note the publication dates (latest mapping is available through the BGS digital maps).

  6. f

    Data from: Automated and semi-automated map georeferencing

    • tandf.figshare.com
    txt
    Updated May 31, 2023
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    James E. Burt; Jeremy White; Gregory Allord; Kenneth M. Then; A-Xing Zhu (2023). Automated and semi-automated map georeferencing [Dataset]. http://doi.org/10.6084/m9.figshare.10033616.v2
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    James E. Burt; Jeremy White; Gregory Allord; Kenneth M. Then; A-Xing Zhu
    License

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

    Description

    Historical maps contain a wealth of information not generally available, but they must be referenced to well-known coordinate systems for maximum use in spatial analysis. Existing georeferencing tools are essentially manual, requiring considerable data entry, much panning and zooming, and precise on-screen digitizing. Here we present alternative approaches based on pattern-matching and spatial computing intended to overcome the inefficiencies of standard tools. We also describe and make available two computer programs implementing the methods discussed. The first, designed for large-scale quadrangles, locates map boundaries, finds ground control points, and produces georeferenced images without operator assistance. Experiments show that quadrangle georeferencing can be reliably automated (88% success rate in our tests). A second program, developed for general maps at any scale, uses self-learning and other approaches to overcome most of the manual aspects of georeferencing. Both programs find control points with single-pixel accuracy, yield transform errors on the order of map linewidth, and can produce warped or unwarped images as desired.

  7. d

    Scanned Hardcopy Maps, Prince George's County Scanned ADC Map Pages Mosaic...

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Aug 19, 2017
    + more versions
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    (2017). Scanned Hardcopy Maps, Prince George's County Scanned ADC Map Pages Mosaic from GIS Intergrated Solutions, Published in 2010, 1:12000 (1in=1000ft) scale, Prince George's County Government.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0b57458daeca40e088fdc9ad54900be8/html
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    Dataset updated
    Aug 19, 2017
    Description

    description: Scanned Hardcopy Maps dataset current as of 2010. Prince George's County Scanned ADC Map Pages Mosaic from GIS Intergrated Solutions.; abstract: Scanned Hardcopy Maps dataset current as of 2010. Prince George's County Scanned ADC Map Pages Mosaic from GIS Intergrated Solutions.

  8. BSEE Data Center - Scanned Pipeline Maps Query

    • catalog.data.gov
    • s.cnmilf.com
    Updated Feb 26, 2025
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    Bureau of Safety and Environmental Enforcement (2025). BSEE Data Center - Scanned Pipeline Maps Query [Dataset]. https://catalog.data.gov/dataset/bsee-data-center-scanned-pipeline-maps-query-95db7
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    Dataset updated
    Feb 26, 2025
    Dataset provided by
    Bureau of Safety and Environmental Enforcementhttp://www.bsee.gov/
    Description

    Scanned Pipeline Maps Query - You can now request these same well files, well logs, and well data as a free download through the File Request System ( https://www.data.bsee.gov/Other/FileRequestSystem/Default.aspx ). The Disc Media Store will be removed at some point in the future.

  9. w

    Historical St. Louis County Elections: St. Louis City Maps

    • data.library.wustl.edu
    • openscholarship.wustl.edu
    txt, zip
    Updated May 21, 2021
    + more versions
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    Crisp, Brian; Gabel, Matt (2021). Historical St. Louis County Elections: St. Louis City Maps [Dataset]. http://doi.org/10.7936/wncd-ts30
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    zip(275086612), txt(2843)Available download formats
    Dataset updated
    May 21, 2021
    Dataset provided by
    Washington University in St. Louis
    Authors
    Crisp, Brian; Gabel, Matt
    License

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

    Area covered
    St. Louis County, St. Louis
    Description

    This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr. Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

  10. b

    BGS Scanned Maps (1:1M)

    • ogcapi.bgs.ac.uk
    Updated Nov 29, 2018
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    (2018). BGS Scanned Maps (1:1M) [Dataset]. https://ogcapi.bgs.ac.uk/collections/scanned-maps-1m
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    jsonld, html, application/schema+json, json, application/geo+jsonAvailable download formats
    Dataset updated
    Nov 29, 2018
    License

    https://www.bgs.ac.uk/information-hub/licensing/https://www.bgs.ac.uk/information-hub/licensing/

    Time period covered
    Jan 1, 1987 - Jan 1, 1994
    Area covered
    Description

    This layer includes the BGS 1:1M published maps; Seabed Sediments; Bedrock; Quaternary, North and South sheets. Click on link in the view_map attribute to open the map in a viewer. Note the publication dates (latest mapping is available through the BGS digital maps).

