100+ datasets found
  1. United States Stateplane Zones - NAD83

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Dec 2, 2020
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    Environmental Systems Research Institute, Inc. (ESRI) (Point of Contact) (2020). United States Stateplane Zones - NAD83 [Dataset]. https://catalog.data.gov/dataset/united-states-stateplane-zones-nad83
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Area covered
    United States
    Description

    U.S. State Plane Zones (NAD 1983) represents the State Plane Coordinate System (SPCS) Zones for the 1983 North American Datum within United States.

  2. K

    US State Plane Zones (NAD83)

    • koordinates.com
    csv, dwg, geodatabase +6
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    US Department of Agriculture (USDA), US State Plane Zones (NAD83) [Dataset]. https://koordinates.com/layer/12258-us-state-plane-zones-nad83/
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    mapinfo mif, mapinfo tab, geopackage / sqlite, shapefile, dwg, geodatabase, pdf, kml, csvAvailable download formats
    Dataset authored and provided by
    US Department of Agriculture (USDA)
    Area covered
    Description

    This layer is a component of 2007_NAIP_COVERAGE_3.mxd.

  3. USA State Plane Zones NAD27

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Apr 21, 2014
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    Esri (2014). USA State Plane Zones NAD27 [Dataset]. https://hub.arcgis.com/maps/esri::usa-state-plane-zones-nad27
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    Dataset updated
    Apr 21, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    U.S. State Plane Zones (NAD 1927) represents the State Plane Coordinate System (SPCS) zones for the 1927 North American Datum in the United States. Several State Plane Coordinate System zones are not shown in this dataset, including Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam, and Louisiana's offshore zone. Esri created this dataset from several sources in 1997: Extracted state boundaries from ArcUSA™ 1:25M. Created state plane boundaries based on a graphic in the article, "A National Reference System and its Relationship to Mapping" by Alden P. Colvocoresses at the U.S. Geological Survey (USGS), and John P. Snyder's "An Album of Map Projections: A Working Manual" (1987: USGS Professional Paper 1395. U.S. Government Printing Office: Washington, D.C.).To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA State Plane Zones.

  4. n

    NY State Plane Coordinate System Zones

    • data.gis.ny.gov
    Updated Jan 4, 2024
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    ShareGIS NY (2024). NY State Plane Coordinate System Zones [Dataset]. https://data.gis.ny.gov/datasets/4de4d1aa1d2a4b00849cdacdd1a26d41
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    Dataset updated
    Jan 4, 2024
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Contains NY State Plane Coordinate System Zones. For use to see what State Plane Zone in New York of an area you are working in is.Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions

  5. DGS98-4 A 30-Second State Plane Coordinate Grid for New Jersey

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gisdata-njdep.opendata.arcgis.com
    Updated Apr 13, 2023
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    NJDEP Bureau of GIS (2023). DGS98-4 A 30-Second State Plane Coordinate Grid for New Jersey [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/aa394e1bf50f4876b3346bec30325c77
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    Dataset updated
    Apr 13, 2023
    Dataset provided by
    New Jersey Department of Environmental Protectionhttp://www.nj.gov/dep/
    Authors
    NJDEP Bureau of GIS
    Area covered
    New Jersey
    Description

    Figure 1, 1:2,000,000 scaledisplay of the 30-second gridFigure 2. 1:250,000-scale display of the 30-second grid.Figure 3. 1:80,000-scale display of one NJDEP quarter-quad image with the 30-second grid superimposed.Figure 4. 1:10,000 scale display of one 30-second tile with a NJDEP quarter-quad image superimposed.Figure 5. 1:4,000 scale display of a NJDEP quarter- quad image.

  6. K

    Illinois State Plane Zones (2007)

    • koordinates.com
    csv, dwg, geodatabase +6
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    State of Illinois, Illinois State Plane Zones (2007) [Dataset]. https://koordinates.com/layer/890-illinois-state-plane-zones-2007/
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    csv, pdf, mapinfo mif, kml, dwg, geodatabase, geopackage / sqlite, shapefile, mapinfo tabAvailable download formats
    Dataset authored and provided by
    State of Illinois
    License

    https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/

    Area covered
    Description

    State Plane Coordinate System zones in Illinois. ISGS, 2007.

