100+ datasets found
  1. N

    1 foot Digital Elevation Model (DEM)

    • data.cityofnewyork.us
    • cloud.csiss.gmu.edu
    • +4more
    application/rdfxml +5
    Updated Aug 9, 2013
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    Office of Technology and Innovation (OTI) (2013). 1 foot Digital Elevation Model (DEM) [Dataset]. https://data.cityofnewyork.us/City-Government/1-foot-Digital-Elevation-Model-DEM-/dpc8-z3jc
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    tsv, csv, xml, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Aug 9, 2013
    Dataset authored and provided by
    Office of Technology and Innovation (OTI)
    Description

    NYC 1foot Digital Elevation Model: A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

    Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_DigitalElevationModel.md

  2. n

    NYS Contour Download App

    • data.gis.ny.gov
    Updated Jan 3, 2023
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    ShareGIS NY (2023). NYS Contour Download App [Dataset]. https://data.gis.ny.gov/datasets/nys-contour-download-app
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    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    New York
    Description

    Downloadable contour zips by county/municipality. Click on the area you want to download, and use the pop-up window click to download contour data. The DOWNLOAD (DIRECT_DL) field contains this url to download the associated zip file that contains a GDB and layer file More information for existing Contour data can be found at https://gis.ny.gov/nys-contours. Last updated 4/29/2025.Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions.

  3. a

    New York City 1836-Copy

    • umn.hub.arcgis.com
    Updated Nov 4, 2020
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    University of Minnesota (2020). New York City 1836-Copy [Dataset]. https://umn.hub.arcgis.com/maps/8bfd25b693964d069be689974a78f4da
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    Dataset updated
    Nov 4, 2020
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This map features a topographical map of the City and County of New York, and the adjacent Country from 1836. The map is overlayed on a contemporary topographic map of New York City and the surrounding area for comparison purposes.More information on this map …

  4. K

    Suffolk County, New York Contours - 10 Foot

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 19, 2018
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    Suffolk County, New York (2018). Suffolk County, New York Contours - 10 Foot [Dataset]. https://koordinates.com/layer/98512-suffolk-county-new-york-contours-10-foot/
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    mapinfo mif, geopackage / sqlite, mapinfo tab, kml, pdf, csv, dwg, shapefile, geodatabaseAvailable download formats
    Dataset updated
    Oct 19, 2018
    Dataset authored and provided by
    Suffolk County, New York
    Area covered
    Description

    Geospatial data about Suffolk County, New York Contours - 10 Foot. Export to CAD, GIS, PDF, CSV and access via API.

  5. N

    Topographical Bureau Maps

    • data.cityofnewyork.us
    • nycopendata.socrata.com
    • +2more
    application/rdfxml +5
    Updated Oct 21, 2014
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    Manhattan Borough President (MBP) (2014). Topographical Bureau Maps [Dataset]. https://data.cityofnewyork.us/City-Government/Topographical-Bureau-Maps/5jat-czce
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    json, xml, application/rdfxml, csv, application/rssxml, tsvAvailable download formats
    Dataset updated
    Oct 21, 2014
    Dataset authored and provided by
    Manhattan Borough President (MBP)
    Description

    This list contains information on maps maintained by the topographical bureau

  6. a

    New York City 1836

    • hub.arcgis.com
    Updated Oct 6, 2011
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    David Rumsey Map Collection (2011). New York City 1836 [Dataset]. https://hub.arcgis.com/maps/0fcf0bd879b84a01bd596aee72111e49
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    Dataset updated
    Oct 6, 2011
    Dataset authored and provided by
    David Rumsey Map Collection
    Area covered
    Description

    This map features a topographical map of the City and County of New York, and the adjacent Country from 1836.

  7. n

    NYS Historic LiDAR Collections

    • data.gis.ny.gov
    Updated Jun 12, 2023
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    ShareGIS NY (2023). NYS Historic LiDAR Collections [Dataset]. https://data.gis.ny.gov/maps/nys-historic-lidar-collections/about
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    Dataset updated
    Jun 12, 2023
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Historic LIDAR Projects within New York State. New York State has access to and distributes many of the older LIDAR collections within New York State. These historic projects have been fully replaced with more recent LIDAR projects. More information for existing LIDAR collections can be found at https://gis.ny.gov/lidar. Last updated 8/2/24.Feature and map services available:https://elevation.its.ny.gov/arcgis/rest/services/indexes/Historic_LiDAR_Collections/FeatureServerhttps://elevation.its.ny.gov/arcgis/rest/services/indexes/Historic_LiDAR_Collections/MapServerFor Latest Collections, see:https://elevation.its.ny.gov/arcgis/rest/services/indexes/Latest_LiDAR_Collections/FeatureServerhttps://elevation.its.ny.gov/arcgis/rest/services/indexes/Latest_LiDAR_Collections/MapServerPlease contact nysgis@its.ny.gov if you have any questions.