  11. Aircraft Scanners

    • datasets.ai
    • s.cnmilf.com
    • +4more
    21
    Updated Feb 1, 2001
    + more versions
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    National Aeronautics and Space Administration (2001). Aircraft Scanners [Dataset]. https://datasets.ai/datasets/aircraft-scanners
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    21Available download formats
    Dataset updated
    Feb 1, 2001
    Dataset provided by
    NASAhttp://nasa.gov/
    Authors
    National Aeronautics and Space Administration
    Description

    The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available.

     In cooperation with the Jet Propulsion Laboratory and Daedalus 
     Enterprises,Inc., NASA developed several multispectral sensors. The
     data acquired from these sensors supports NASA's Airborne Science and
     Applications Program and have been identified as precursors to the
     instruments scheduled to fly on Earth Observing System platforms.
    
     THEMATIC MAPPER SIMULATOR
    
     The Thematic Mapper Simulator (TMS) sensor is a line scanning device  
     designed for a variety of Earth science applications. Flown aboard    
     NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of    
     View of 1.25 milliradians with a ground resolution of 81 feet (25 meters)   
      at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second   
      with 716 pixels per scan line. Swath width is 8.3 nautical miles    
     (15.4 kilometers) at 65,000 feet while the scanner's Field of View is    
     42.5 degrees. 
    
     NS-001 MULTISPECTRAL SCANNER 
    
     The NS-001multispectral scanner is a line scanning device designed to    
     simulate Landsat thematic mapper (TM) sensor performance, including a    
     near infrared/short-wave infrared band used in applications similar to those 
     of the TM sensor (e.g., Earth resources mapping, vegetation/land cover  
     mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001
     sensor has a nominal Instantaneous Field of View of 2.5 milliradians   with a
     ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a
     variable scan rate (10 to 100 scans per second) with 699 pixels per scan line,
     but the available motor drive supply restricts the maximum stable scan speed
     to approximately 85 revolutions per second. A scan rate of 100 revolutions per
     second is possible, but not probable, for short scan lines; therefore, a
     combination of factors, including aircraft flight requirements and maximum
     scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9
     nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or
     field of regard for the sensor is 100 degrees, plus or minus 15 degrees for
     roll compensation.     
    
     THERMAL INFRARED MULTISPECTRAL SCANNER     
    
     The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning 
     device originally designed for geologic applications. Flown aboard NASA
     C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a    
     nominal Instantaneous Field of View of 2.5 milliradians with a ground    
     resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a    
     selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels  
     per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at   
     10,000 feet while the scanner's Field of View is 76.56 degrees.
    
  12. MAP: Scanning Aerosol Backscatter Lidar - Field Dorade format

    • data.ucar.edu
    Updated Dec 26, 2024
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    UCAR/NCAR - Earth Observing Laboratory (2024). MAP: Scanning Aerosol Backscatter Lidar - Field Dorade format [Dataset]. http://doi.org/10.5065/D6N29V7D
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    Dataset updated
    Dec 26, 2024
    Dataset provided by
    University Corporation for Atmospheric Research
    Authors
    UCAR/NCAR - Earth Observing Laboratory
    Time period covered
    Sep 15, 1999 - Nov 13, 1999
    Area covered
    Description

    This dataset contains SABL (Scanning Aerosol Backscatter Lidar) field dorade format files obtained NSF/NCAR aircraft during the Mesoscale Alpine Programme (MAP) experiment.

  13. MAP: Scanning Aerosol Backscatter Lidar - png images and netCDF format...

    • data.ucar.edu
    Updated Dec 26, 2024
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    UCAR/NCAR - Earth Observing Laboratory (2024). MAP: Scanning Aerosol Backscatter Lidar - png images and netCDF format (Morley, B. [NCAR/EOL]) [Dataset]. http://doi.org/10.5065/D6WM1BQ4
    Explore at:
    Dataset updated
    Dec 26, 2024
    Dataset provided by
    University Corporation for Atmospheric Research
    Authors
    UCAR/NCAR - Earth Observing Laboratory
    Time period covered
    Sep 15, 1999 - Nov 13, 1999
    Area covered
    Description

    This dataset contains SABL (Scanning Aerosol Backscatter Lidar) png images and netCDF format files obtained aboard an NSF/NCAR aircraft during the Mesoscale Alpine Programme (MAP) experiment. Images and netCDF files are combined into a single tar file for each flight.