    Source: http://clearinghouse.isgs.illinois.edu/data

  7. Beta SPCS2022 Statewide Zones Web Map

    • noaa.hub.arcgis.com
    Updated Jun 10, 2025
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    NOAA GeoPlatform (2025). Beta SPCS2022 Statewide Zones Web Map [Dataset]. https://noaa.hub.arcgis.com/maps/a287a8ac4f8c4789821ba7b9ec92d01c
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    Dataset updated
    Jun 10, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

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

    Area covered
    Description

    NOAA’s National Geodetic Survey (NGS) is in the process of modernizing the National Spatial Reference System (NSRS). As part of NSRS Modernization, the State Plane Coordinate System (SPCS) will be updated to SPCS2022. This Web Map displays the Statewide Zones layer from the SPCS2022 zone layers. This map is intended for NGS customers, stakeholders, partners, and other constituents to view and provide feedback on the SPCS2022 zones that are being planned for release. These zones are beta and should not be considered the final definitions. Web Map for the Beta SPCS2022 ExperienceData SourcesInformation about SPCS2022 can be found on the SPCS2022 Beta web pages.https://beta.ngs.noaa.gov/SPCS/Exact zone definitions can be viewed at the SPCS2022 Beta zone definition web page.https://beta.ngs.noaa.gov/SPCS/zone-definitions.shtmlPoint of ContactPlease email the NGS Information Center for any questions at ngs.infocenter@noaa.gov

  8. K

    Denver, Colorado Edge of Pavement Area (2014)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 15, 2019
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    City and County of Denver, Colorado (2019). Denver, Colorado Edge of Pavement Area (2014) [Dataset]. https://koordinates.com/layer/101907-denver-colorado-edge-of-pavement-area-2014/
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    mapinfo mif, geodatabase, shapefile, mapinfo tab, pdf, dwg, geopackage / sqlite, kml, csvAvailable download formats
    Dataset updated
    May 15, 2019
    Dataset authored and provided by
    City and County of Denver, Colorado
    Area covered
    Description

    This metadata describes the stereocompiled Edge of Pavement (EOP) polygons feature of DRCOG Denver Region Urbanized Project Area. The feature was compiled from the Denver Regional Aerial Photography Project (DRAPP) 2014 Aerial Imagery Acquisition and Production. This 1"=100' scale imagery is comprised of 4-band RGBIR color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with the Leica ADS40 and ADS80 digital sensors and processed with Leica XPro software. Imagery is projected in State Plane Coordinate System, Colorado central zone using the Lambert Conformal Conic map projection parameters. Horizontal and vertical datums are NAD83(11) and NAVD88(GEOID12A) respectively.

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    Lunar Grid Reference System Rasters and Shapefiles

