100+ datasets found
  1. WSDOT - Survey Monuments

    • geo.wa.gov
    • gisdata-wsdot.opendata.arcgis.com
    Updated Oct 3, 2025
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    WSDOT Online Map Center (2025). WSDOT - Survey Monuments [Dataset]. https://geo.wa.gov/items/53675a65975b46299aaf211577b5dd26
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    Dataset updated
    Oct 3, 2025
    Dataset provided by
    Washington State Department of Transportationhttps://wsdot.wa.gov/
    Authors
    WSDOT Online Map Center
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Geodetic Survey Section within WSDOT has installed and maintains a majority of the primary (Geodetic) survey control used by the Department of Transportation in its ongoing construction and road maintenance programs. As part of this process the Survey Section maintains a Survey-Monuments database. The GIS file is updated nightly and sourced from a SQL database. Updates to the SQL database are irregular but the GIS data will be as recent as the most current version of the SQL database. This data is provided for mapping purposes only. This data does not contain the complete range of attributes and information that are available for each station within the database. If you need the physical geodetic coordinates for a monument, please obtain it from the database.Note: if you need the coordinates for a station for survey work you should use the coordinates shown in the datasheet for the station NOT the coordinates contained in this layer for the feature.This service is maintained by the WSDOT GIS & Roadway Data Office. If you are having trouble viewing the service, please contact OnlineMapSupport@wsdot.wa.gov.

  2. d

    Geodetic Control Points

    • opendata.dc.gov
    • s.cnmilf.com
    • +3more
    Updated Mar 22, 2024
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    City of Washington, DC (2024). Geodetic Control Points [Dataset]. https://opendata.dc.gov/datasets/DCGIS::geodetic-control-points/about
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    Dataset updated
    Mar 22, 2024
    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

    Control points are captured by land surveyors to create control for orthophotography. These points are captured with survey-grade equipment ensuring the highest accuracy in their location. Horizontal Control Point: Surveyed horizontal geodetic control points that are used in the development of an analytical aerotriangulation solution. Vertical Control Point: Surveyed vertical geodetic control points that are used in the development of an analytical aerotriangulation solution.

  3. WSDOT - Survey Monuments - Map Image

    • hub.arcgis.com
    • geo.wa.gov
    Updated Jul 3, 2024
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    WSDOT Online Map Center (2024). WSDOT - Survey Monuments - Map Image [Dataset]. https://hub.arcgis.com/datasets/502551c8979f488095da2a4675d829ab
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Washington State Department of Transportationhttps://wsdot.wa.gov/
    Authors
    WSDOT Online Map Center
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This layer uses event mapping to place all geodetic monuments maintained or owned by the Washington State Department of Transportation. The input table is exported daily at 2:00 AM from the production Survey Information System (SIS). Note if you need the coordinates for a station for survey work you should use the coordinates shown in the datasheet for the station NOT the coordinates contained in this layer for the feature.This service is maintained by the WSDOT GIS & Roadway Data Office. If you are having trouble viewing the service, please contact OnlineMapSupport@wsdot.wa.gov.

  4. d

    Geodetic Survey Network Observations (LGATE-261) - Datasets - data.wa.gov.au...

    • catalogue.data.wa.gov.au
    Updated Jan 11, 2019
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    (2019). Geodetic Survey Network Observations (LGATE-261) - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/geodetic-survey-network-observations
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    Dataset updated
    Jan 11, 2019
    Area covered
    Western Australia
    Description

    Contains survey observations stored in the Landgate GEodetic Survey MArk Register. The dataset includes the observation types: Angles, Distances, Azimuths, GNSS Baselines and Height Differences. This dataset is complemented by LGATE-076 which contains the coordinates and metadata for the geodetic marks. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

  5. Shoreline Mapping Program of LAKE WASHINGTON, WA, WA0902-CM-N

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Jan 1, 2021
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    National Geodetic Survey (2021). Shoreline Mapping Program of LAKE WASHINGTON, WA, WA0902-CM-N [Dataset]. https://www.fisheries.noaa.gov/inport/item/65697
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2021
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Aug 12, 2010 - Jul 26, 2020
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of LAKE WASHINGTON, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute...

  6. Shoreline Mapping Program of PORT OF WASHINGTON, DC, DC1301

    • fisheries.noaa.gov
    • datasets.ai
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Mapping Program of PORT OF WASHINGTON, DC, DC1301 [Dataset]. https://www.fisheries.noaa.gov/inport/item/61403
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Oct 23, 2012
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF WASHINGTON, DC . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribu...