  14. d

    Language Atlas of the Pacific Scanned Atlas Leaves - New Guinea

    • data.depositar.io
    • ecaidata.org
    jgw, jpeg
    Updated Sep 2, 2022
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    ECAI Pacific Language Mapping (2022). Language Atlas of the Pacific Scanned Atlas Leaves - New Guinea [Dataset]. https://data.depositar.io/dataset/language-atlas-of-the-pacific-scanned-atlas-leaves-new-guinea
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    jpeg(1419671), jgw(156), jpeg(1573654), jpeg(1374320), jpeg(1065576), jpeg(1797284), jpeg(1004021), jpeg(373966), jpeg(1641198), jpeg(156), jpeg(351489), jpeg(159586), jpeg(1026623), jpeg(357465), jpeg(472563), jpeg(1291814), jpeg(267490), jpeg(1119637), jpeg(1379115), jpeg, jpeg(189874), jpeg(1537496), jpeg(1707524), jpeg(962833), jpeg(1090677), jpeg(1836413), jpeg(50223), jpeg(1746095), jpeg(1556502), jpeg(1143049), jpeg(1448736), jpeg(1025067), jpeg(468987), jpeg(200858), jpeg(1515706), jpeg(360994), jpeg(1415791), jpeg(1000480), jpeg(652515), jpeg(253501)Available download formats
    Dataset updated
    Sep 2, 2022
    Dataset provided by
    ECAI Pacific Language Mapping
    Area covered
    New Guinea
    Description

    New Guinea, including Papua New Guinea and Irian Jaya, Indonesia: scan of the map, legend, and reverse side of the map from the Language Atlas of the Pacific Area, Wurm and Hattori 1981 and 1983. Scans are made available through the Electronic Cultural Atlas Initiative (ECAI) as a result of cooperation between Academia Sinica and the ECAI Austronesian Atlas Team led by David Blundell and Lawrence Crissman. The Australian Academy of the Humanities, which owns the copyright to the available maps, has graciously permitted their reproduction and distribution in this digital format, and we are grateful for their support. Any public use of the maps should acknowledge their source and copyright ownership.

  15. a

    Alexandria (Arlington) County 1900 Map (Scan)

    • hub.arcgis.com
    • data.virginia.gov
    Updated Oct 31, 2022
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    Arlington County, VA - GIS Mapping Center (2022). Alexandria (Arlington) County 1900 Map (Scan) [Dataset]. https://hub.arcgis.com/datasets/da6b490b231845348c009ac59db67cc3
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    Dataset updated
    Oct 31, 2022
    Dataset authored and provided by
    Arlington County, VA - GIS Mapping Center
    Area covered
    Description

    Alexandria (Arlington) County 1900 Map. (Scan)

  16. F

    Full Site Scanner Report

    • promarketreports.com
    doc, pdf, ppt
    Updated May 12, 2025
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    Full Site Scanner Report [Dataset]. https://www.promarketreports.com/reports/full-site-scanner-122629
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

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

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

    The Full Site Scanner market is experiencing robust growth, driven by increasing demand for high-speed, accurate 3D data acquisition across various sectors. The market, valued at approximately $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key drivers, including the rising adoption of Building Information Modeling (BIM) in construction, the expanding use of 3D scanning in surveying and mapping for infrastructure development and precision agriculture, and the increasing need for detailed site documentation in accident investigations and forensic applications. The market is segmented by scanning speed (above and below 28,000 points per second) and application (surveying and mapping, project documentation, panoramic scanning). Higher-speed scanners dominate the market due to their efficiency in large-scale projects. While technological advancements and decreasing hardware costs are pushing market expansion, challenges such as the high initial investment cost for scanners and the need for specialized expertise in data processing might restrain market growth to some extent. The regional distribution of the Full Site Scanner market shows strong performance across North America and Europe, driven by established infrastructure and higher adoption rates of advanced technologies. Asia-Pacific is anticipated to witness significant growth in the coming years, fueled by rapid urbanization and infrastructure development in countries like China and India. However, the varying regulatory landscapes and infrastructure development in different regions will influence market penetration. Key players like Hexagon AB, Trimble Navigation, Topcon Positioning Systems, Teledyne Optech, and Carl Zeiss SMT are actively engaged in product innovation and strategic partnerships to solidify their market positions. The competitive landscape is characterized by ongoing technological advancements and strategic acquisitions, further shaping market dynamics.