    • catalog.data.gov
    • data.usgs.gov
    Updated Oct 12, 2024
    + more versions
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    U.S. Geological Survey (2024). Lunar Grid Reference System Rasters and Shapefiles [Dataset]. https://catalog.data.gov/dataset/lunar-grid-reference-system-rasters-and-shapefiles
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    Dataset updated
    Oct 12, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    USGS is assessing the feasibility of map projections and grid systems for lunar surface operations. We propose developing a new Lunar Transverse Mercator (LTM), the Lunar Polar Stereographic (LPS), and the Lunar Grid Reference Systems (LGRS). We have also designed additional grids designed to NASA requirements for astronaut navigation, referred to as LGRS in Artemis Condensed Coordinates (ACC), but this is not released here. LTM, LPS, and LGRS are similar in design and use to the Universal Transverse Mercator (UTM), Universal Polar Stereographic (LPS), and Military Grid Reference System (MGRS), but adhere to NASA requirements. LGRS ACC format is similar in design and structure to historic Army Mapping Service Apollo orthotopophoto charts for navigation. The Lunar Transverse Mercator (LTM) projection system is a globalized set of lunar map projections that divides the Moon into zones to provide a uniform coordinate system for accurate spatial representation. It uses a transverse Mercator projection, which maps the Moon into 45 transverse Mercator strips, each 8°, longitude, wide. These transverse Mercator strips are subdivided at the lunar equator for a total of 90 zones. Forty-five in the northern hemisphere and forty-five in the south. LTM specifies a topocentric, rectangular, coordinate system (easting and northing coordinates) for spatial referencing. This projection is commonly used in GIS and surveying for its ability to represent large areas with high positional accuracy while maintaining consistent scale. The Lunar Polar Stereographic (LPS) projection system contains projection specifications for the Moon’s polar regions. It uses a polar stereographic projection, which maps the polar regions onto an azimuthal plane. The LPS system contains 2 zones, each zone is located at the northern and southern poles and is referred to as the LPS northern or LPS southern zone. LPS, like is equatorial counterpart LTM, specifies a topocentric, rectangular, coordinate system (easting and northing coordinates) for spatial referencing. This projection is commonly used in GIS and surveying for its ability to represent large polar areas with high positional accuracy, while maintaining consistent scale across the map region. LGRS is a globalized grid system for lunar navigation supported by the LTM and LPS projections. LGRS provides an alphanumeric grid coordinate structure for both the LTM and LPS systems. This labeling structure is utilized in a similar manner to MGRS. LGRS defines a global area grid based on latitude and longitude and a 25×25 km grid based on LTM and LPS coordinate values. Two implementations of LGRS are used as polar areas require a LPS projection and equatorial areas a transverse Mercator. We describe the difference in the techniques and methods report associated with this data release. Request McClernan et. al. (in-press) for more information. ACC is a method of simplifying LGRS coordinates and is similar in use to the Army Mapping Service Apollo orthotopophoto charts for navigation. These data will be released at a later date. Two versions of the shape files are provided in this data release, PCRS and Display only. See LTM_LPS_LGRS_Shapefiles.zip file. PCRS are limited to a single zone and are projected in either LTM or LPS with topocentric coordinates formatted in Eastings and Northings. Display only shapefiles are formatted in lunar planetocentric latitude and longitude, a Mercator or Equirectangular projection is best for these grids. A description of each grid is provided below: Equatorial (Display Only) Grids: Lunar Transverse Mercator (LTM) Grids: LTM zone borders for each LTM zone Merged LTM zone borders Lunar Polar Stereographic (LPS) Grids: North LPS zone border South LPS zone border Lunar Grid Reference System (LGRS) Grids: Global Areas for North and South LPS zones Merged Global Areas (8°×8° and 8°×10° extended area) for all LTM zones Merged 25km grid for all LTM zones PCRS Shapefiles:` Lunar Transverse Mercator (LTM) Grids: LTM zone borders for each LTM zone Lunar Polar Stereographic (LPS) Grids: North LPS zone border South LPS zone border Lunar Grid Reference System (LGRS) Grids: Global Areas for North and South LPS zones 25km Gird for North and South LPS zones Global Areas (8°×8° and 8°×10° extended area) for each LTM zone 25km grid for each LTM zone The rasters