  7. d

    Geodetic Control View - Datasets - data.wa.gov.au

    • catalogue.data.wa.gov.au
    Updated Nov 25, 2020
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    (2020). Geodetic Control View - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/mrwa-geodetic-control-view
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    Dataset updated
    Nov 25, 2020
    License

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

    Area covered
    Western Australia
    Description

    Main Roads WA Geodetic Control data, used to underpin engineering grade survey, mapping and laser scanning operations. Points contain MGA or Project Zone coordinate values, horizontal and vertical accuracy and methodology, with supporting Latitude and Longitude values in GDA94 or GDA2020 as appropriate.This data is used for road investigation, planning, design, construction and asset management. The geodetic control network underpins the relative accuracy of the survey data, and in conjunction with the project zones, provides surveyors with an important resource to ensure engineering survey standards are met and maintained.The data within this layer is continually maintained and edited on a daily basis.Data Dictionary: https://bit.ly/32uGPoF

  8. d

    Geodetic Marks - Datasets - data.wa.gov.au

    • catalogue.data.wa.gov.au
    Updated Nov 13, 2025
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    (2025). Geodetic Marks - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/geodetic-marks
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    Dataset updated
    Nov 13, 2025
    Area covered
    Western Australia
    Description

    Google KMZ file of SSM and Bencharks with associated metadata. This file can be downloaded directly but is primarily used as a network link for a KML file available from the Landgate website Show full description

  9. Shoreline Mapping Program of SEATTLE AND LAKE WASHINGTON SHIP CANAL, WA,...

    • fisheries.noaa.gov
    • datasets.ai
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Mapping Program of SEATTLE AND LAKE WASHINGTON SHIP CANAL, WA, WA1206-CM-N [Dataset]. https://www.fisheries.noaa.gov/inport/item/61837
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Sep 13, 2012 - Apr 30, 2014
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of SEATTLE AND LAKE WASHINGTON SHIP CANAL, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartogr...

  10. Shoreline Data Rescue Project of Elliot Bay, Washington, PH6712

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Jan 1, 2020
    + more versions
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    National Geodetic Survey (2020). Shoreline Data Rescue Project of Elliot Bay, Washington, PH6712 [Dataset]. https://www.fisheries.noaa.gov/inport/item/62607
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Jul 1, 1966
    Area covered
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Elliot Bay, Washington suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS at...

  11. d

    Nearshore bathymetry of the Columbia River littoral cell, Washington and...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Oct 1, 2025
    + more versions
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    U.S. Geological Survey (2025). Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2022 [Dataset]. https://catalog.data.gov/dataset/nearshore-bathymetry-of-the-columbia-river-littoral-cell-washington-and-oregon-2022
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    Dataset updated
    Oct 1, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Columbia River, Oregon, Washington
    Description

    This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell and mouth of the Columbia River, Washington and Oregon, in 2022 (USGS Field Activity Number 2022-641-FA). Bathymetry data were collected using four personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of either an Odom Echotrac CV-100 or CEE Hydrosystems Ceescope single-beam echosounder and 200 kHz transducer with a 9-degree beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during the survey. Positioning of the survey vessels was determined at 5 to 10 Hz using either Trimble R9s or Trimble BD990 GNSS receivers. Output from the GNSS receivers and sonar systems were combined in real time on the PWC by a computer running HYPACK hydrographic survey software. Navigation information was displayed on a video monitor, allowing PWC operators to navigate along survey lines at speeds of 2 to 3 m/s. Survey-grade positions of the PWCs were achieved with a single-base station and differential post-processing. Positioning data from the GNSS receivers were post-processed using Waypoint Grafnav to apply differential corrections from a GNSS base station with known horizontal and vertical coordinates relative to the North American Datum of 1983. Orthometric elevations relative to the NAVD88 vertical datum were computed using National Geodetic Survey Geoid12a offsets. Bathymetric data were merged with post-processed positioning data and spurious soundings were removed using a custom Graphical User Interface (GUI) programmed with the computer program MATLAB. The average estimated vertical uncertainty of the bathymetric measurements is 10 cm. The final point data from the PWCs are provided in a comma-separated text file and are projected in cartesian coordinates using the Washington State Plane South, meters coordinate system.

  12. d

    Data from: Beach topography of the Columbia River littoral cell, Washington...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Oct 29, 2025
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    U.S. Geological Survey (2025). Beach topography of the Columbia River littoral cell, Washington and Oregon, 2019 [Dataset]. https://catalog.data.gov/dataset/beach-topography-of-the-columbia-river-littoral-cell-washington-and-oregon-2019
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    Dataset updated
    Oct 29, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Columbia River, Oregon, Washington
    Description