  8. USA Topo Maps

    • data.openlaredo.com
    • data.baltimorecity.gov
    • +9more
    html
    Updated Apr 11, 2025
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    GIS Portal (2025). USA Topo Maps [Dataset]. https://data.openlaredo.com/dataset/usa-topo-maps
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    htmlAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    GIS Portal
    Area covered
    United States
    Description

    Important Note: This item is in mature support as of June 2021 and is no longer updated.

    This map presents land cover and detailed topographic maps for the United States. It uses the USA Topographic Map service. The map includes the National Park Service (NPS) Natural Earth physical map at 1.24km per pixel for the world at small scales, i-cubed eTOPO 1:250,000-scale maps for the contiguous United States at medium scales, and National Geographic TOPO! 1:100,000 and 1:24,000-scale maps (1:250,000 and 1:63,000 in Alaska) for the United States at large scales. The TOPO! maps are seamless, scanned images of United States Geological Survey (USGS) paper topographic maps.

    The maps provide a very useful basemap for a variety of applications, particularly in rural areas where the topographic maps provide unique detail and features from other basemaps.

    To add this map service into a desktop application directly, go to the entry for the USA Topo Maps map service.

    Tip: Here are some famous locations as they appear in this web map, accessed by including their location in the URL that launches the map:

    Grand Canyon, Arizona

    Golden Gate, California

    The Statue of Liberty, New York

    Washington DC

    Canyon De Chelly, Arizona

    Yellowstone National Park, Wyoming

    Area 51, Nevada

  9. d

    Geospatial data for bedrock elevation and overburden thickness maps of the...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Geospatial data for bedrock elevation and overburden thickness maps of the Five Boroughs, New York City, New York [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-bedrock-elevation-and-overburden-thickness-maps-of-the-five-boroughs-n
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    New York
    Description

    Using a combination of public and proprietary historical construction test borings, recent exploration drilling, USGS observation wells, outcrops, and seismic measurements, a series of geospatial overlays for bedrock elevation and overburden thickness were created for the Five Boroughs of New York City, New York. Rasters were interpolated from a point elevation data set and refined using published and interpretive bedrock contours, and interpreted glacial valleys and faults. Contours for bedrock elevation were generated at 100-ft contour intervals and smoothed. This data release includes shapefiles containing the input point elevation features and output contours, and rasters of interpolated bedrock elevation and overburden thickness surfaces.

  10. N

    Topobathymetric LiDAR Data (2017)

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Dec 12, 2018
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    Office of Technology and Innovation (OTI) (2018). Topobathymetric LiDAR Data (2017) [Dataset]. https://data.cityofnewyork.us/City-Government/Topobathymetric-LiDAR-Data-2017-/7sc8-jtbz
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    json, application/rssxml, tsv, application/rdfxml, csv, xmlAvailable download formats
    Dataset updated
    Dec 12, 2018
    Dataset authored and provided by
    Office of Technology and Innovation (OTI)
    Description

    Note: The files can be downloaded from the Attachments section below. Please note that the total size is 180GB, so the download may take some time depending on your system’s capabilities and configuration.

    Topographic and bathymetric LiDAR data was collected for New York City in 2017. Topographic data was collected for the entire city, plus an additional 100 meter buffer, using a Leica ALS80 sensor equipped to capture at least 8 pulse/m2. Dates of capture for topographic data were between 05/03/2017 and 05/17/2017 during 50% leaf-off conditions. Bathymetric data was collected in select areas of the city (where bathymetric data capture was expected) using a Riegl VQ-880-G sensor equipped to capture approximately 15 pulses/m2 (1.5 Secchi depths). Dates of capture for bathymetric were between 07/04/2017 - 07/26/2017. LiDAR data was tidally-coordinated and captured between mean lower low water (+30% of mean tide) ranges.