in this data release detail the linear distortions associated with the LTM and LPS system projections. For these products, we utilize the same definitions of distortion as the U.S. State Plane Coordinate System. Scale Factor, k - The scale factor is a ratio that communicates the difference in distances when measured on a map and the distance reported on the reference surface. Symbolically this is the ratio between the maps grid distance and distance on the lunar reference sphere. This value can be precisely calculated and is provided in their defining publication. See Snyder (1987) for derivation of the LPS scale factor. This scale factor is unitless and typically increases from the central scale factor k_0, a projection-defining parameter. For each LPS projection. Request McClernan et. al., (in-press) for more information. Scale Error, (k-1) - Scale-Error, is simply the scale factor differenced from 1. Is a unitless positive or negative value from 0 that is used to express the scale factor’s impact on position values on a map. Distance on the reference surface are expended when (k-1) is positive and contracted when (k-1) is negative. Height Factor, h_F - The Height Factor is used to correct for the difference in distance caused between the lunar surface curvature expressed at different elevations. It is expressed as a ratio between the radius of the lunar reference sphere and elevations measured from the center of the reference sphere. For this work, we utilized a radial distance of 1,737,400 m as recommended by the IAU working group of Rotational Elements (Archinal et. al., 2008). For this calculation, height factor values were derived from a LOLA DEM 118 m v1, Digital Elevation Model (LOLA Science Team, 2021). Combined Factor, C_F – The combined factor is utilized to “Scale-To-Ground” and is used to adjust the distance expressed on the map surface and convert to the position on the actual ground surface. This value is the product of the map scale factor and the height factor, ensuring the positioning measurements can be correctly placed on a map and on the ground. The combined factor is similar to linear distortion in that it is evaluated at the ground, but, as discussed in the next section, differs numerically. Often C_F is scrutinized for map projection optimization. Linear distortion, δ - In keeping with the design definitions of SPCS2022 (Dennis 2023), we refer to scale error when discussing the lunar reference sphere and linear distortion, δ, when discussing the topographic surface. Linear distortion is calculated using C_F simply by subtracting 1. Distances are expended on the topographic surface when δ is positive and compressed when δ is negative. The relevant files associated with the expressed LTM distortion are as follows. The scale factor for the 90 LTM projections: LUNAR_LTM_GLOBAL_PLOT_HEMISPHERES_distortion_K_grid_scale_factor.tif Height Factor for the LTM portion of the Moon: LUNAR_LTM_GLOBAL_PLOT_HEMISPHERES_distortion_EF_elevation_factor.tif Combined Factor in LTM portion of the Moon LUNAR_LTM_GLOBAL_PLOT_HEMISPHERES_distortion_CF_combined_factor.tif The relevant files associated with the expressed LPS distortion are as follows. Lunar North Pole The scale factor for the northern LPS zone: LUNAR_LGRS_NP_PLOT_LPS_K_grid_scale_factor.tif Height Factor for the north pole of the Moon: LUNAR_LGRS_NP_PLOT_LPS_EF_elevation_factor.tif Combined Factor for northern LPS zone: LUNAR_LGRS_NP_PLOT_LPS_CF_combined_factor.tif Lunar South Pole Scale factor for the northern LPS zone: LUNAR_LGRS_SP_PLOT_LPS_K_grid_scale_factor.tif Height Factor for the south pole of the Moon: LUNAR_LGRS_SP_PLOT_LPS_EF_elevation_factor.tif Combined Factor for northern LPS zone: LUNAR_LGRS_SP_PLOT_LPS_CF_combined_factor.tif For GIS utilization of grid shapefiles projected in Lunar Latitude and Longitude, referred to as “Display Only”, please utilize a registered lunar geographic coordinate system (GCS) such as IAU_2015:30100 or ESRI:104903. LTM, LPS, and LGRS PCRS shapefiles utilize either a custom transverse Mercator or polar Stereographic projection. For PCRS grids the LTM and LPS projections are recommended for all LTM, LPS, and LGRS grid sizes. See McClernan et. al. (in-press) for such projections. Raster data was calculated using planetocentric latitude and longitude. A LTM and LPS projection or a registered lunar GCS may be utilized to display this data. Note: All data, shapefiles and rasters, require a specific projection and datum. The projection is recommended as LTM and LPS or, when needed, IAU_2015:30100 or ESRI:104903. The datum utilized must be the Jet Propulsion Laboratory (JPL) Development Ephemeris (DE) 421 in the Mean Earth (ME) Principal Axis Orientation as recommended by the International Astronomy Union (IAU) (Archinal et. al., 2008).