    This portion of the USGS data release presents topography data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon, in 2019 (USGS Field Activity Number 2019-632-FA). Topographic profiles were collected by walking along survey lines with global navigation satellite system (GNSS) receivers mounted on backpacks. Prior to data collection, vertical distances between the GNSS antennas and the ground were measured using a tape measure. Hand-held data collectors were used to log raw data and display navigational information allowing surveyors to navigate survey lines spaced at 100- to 1000-m intervals along the beach. Profiles were surveyed from the landward edge of the study area (either the base of a bluff, engineering structure, or just landward of the primary dune) over the beach foreshore, to wading depth on the same series of transects as nearshore bathymetric surveys that were conducted during the same time period. Additional topographic data were collected between survey lines in some areas with an all-terrain vehicle (ATV) equipped with a GNSS receiver to constrain the elevations and alongshore extent of major morphological features. Positioning data from the survey platforms were referenced to a GNSS base station with known horizontal and vertical coordinates relative to the North American Datum of 1983. Differential corrections from the GNSS base stations to the survey platforms were either applied in real-time with a VHF radio link, or post-processed using Trimble Business Center software. Orthometric elevations relative to the NAVD88 vertical datum were computed using National Geodetic Survey Geoid12a offsets. The average estimated vertical uncertainty of the topographic measurements is 4 cm. The final point data are provided in comma-separated text format and are projected in Cartesian coordinates using the Washington State Plane South, meters coordinate system.

  13. w

    Digital Elevation Model for Nisqually, Washington

    • data.wu.ac.at
    • datasets.ai
    • +1more
    Updated Dec 11, 2017
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    Department of the Interior (2017). Digital Elevation Model for Nisqually, Washington [Dataset]. https://data.wu.ac.at/schema/data_gov/MTI3NDJkNzMtMjk5ZC00NjQ2LWIwNWYtYWNmMWE5YjZjMDRl
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    access point for dataAvailable download formats
    Dataset updated
    Dec 11, 2017
    Dataset provided by
    Department of the Interior
    Area covered
    74670176a87086e9d38300af80fd586233b010f3
    Description

    To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the base station, we adjusted all elevation measurements using an OPUS correction (www.ngs.noaa.gov/OPUS). We used the WGS84 ellipsoid model for vertical and horizontal positioning and referenced positions to a local National Geodetic Survey (NGS) benchmark or a benchmark established by a surveyor (Figure 4). Average measured vertical errors at benchmarks were 1-9 cm throughout the study, comparable to the stated error of the GPS. To measure topographic variation at each site, we surveyed marsh surface elevation along transects perpendicular to the major tidal sediment source, with a survey point taken every 12.5 m; 50 m separated transect lines (Appendix Figs. A1 – I1). We used the Geoid09 model to calculate orthometric heights from ellipsoid measurements (m, NAVD88; North American Vertical Datum of 1988) and projected all points to NAD83 UTM zone 10 using Leica GeoOffice v7.0.1 (Leica Geosystems Inc, Norcross, GA).In ArcGIS 10.2.1 Spatial Analyst (ESRI 2013, Redlands, CA), we created a digital elevation model (DEM) for each site using each sites survey elevation data points. We processed the elevation point data with exponential ordinary kriging methods (5 x 5 m cell size) while adjusting model parameters to minimize the root-mean-square (RMS) error to create the best model fit for the DEM (Table 2). We used elevation models as the baseline conditions for subsequent analyses including tidal inundation patterns, SLR response modeling, and mapping of sites by specific elevation (flooding) zones.

  14. w

    Elevation Points for Grays Harbor, Washington

    • data.wu.ac.at
    Updated Dec 12, 2017
    + more versions
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    Department of the Interior (2017). Elevation Points for Grays Harbor, Washington [Dataset]. https://data.wu.ac.at/schema/data_gov/NjQ3OGRkMjUtYjI1YS00NzAxLTgzMjctMzJmZmRhZTViZjRh
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    access point for dataAvailable download formats
    Dataset updated
    Dec 12, 2017
    Dataset provided by
    Department of the Interior
    Area covered
    6615ce13d44f1b5b8ca3dc8eaa9eb28326f26c74
    Description

    To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the base station, we adjusted all elevation measurements using an OPUS correction (www.ngs.noaa.gov/OPUS). We used the WGS84 ellipsoid model for vertical and horizontal positioning and referenced positions to a local National Geodetic Survey (NGS) benchmark or a benchmark established by a surveyor (Figure 4). Average measured vertical errors at benchmarks were 1-9 cm throughout the study, comparable to the stated error of the GPS. To measure topographic variation at each site, we surveyed marsh surface elevation along transects perpendicular to the major tidal sediment source, with a survey point taken every 12.5 m; 50 m separated transect lines (Appendix Figs. A1 – I1). We used the Geoid09 model to calculate orthometric heights from ellipsoid measurements (m, NAVD88; North American Vertical Datum of 1988) and projected all points to NAD83 UTM zone 10 using Leica GeoOffice v7.0.1 (Leica Geosystems Inc, Norcross, GA).The feature class contains elevation surveys conducted at the CERCC Grays Harbor study site.