    The horizontal datum for all datasets is NAD83, the vertical datum is NAVD88, Geoid 12B, and the data is projected in New York State Plane - Long Island. Units are in US Survey Feet. To learn more about these datasets, visit the interactive “Understanding the 2017 New York City LiDAR Capture” Story Map -- https://maps.nyc.gov/lidar/2017/ Please see the following link for additional documentation on this dataset -- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_LiDAR_Summary.md

  11. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Feb 15, 2018
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d0aadb10da1b41c298012bb1f3b80fb3/html
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 15, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  12. 2005 US Army Corps of Engineers (USACE) National Coastal Mapping Program...

    • fisheries.noaa.gov
    • datadiscoverystudio.org
    geotiff
    Updated Nov 14, 2006
    + more versions
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    OCM Partners (2006). 2005 US Army Corps of Engineers (USACE) National Coastal Mapping Program Topo/Bathy Lidar: Delaware, Maryland, New Jersey, New York, North Carolina and Virginia [Dataset]. https://www.fisheries.noaa.gov/inport/item/50053
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    geotiffAvailable download formats
    Dataset updated
    Nov 14, 2006
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Aug 24, 2005 - Nov 26, 2005
    Area covered
    Description

    The data contained in these files are hydrographic and topographic data collected by the SHOALS-1000T system along the Delaware, Maryland, New Jersey, New York, North Carolina and Virginia coastline as part of the National Coastal Mapping Program. The lidar data for DE, MD, NJ and VA was collected from 20050824-20050908. The lidar data for NY and NC was collected from 20051001-20051126.

    Origin...

  13. a

    HIST 3020 - NYC 1836 - Map tour

    • umn.hub.arcgis.com
    Updated Nov 30, 2020
    + more versions
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    University of Minnesota (2020). HIST 3020 - NYC 1836 - Map tour [Dataset]. https://umn.hub.arcgis.com/maps/b6c00f9491564f348c185e0cff5e1815
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    Dataset updated
    Nov 30, 2020
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This map features a topographical map of the City and County of New York, and the adjacent Country from 1836. The map is overlayed on a contemporary topographic map of New York City and the surrounding area for comparison purposes.More information on this map …

  14. n

    NYS Latest LiDAR Collections

    • data.gis.ny.gov
    • nys-gis-resources-3-sharegisny.hub.arcgis.com
    Updated Jun 12, 2023
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    ShareGIS NY (2023). NYS Latest LiDAR Collections [Dataset]. https://data.gis.ny.gov/maps/nys-latest-lidar-collections/about
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    Dataset updated
    Jun 12, 2023
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description
  15. a

    IE GSI LiDAR Digital Surface Model (DSM) Hillshade New York University (NYU)...

    • opendata-geodata-gov-ie.hub.arcgis.com
    Updated Feb 14, 2018
    + more versions
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    Geological Survey Ireland (2018). IE GSI LiDAR Digital Surface Model (DSM) Hillshade New York University (NYU) 1m Dublin (ROI) ITM MH TIFF [Dataset]. https://opendata-geodata-gov-ie.hub.arcgis.com/datasets/ie-gsi-lidar-digital-surface-model-dsm-hillshade-new-york-university-nyu-1m-dublin-roi-itm-mh-tiff
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    Dataset updated
    Feb 14, 2018
    Dataset authored and provided by
    Geological Survey Ireland
    License

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

    Area covered
    Description

    LiDAR (Light Detection and Ranging) is a remote sensing technology, i.e. the technology is not in direct contact with what is being measured. From satellite, aeroplane or helicopter, a LiDAR system sends a light pulse to the ground. This pulse hits the ground and returns back to a sensor on the system. The time is recorded to measure how long it takes for this light to return. Knowing this time measurement scientists are able to create topography maps.LiDAR data are collected as points (X,Y,Z (x & y coordinates) and z (height)). The data is then converted into gridded (GeoTIFF) data to create a Digital Terrain Model and Digital Surface Model of the earth. This LiDAR data was collected on 25th March 2015.An ordnance datum (OD) is a vertical datum used as the basis for deriving heights on maps. This data is referenced to the Malin Head Vertical Datum which is the mean sea level of the tide gauge at Malin Head, County Donegal. It was adopted as the national datum in 1970 from readings taken between 1960 and 1969 and all heights on national grid maps are measured above this datum. Digital Terrain Models (DTM) are bare earth models (no trees or buildings) of the Earth’s surface.Digital Surface Models (DSM) are earth models in its current state. For example, a DSM includes elevations from buildings, tree canopy, electrical power lines and other features. Hillshading is a method which gives a 3D appearance to the terrain. It shows the shape of hills and mountains using shading (levels of grey) on a map, by the use of graded shadows that would be cast by high ground if light was shining from a chosen direction.This data shows the hillshade of the DSM.This data was collected by New York University. All data formats are provided as GeoTIFF rasters. Raster data is another name for gridded data. Raster data stores information in pixels (grid cells). Each raster grid makes up a matrix of cells (or pixels) organised into rows and columns. NYU data has a grid cell size of 1meter by 1meter. This means that each cell (pixel) represents an area of 1meter squared.