  10. O

    2023 Connecticut Contours

    • data.ct.gov
    • geodata.ct.gov
    • +2more
    application/rdfxml +5
    Updated Jun 26, 2025
    + more versions
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    (2025). 2023 Connecticut Contours [Dataset]. https://data.ct.gov/dataset/2023-Connecticut-Contours/ua23-mtec/data?pane=feed
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    csv, application/rdfxml, json, tsv, application/rssxml, xmlAvailable download formats
    Dataset updated
    Jun 26, 2025
    Area covered
    Connecticut
    Description

    Source:

    1 foot contours were generated for each production block from the final bare earth DEMs using ArcGIS software. Using ArcGIS software, the contours were validated for correct topology, including must not intersect, must not self intersect, and must not have dangles. Contours are then manually reviewed with the 3D breaklines to ensure complete coverage, correct coding, data integrity and that contours behave correctly around water bodies, water crossings, and elevated features such as overpasses. The contours are then clipped to individual tiles as creating one dataset for the entire project renders the feature class un-usable. Enclosed contours completely within building footprints were removed from the final contour dataset.

    Coordinate System:

    The data was developed based on a horizontal datum/projection of NAD83 (2011), State Plane Connecticut, U.S. Survey Feet and vertical datum of NAVD88 (GEOID18)

    Development:

    This vector tile package contains contour lines originally derived in the State Plane coordinate system. Prior to generating the tile service, individual contour blocks were merged into a single, seamless data layer to ensure consistency and completeness across the project area. This unified dataset served as the basis for creating the vector tile package. During the creation of the vector tile index, Web Mercator was used as the tiling reference to enable proper indexing and tile generation within ArcGIS Online. Please note that while the vector tile index references Web Mercator for mapping and display purposes, the contour line geometries are aligned with the original State Plane coordinate system, maintaining consistency with the source data used in production. This vector tile package contains contour lines originally derived in the State Plane coordinate system. Prior to generating the tile service, individual contour blocks were merged into a single, seamless data layer to ensure consistency and completeness across the project area. This unified dataset served as the basis for creating the vector tile package. During the creation of the vector tile index, Web Mercator was used as the tiling reference to enable proper indexing and tile generation within ArcGIS Online. Please note that while the vector tile index references Web Mercator for mapping and display purposes, but the contour lines were originally in the State Plane coordinate system

    Use Constraints:

    There are no formal use restrictions. However, users should be aware the conditions may have changed since the data was originally collected, and some areas may no longer accurately reflect current surface features. This data should not be used for critical decision-making without a full understanding of their limitations.

  11. d

    ARCHIVED: Parking Citations

    • catalog.data.gov
    • data.lacity.org
    Updated Jan 5, 2024
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    data.lacity.org (2024). ARCHIVED: Parking Citations [Dataset]. https://catalog.data.gov/dataset/parking-citations-0e4fd
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    Dataset updated
    Jan 5, 2024
    Dataset provided by
    data.lacity.org
    Description

    New Parking Citations dataset here: https://data.lacity.org/Transportation/Parking-Citations/4f5p-udkv/about_data ---Archived as of September 2023--- Parking citations with latitude / longitude (XY) in US Feet coordinates according to the California State Plane Coordinate System - Zone 5 (https://www.conservation.ca.gov/cgs/rgm/state-plane-coordinate-system). For more information on Geographic vs Projected coordinate systems, read here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/gcs_vs_pcs/ For information on how to change map projections, read here: https://learn.arcgis.com/en/projects/make-a-web-map-without-web-mercator/

  12. d

    2020 Lake County Aerial - SE Corner

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Mar 3, 2023
    + more versions
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    Lake County Illinois GIS (2023). 2020 Lake County Aerial - SE Corner [Dataset]. https://catalog.data.gov/dataset/2020-lake-county-aerial-se-corner-5bce2
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    Dataset updated
    Mar 3, 2023
    Dataset provided by
    Lake County Illinois GIS
    Description

    This three inch pixel resolution color aerial photography was flown between March 8 and March 17, 2020. The files are provided in TIF format which is supported by most GIS and CAD software packages. Its intended usage for viewing is 1" = 100'. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone. The data set is tiled for dissemination into separate tiles, each of which is 5280 feet (1 mile) on a side.This imagery is provided on an as-is basis, with no guarantees of accuracy or suitability for any particular purpose. Lake County, Illinois, assumes no responsibility for conclusions or decisions reached on the basis of this data.This dataset is projected using the Transverse Mercator map projection. The grid coordinate system used is the Illinois State Plane Coordinate System, East Zone (Zone Number Zone 3776, FIPS 1201), with ground coordinates expressed in U.S. Survey Feet.