  15. Shoreline Data Rescue Project of Washington, PH4

    • fisheries.noaa.gov
    • datasets.ai
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Data Rescue Project of Washington, PH4 [Dataset]. https://www.fisheries.noaa.gov/inport/item/62536
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Jul 1, 1942
    Area covered
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Washington suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution sc...

  16. Shoreline Data Rescue Project of Tacoma Harbor, Washington, CM-7311

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Jan 1, 2020
    + more versions
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    National Geodetic Survey (2020). Shoreline Data Rescue Project of Tacoma Harbor, Washington, CM-7311 [Dataset]. https://www.fisheries.noaa.gov/inport/item/62055
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Jun 1, 1973
    Area covered
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Tacoma Harbor, Washington suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS...

  17. a

    Geodetic Control Points 2019

    • hub.arcgis.com
    • datasets.ai
    • +2more
    Updated Mar 28, 2016
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    City of Washington, DC (2016). Geodetic Control Points 2019 [Dataset]. https://hub.arcgis.com/maps/DCGIS::geodetic-control-points-2019
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    Dataset updated
    Mar 28, 2016
    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

    Geodetic Control. The dataset contains points representing planimetric geodetic control, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017 and 2019. The following planimetric layers were updated: - Airport Runway and Taxiway- Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Recreational Areas- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water Polygons

  18. GSWA Hyden Southern Cross elevation grid geodetic

    • researchdata.edu.au
    • dev.ecat.ga.gov.au
    • +1more
    Updated 2020
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    Geophysical Acquisition & Processing Section (2020). GSWA Hyden Southern Cross elevation grid geodetic [Dataset]. https://researchdata.edu.au/gswa-hyden-southern-grid-geodetic/1656636
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    Dataset updated
    2020
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    Geophysical Acquisition & Processing Section
    License

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

    Time period covered
    Sep 19, 2004 - Jan 21, 2005
    Area covered
    Description

    Digital Elevation data record the terrain height variations from the processed point- or line-located data recorded during a geophysical survey. This GSWA Hyden Southern Cross elevation grid geodetic is elevation data for the Southern Yilgarn (Hyden, Southern Cross), WA, 2004. This survey was acquired under the project No. 1066 for the geological survey of WA. The grid has a cell size of 0.00083 degrees (approximately 85m). This grid contains the ground elevation relative to the geoid for the Southern Yilgarn (Hyden, Southern Cross), WA, 2004. It represents the vertical distance from a location on the Earth's surface to the geoid. The data are given in units of meters. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.

  19. a

    Geodetic Control Points 2017

    • hub.arcgis.com
    • opendata.dc.gov
    • +2more
    Updated Feb 19, 2020
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    City of Washington, DC (2020). Geodetic Control Points 2017 [Dataset]. https://hub.arcgis.com/maps/DCGIS::geodetic-control-points-2017
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    Dataset updated
    Feb 19, 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

    Geodetic Control. The dataset contains points representing planimetric geodetic control, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Recreational Areas- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water Polygons

  20. Lake Johnston Complete Spherical Cap Bouguer 1VD geodetic

    • researchdata.edu.au
    Updated 2009
    + more versions
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    Geoscience Australia; Geological Survey of WA (2009). Lake Johnston Complete Spherical Cap Bouguer 1VD geodetic [Dataset]. http://doi.org/10.4225/25/5625C06B70ADC
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    Dataset updated
    2009
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    Geoscience Australia; Geological Survey of WA
    Area covered
    Description

    Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data are collected on geophysical surveys conducted by Commonwealth, State & NT Governments and the private sector.

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WSDOT Online Map Center (2025). WSDOT - Survey Monuments [Dataset]. https://geo.wa.gov/items/53675a65975b46299aaf211577b5dd26
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WSDOT - Survey Monuments

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Dataset updated
Oct 3, 2025
Dataset provided by
Washington State Department of Transportationhttps://wsdot.wa.gov/
Authors
WSDOT Online Map Center
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Description

The Geodetic Survey Section within WSDOT has installed and maintains a majority of the primary (Geodetic) survey control used by the Department of Transportation in its ongoing construction and road maintenance programs. As part of this process the Survey Section maintains a Survey-Monuments database. The GIS file is updated nightly and sourced from a SQL database. Updates to the SQL database are irregular but the GIS data will be as recent as the most current version of the SQL database. This data is provided for mapping purposes only. This data does not contain the complete range of attributes and information that are available for each station within the database. If you need the physical geodetic coordinates for a monument, please obtain it from the database.Note: if you need the coordinates for a station for survey work you should use the coordinates shown in the datasheet for the station NOT the coordinates contained in this layer for the feature.This service is maintained by the WSDOT GIS & Roadway Data Office. If you are having trouble viewing the service, please contact OnlineMapSupport@wsdot.wa.gov.

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