  16. n

    NYS DEM Indexes

    • data.gis.ny.gov
    Updated Mar 28, 2023
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    ShareGIS NY (2023). NYS DEM Indexes [Dataset]. https://data.gis.ny.gov/maps/nys-dem-indexes/about
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    DEM Bare Earth Tile Indexes for each LiDAR project. The “DIRECT_DL” field contains a hyperlink to download the associated IMG files. More information for existing DEM collections can be found at https://gis.ny.gov/nys-dem. Service last updated 7/26/24Feature and map services available:https://elevation.its.ny.gov/arcgis/rest/services/Dem_Indexes/FeatureServerhttps://elevation.its.ny.gov/arcgis/rest/services/Dem_Indexes/MapServer

    Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions.

  17. d

    Data for statewide assessment of New York's karst aquifers with an inventory...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Data for statewide assessment of New York's karst aquifers with an inventory of closed-depression and focused-recharge features [Dataset]. https://catalog.data.gov/dataset/data-for-statewide-assessment-of-new-yorks-karst-aquifers-with-an-inventory-of-closed-depr
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    New York
    Description

    The New York State Departments of Environmental Conservation and Health are concerned about groundwater contamination in the carbonate-bedrock aquifers with the potential to host karst features throughout New York State, especially relating to the unintended introduction of chemical or agricultural contamination into these aquifers. USGS Scientific Investigations Report, SIR 2020-5030 (Kappel and others, 2020), provides local and State regulators and the public the information needed to determine the extent of carbonate bedrock in New York, the associated environmental impacts of karst, and the means to protect New York’s karst water resources. The four geodatabases presented in this data release were compiled in support of SIR 2020-5030. Closed depression-focused recharge is one potential pathway for aquifer contamination. A closed depression is any enclosed area that has no surface drainage outlet and from which water escapes only by evaporation or subsurface drainage. On a topographic map a closed depression is typically represented by a hachured contour line forming a closed loop. The map representation applies to closed depressions of both natural and anthropogenic origin. Closed depressions formed by natural processes need not be karst in origin to represent a source of focused-recharge. Three of the four geodatabases in this data release form a comprehensive inventory of all closed depressions, natural and anthropogenic, within the State which are proximal to carbonate, evaporite, or marble units and that have the potential for developing karst features. The fourth geodatabase in this data release contains a digital representation of the study area boundary adopted for the GIS analyses. The three closed depression inventory geodatabases were compiled in the following order: 1) Digital Contour Database of Closed Depressions, 2) Digital Raster Graphic Database of Closed Depressions, and 3) LiDAR Database of Closed Depressions. There is no duplication of features among these three geodatabases. Additionally, the closed depressions inventoried for this data release, were compared with closed depressions mapped in other published geospatial data to eliminate duplication with those datasets. The datasets referenced were the New York State Department of Environmental Conservation Mining Database and the National Hydrography Dataset waterbody features. The Digital Contour Database of Closed Depressions contains features derived from data associated with U.S. Geological Survey Scientific Investigations Report 2012–5167. The source data is a statewide contour dataset that was generated from the National Elevation Dataset (NED) and the National Hydrography Dataset (NHD) in a fully automated process. Closed depressions included in the Digital Raster Graphic Database of Closed Depressions were digitized from an assemblage of approximately 650 Digital Raster Graphic (DRG) images of scanned U.S. Geological Survey 1:24,000-scale topographic maps. A DRG is a scanned image of a U.S. Geological Survey topographic map that can be added as a background layer in a GIS. The LiDAR Database of Closed Depressions contains features generated from high-resolution LiDAR-derived bare-earth DEMs obtained from the New York State Office of Information Technology Services. At the time of analysis (2017) LiDAR data existed for approximately 65 percent of the study area. The DEMs were processed to identify depressions with an area of at least 4,047 square meters (1-acre) and a depth of at least 1-meter. These threshold values are greater than what is typically used for lidar-based sinkhole identification studies. For the purpose of this study, the use of lidar was primarily intended to identify closed depressions that were not represented in the Digital Raster Graphic Database, in the same manner that the DRG images were used to identify closed depressions not represented in the Digital Contour Database. For that reason, the threshold values were based on random sampling of DRG-derived closed depressions within the study area and represent the approximate mean geometric characteristics of the closed depressions sampled. For ongoing and planned larger-scale county-based assessments in New York, the thresholds will be reduced to 10- and 30-centimeters depth and 100 square meters.