  17. W

    Scanned images of BGS large scale geological maps

    • cloud.csiss.gmu.edu
    • metadata.bgs.ac.uk
    • +3more
    Updated Jan 1, 2020
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    United Kingdom (2020). Scanned images of BGS large scale geological maps [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/scanned-images-of-bgs-large-scale-geological-maps
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    Dataset updated
    Jan 1, 2020
    Dataset provided by
    United Kingdom
    Description

    Scanned images of Geological map 'Standards', manuscript and published maps produced by the Survey on County Series (1:10560) and National Grid (1:10560 & 1:10000) Ordnance Survey base maps. Current holdings over 41,000 maps for Great Britain. The majority of maps were scanned in 2004, any new maps produced are scanned and added to the collection.

  18. c

    Historic Zoning Maps

    • s.cnmilf.com
    • data.sfgov.org
    • +1more
    Updated Mar 29, 2025
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    data.sfgov.org (2025). Historic Zoning Maps [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/historic-zoning-maps
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    data.sfgov.org
    Description

    A. SUMMARY Scanned Zoning Maps from 1921, 1929, 1935, 1960, 1964, 1968, 1972, 1975, 1980. B. HOW THE DATASET IS CREATED These PDFs were created by scanning the original, paper, zoning maps. C. UPDATE PROCESS Additional older zoning maps may be added in future, as we progress with scanning all of our older records. D. HOW TO USE THIS DATASET Zoning ordinance and legends are included in the PDFs, which describe how to interpret the maps.

  19. d

    Scanned Hardcopy Maps, map book, Published in 2009, 1:24000 (1in=2000ft)...

    • datadiscoverystudio.org
    Updated Aug 19, 2017
    + more versions
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    (2017). Scanned Hardcopy Maps, map book, Published in 2009, 1:24000 (1in=2000ft) scale, Washington County Government.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f6b8db4d54d74042a7f21037ed8cceaf/html
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    Dataset updated
    Aug 19, 2017
    Description

    description: Scanned Hardcopy Maps dataset current as of 2009. map book.; abstract: Scanned Hardcopy Maps dataset current as of 2009. map book.

  20. M

    1:24k Digital Raster Graphic - Collars Removed

    • gisdata.mn.gov
    html, jpeg
    Updated Jan 25, 2023
    + more versions
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    Natural Resources Department (2023). 1:24k Digital Raster Graphic - Collars Removed [Dataset]. https://gisdata.mn.gov/dataset/base-usgs-scanned-topo-024k-drg
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    html, jpegAvailable download formats
    Dataset updated
    Jan 25, 2023
    Dataset provided by
    Natural Resources Department
    Description

    A digital raster graphic (DRG) is a scanned image of an U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map. The map is scanned at a minimum resolution of 250 dots per inch. DRG's are created by scanning published paper maps on high-resolution scanners. The raster image is georeferenced and fit to the UTM projection. Colors are standardized to remove scanner limitations and artifacts. The average data set size is about 6 megabytes in Tagged Image File Format (TIFF) with PackBits compression. DRG's can be easily combined with other digital cartographic products such as digital elevation models (DEM) and digital orthophoto quadrangles (DOQ). DRG's are stored as rectified TIFF files in geoTIFF format. GeoTIFF is a relatively new TIFF image storage format that incorporates georeferencing information in the header. This allows software, such as ArcView, ARC/INFO, or EPPL7 to reference the image without an additional header or world file. Within the Minnesota Department of Natural Resources Core GIS data set the DRG's have been processed to be in compliance with departmental data standards (UTM Extended Zone 15, NAD83 datum) and the map collar information has been removed to facilitate the display of the DRG's in a seamless fashion. These DRG's were clipped and transformed to UTM Zone 15 using EPPL7 Raster GIS.

    DRGs are a useful backdrop for mapping a variety of features. Colors representing various items in the image (contours, urban areas, vegetation, etc.) can be turned off or highlighted depending on the mapping application. In ArcView this is done by choosing the "Colormap" option when editing the DRG theme's legend. A variety of other ArcView tools exist to make working with DRGs easier.

    Also included:
    Metadata for the scanned USGS 24k Topograpic Map Series (also known as 24k Digital Raster Graphic). Each scanned map is represented by a polygon in the layer and the map date, photo revision date, and photo interpretation date are found in the corresponding attribute record. This layer facilitates searching for DRGs which were created or revised on or between particular dates. Also useful for ascertaining when a particular map sheet was created.

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City of Washington, DC (2025). Scanned Maps by Sanborn - 1880 [Dataset]. https://catalog.data.gov/dataset/scanned-maps-by-sanborn-1880

Scanned Maps by Sanborn - 1880

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Dataset updated
Feb 4, 2025
Dataset provided by
City of Washington, DC
Description

Scanned map provided by Sanborn showing Washington DC in 1880.

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