  13. d

    Water Wells - 2003 - OSE

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Dec 2, 2020
    + more versions
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    (Point of Contact) (2020). Water Wells - 2003 - OSE [Dataset]. https://catalog.data.gov/dataset/water-wells-2003-ose
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    (Point of Contact)
    Description

    The exported ESRI point shapefile 'allwells' was made using Arc Map 8.2 on a Win2000 pc The points were created from a download of the informix data base in June, 2002. Source of the location of the points varies. All State Plane Coordinates were entered by the applicant as the location of his well, usually from looking at a 1:24k USGS topographical map. A UTM coordinate is calculated to the center of the third quarter, or the smallest quarter of a section of land within the Public Land Survey System (PLSS). These quarters were also identified by the applicant as the location of the well. If no quarter was given, the UTM coordinate is calculated to the center of the section. The Bureau of Land Management's GCDB *.lx files were used to plot the wells in the database that are entered by section, quarter, quarter, quarter description. Points that were originally located in the State Plane Coordinate system were projected using ArcInfo to UTM Zone 13, NAD83. The final data set is projected in UTM Zone 13, NAD83. Attributes found with this coverage are downloaded from the OSE WATERS database with the exception of X-coord, y-coord which were calculated. Accuracy of well informatioin will be greatly enhanced when the entire state has been abstracted.

  14. d

    TERRAIN, ERIE COUNTY, OHIO, USA

    • catalog.data.gov
    Updated Apr 2, 2021
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    State of Ohio, through the Office of Information Technology, Investment and Governance Division, for the Office of Information Technology, Services Delivery Division and the Ohio Geographically Referenced Information Program (OGRIP) (Point of Contact) (2021). TERRAIN, ERIE COUNTY, OHIO, USA [Dataset]. https://catalog.data.gov/ro/dataset/terrain-erie-county-ohio-usa1
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    Dataset updated
    Apr 2, 2021
    Dataset provided by
    State of Ohio, through the Office of Information Technology, Investment and Governance Division, for the Office of Information Technology, Services Delivery Division and the Ohio Geographically Referenced Information Program (OGRIP) (Point of Contact)
    Area covered
    United States, Erie County, Ohio
    Description

    The 2006 OSIP bare-earth Digital Elevation Model (DEM) was derived from digital LiDAR data was collected during the months of March and May (leaf-off conditions). The DEM data covers the entire land area of the northern tier of Ohio (approximately 23,442 square miles. The DEM is delivered in county sets, consisting of 5,000' x 5,000' size tiles that correspond to the tile sizes for the OSIP 1FT imagery products. Where the State borders other states (land only), the entire border of the State is buffered by at least 1,000-feet. Along the Lake Erie Shoreline ortho coverage is buffered beyond the shoreline a minimum distance of 2,500-feet. The file naming convention is as follows: Nxxxxyyy = 5,000' x 5,000' Tiles located in the Ohio State Plane Coordinate System (North Zone). Sxxxxyyy = 5,000' x 5,000' Tiles located in the Ohio State Plane Coordinate System (South Zone). Please note that xxxx and yyy represent the easting and northing coordinates (respectively) in state plane feet, The naming convention for each tile is based upon (the bottom most-left pixel). The full county mosaic is an aggregation of the tiles by county. The mosaic is devloped in the Ohio State Plane Coordinate System (North Zone).. The DEM tiles were provided in ESRI ArcINFO GRID raster and ASCII grid formats, with only the LiDAR in LAS Format containing the above ground and bare-earth LiDAR features. Ownership of the data products resides with the State of Ohio. Orthophotography and ancillary data products produced through this contract are public domain data. The LiDAR used to generate the DEM was acquired Statewide to provide a solid and very accurate base to use during the image rectification process. This same LiDAR can be supplemented with 3D breaklines to generate 2-foot and/or 4/5-foot contours. The average post spacing between LiDAR points is 7-feet. The flying altitude was 7,300-feet AMT, with the targeted flying speed at 170 knots.