  18. Bathymetric Contours of New Jersey

    • hub.arcgis.com
    • gisdata-njdep.opendata.arcgis.com
    Updated Mar 1, 2006
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    NJDEP Bureau of GIS (2006). Bathymetric Contours of New Jersey [Dataset]. https://hub.arcgis.com/datasets/njdep::bathymetric-contours-of-new-jersey/geoservice
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    Dataset updated
    Mar 1, 2006
    Dataset provided by
    New Jersey Department of Environmental Protectionhttp://www.nj.gov/dep/
    Authors
    NJDEP Bureau of GIS
    Area covered
    Description

    This DGS consists of bathymetric elevation contour lines at ten foot intervals off the New Jersey shore including parts of Delaware Bay, New York Bay, Raritan Bay and Sandy Hook Bay. The bathymetric-elevation contour lines range from -10 feet to -220 feet and extend 20 miles offshore. "Bathymetry" data represents the water depth relative to sea level. The shapefile was created from xyz ASCII grid data obtained from The National Ocean & Atmospheric Administration (NOAA), National Geophysical Data Center (NGDC), Coastal Relief Model Development Program. The data originated from a vast compilation of hydrographic soundings collected by the National Ocean Service (NOS) and various academic institutions.

  19. 2000 Cayuga County New York Lidar

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
    + more versions
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2000 Cayuga County New York Lidar [Dataset]. https://data.wu.ac.at/schema/data_gov/NzQ0MzE0YTItOTA4MS00ZDQ3LWIzYzctNzBhNzVlNTI1MDRj
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    License

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

    Area covered
    183ad4c06d9a63233f2880240158e64d2c90be5f
    Description

    These data were collected in April of 2000 for the Cayuga County New York Department of Planning and Economic Development. Elevation points were sampled at densities necessary to support the generation of contours that meet or exceed United States National Map Accuracy Standards applicable to the map scales that County tax maps are published and for the following intervals of contour lines to be depicted: four feet for the entire county, two feet for the City of Auburn and adjacent area and two feet for six floodplain areas. This is a bare earth data set. There are points returned from water surfaces. Point spacing is approximately 5 m. Also, there are areas in the county where the data have been regularized, i.e. gridded points.

  20. Open Topographic Lidar Data - Dataset - data.gov.ie

    • data.gov.ie
    Updated Oct 22, 2021
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    data.gov.ie (2021). Open Topographic Lidar Data - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/open-topographic-lidar-data
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    Dataset updated
    Oct 22, 2021
    Dataset provided by
    data.gov.ie
    License

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

    Description

    This data was collected by the Geological Survey Ireland, the Department of Culture, Heritage and the Gaeltacht, the Discovery Programme, the Heritage Council, Transport Infrastructure Ireland, New York University, the Office of Public Works and Westmeath County Council. All data formats are provided as GeoTIFF rasters but are at different resolutions. Data resolution varies depending on survey requirements. Resolutions for each organisation are as follows: GSI – 1m DCHG/DP/HC - 0.13m, 0.14m, 1m NY – 1m TII – 2m OPW – 2m WMCC - 0.25m Both a DTM and DSM are raster data. Raster data is another name for gridded data. Raster data stores information in pixels (grid cells). Each raster grid makes up a matrix of cells (or pixels) organised into rows and columns. The grid cell size varies depending on the organisation that collected it. GSI data has a grid cell size of 1 meter by 1 meter. This means that each cell (pixel) represents an area of 1 meter squared.

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Office of Technology and Innovation (OTI) (2013). 1 foot Digital Elevation Model (DEM) [Dataset]. https://data.cityofnewyork.us/City-Government/1-foot-Digital-Elevation-Model-DEM-/dpc8-z3jc

1 foot Digital Elevation Model (DEM)

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tsv, csv, xml, application/rdfxml, json, application/rssxmlAvailable download formats
Dataset updated
Aug 9, 2013
Dataset authored and provided by
Office of Technology and Innovation (OTI)
Description

NYC 1foot Digital Elevation Model: A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_DigitalElevationModel.md

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