  15. w

    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 - Orange County [Dataset]. https://data.wu.ac.at/schema/data_gov/NDFhNjk1NDQtOTYzOC00ZDQ2LWIzNGQtNzE0NDVkZDA0OTFi
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    183e793f98f77e8f5ca8ee4fea1dce657a9275db
    Description

    This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser and subsequently reformatted to the FL Department of Revenue specifications. This 1"=100'scale imagery is comprised of natural color orthoimagery with a GSD (Ground Sample Distance) of 0.5. Imagery was collected with the Leica ADS40 digital sensor and processed with Leica GPro software. Imagery is projected in State Plane Coordinate System, Florida East using the Transverse Mercator map projection parameters.

  16. n

    Shoreline Change Map Data for Tidewater Maryland

    • access.earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    html
    Updated Apr 24, 2017
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    (2017). Shoreline Change Map Data for Tidewater Maryland [Dataset]. https://access.earthdata.nasa.gov/collections/C1214621615-SCIOPS
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    htmlAvailable download formats
    Dataset updated
    Apr 24, 2017
    Time period covered
    Jan 1, 1988 - Dec 31, 1995
    Area covered
    Description

    For the coastal regions of Maryland, the Maryland Geological Survey (MGS) has periodically compiled maps depicting shoreline position at several points in time. The most recent compilation -- the first electronic one -- involved (1) digitizing historical (1841-1977) shoreline maps, all derived directly or indirectly from National Oceanic and Atmospheric Administration coastal survey maps (topographic or T-sheets), and (2) interpreting recent (1988-1995) shorelines from digital orthophotography. MGS is using the shorelines to update a series of Shoreline Changes maps and to determine coastal land loss, by watershed and by county, during the last half of the 20th century.

    This data set contains past shorelines, dating from 1841 to 1995, for 125 7.5-minute quadrangles covering the coastal regions of Maryland (see below). Originally in MicroImage's TNTmips .rvc format, the shoreline vectors have been converted to Arc/Info "Export" (.e00) format. They are registered to the Maryland State Plane Coordinate System (North American Datum of 83, meters).

    Spatial Reference Information:

    -Map Projection Name: Lambert Conformal Conic
    -Grid Coordinate System Name: State Plane Coordinate System 1983
    -SPCS Zone Identifier: 1900 (Maryland)
    -Planar Distance Units: meters
    -Horizontal Datum Name: North American Datum of 1983
    -Ellipsoid Name: Geodetic Reference System 80
    -Semi-major Axis: 6,378,137 meters
    -Denominator of Flattening Ratio: 298.257
    -Depth Datum Name: The aerial photography from which the DOQQs were
     developed was not tide-coordinated. Therefore, shorelines in this data
     set does not represent a consistent vertical datum.
    

    Shoreline Attributes:

    -beach
    -vegetated
    -structure
    -water edge
    

    All four categories are linear features, except "beach" which, if sufficiently wide, can be both linear and polygonal. Shorelines were merged into 7.5-minute quadrangles, provided that the aerial photography on which the DOQQs were based was flown in the same year

    [Summary provided by the Maryland Geology Survey.]

  17. k

    USNG 100m

    • hub.kansasgis.org
    • prep-response-portal.napsgfoundation.org
    • +6more
    Updated Aug 27, 2021
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    Kansas State Government GIS (2021). USNG 100m [Dataset]. https://hub.kansasgis.org/datasets/usng-100m
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    Dataset updated
    Aug 27, 2021
    Dataset authored and provided by
    Kansas State Government GIS
    Area covered
    Description

    USNG is standard that established a nationally consistent grid reference system. It provides a seamless plane coordinate system across jurisdictional boundaries and map scales; it enables precise position referencing with GPS, web map portals, and hardcopy maps. USNG enables a practical system of geo-addresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America. This layer shows 100-meter grid squares.

  18. Hubbard Brook Experimental Forest 10ft contours: GIS Shapefile

    • search.dataone.org
    • dataone.org
    • +1more
    Updated Jan 17, 2022
    + more versions
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    USDA Forest Service, Northern Research Station (2022). Hubbard Brook Experimental Forest 10ft contours: GIS Shapefile [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-hbr%2F92%2F3
    Explore at:
    Dataset updated
    Jan 17, 2022
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    USDA Forest Service, Northern Research Station
    Time period covered
    May 1, 1956
    Area covered
    Description

    Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The contour lines were manually digitized from the map. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N

  19. c

    Data from: Planning Areas

    • opendata.slocounty.ca.gov
    • gis2017-02-24t164003926z-slocounty.opendata.arcgis.com
    Updated Dec 4, 2015
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    County of San Luis Obispo (2015). Planning Areas [Dataset]. https://opendata.slocounty.ca.gov/datasets/d9a1be625a7a46f3aea3c3f6d8a0af32
    Explore at:
    Dataset updated
    Dec 4, 2015
    Dataset authored and provided by
    County of San Luis Obispo
    License

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

    Area covered
    Description

    Official Planning Area Boundaries of San Luis Obispo County. For land use policies and resource management. This data provides suitable land use information for many mapping applications. This data is appropriate for use at a regional scale and is intended as a reference. The Coordinates for this dataset are State Plane Coordinate System, Zone 5, NAD 1983 Feet.

  20. d

    VT NAD83 USGS Quadrangle Boundaries - polygons.

    • datadiscoverystudio.org
    • geodata.vermont.gov
    • +7more
    csv, geojson, kml +1
    Updated Jun 7, 2018
    + more versions
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    (2018). VT NAD83 USGS Quadrangle Boundaries - polygons. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/20d1d5453b1241c8befd9700f819062e/html
    Explore at:
    kml, csv, zip, geojsonAvailable download formats
    Dataset updated
    Jun 7, 2018
    Description

    description: (Link to Metadata) Generated from exact latitude-longitude coordinates and projected from Geographic coordinates (Lat/Long) NAD83 into State Plane Meters NAD83. The Arc/Info GENERATE command was used with the following parameters; generate BoundaryTile_QUAD83 fishnet no labels -73.500,42.625 -73.500,42.725 0.125,0.125 20,17 The Arc/Info project command was then used to re-project from Geographic (DD)NAD83 into Vermont State Plane Meters (NAD83). Extraneous polygons where removed. Polygon label points where transfered from the QUAD coverage into the new coverage, resulting in duplicate attribute items. The tics in this data layer should only be used for digitizing if your source data is in NAD83! Use BoundaryTile_QUAD27 if your source data is in NAD27. In both cases you should re-project this coverage into UTM before digitizing. When you've completed your digitizing work re-project the data back into Vermont State Plane Meters NAD83.; abstract: (Link to Metadata) Generated from exact latitude-longitude coordinates and projected from Geographic coordinates (Lat/Long) NAD83 into State Plane Meters NAD83. The Arc/Info GENERATE command was used with the following parameters; generate BoundaryTile_QUAD83 fishnet no labels -73.500,42.625 -73.500,42.725 0.125,0.125 20,17 The Arc/Info project command was then used to re-project from Geographic (DD)NAD83 into Vermont State Plane Meters (NAD83). Extraneous polygons where removed. Polygon label points where transfered from the QUAD coverage into the new coverage, resulting in duplicate attribute items. The tics in this data layer should only be used for digitizing if your source data is in NAD83! Use BoundaryTile_QUAD27 if your source data is in NAD27. In both cases you should re-project this coverage into UTM before digitizing. When you've completed your digitizing work re-project the data back into Vermont State Plane Meters NAD83.

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Environmental Systems Research Institute, Inc. (ESRI) (Point of Contact) (2020). United States Stateplane Zones - NAD83 [Dataset]. https://catalog.data.gov/dataset/united-states-stateplane-zones-nad83
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United States Stateplane Zones - NAD83

Explore at:
Dataset updated
Dec 2, 2020
Dataset provided by
Esrihttp://esri.com/
Area covered
United States
Description

U.S. State Plane Zones (NAD 1983) represents the State Plane Coordinate System (SPCS) Zones for the 1983 North American Datum within United States.

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