2018-03-08 1.0 FGDC CSDGM Metadata FALSE be_NYC 002 913082.000000 1067709.000000 118396.000000 273169.000000 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.5'><WKT>PROJCS[&quot;NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,984250.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-74.0],PARAMETER[&quot;Standard_Parallel_1&quot;,40.66666666666666],PARAMETER[&quot;Standard_Parallel_2&quot;,41.03333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,40.16666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2263]]</WKT><XOrigin>-120039300</XOrigin><YOrigin>-96540300</YOrigin><XYScale>37212589.015695661</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102718</WKID><LatestWKID>2263</LatestWKID></ProjectedCoordinateSystem> 32 FALSE LZW 1 TIFF TRUE continuous floating point -3.4028231e+038 20181109 12561300 20181109 12561300 150000000 5000 ISO19139 Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 NYC 2017 LiDAR TopoBathymetric Bare Earth DEM (mosaic) raster digital data Quantum Spatial 1100 NE Circle Blvd., Suite 126 Corvallis OR 97330 US 541-752-1204 http://www.quantumspatial.com Quantum Spatial 2018-06-19 1 -74.257499 -73.698030 40.916459 40.491252 New York City LiDAR 2017-05-03 2017-07-26 Provide high resolution terrain elevation data from the New York City LiDAR dataset. <div style=''><div><div><p><span>The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and anthropogenic features removed. It is derived from Green and NIR LiDAR data using TIN processing of the ground and bathymetric bottom point returns. Green LiDAR was used within the water's edge breakline for data splicing shape only (provided as another deliverable) and NIR LiDAR was used everywhere outside of this shape. Within the NIR-only portion of the AOI all rivers greater than 20 feet in width and lakes at least 0.25 acres in size have been flattened to consistent elevations. Some smaller streams and ponds were also flattened when deemed appropriate. Water boundary polygons were developed manually and by using automatic algorithms. Elevation values were then assigned to the water's edge from the LiDAR data creating 3D breaklines enforced during model creation to flatten water bodies. Some elevation values inside the NIR-only AOI have been interpolated across areas in the ground model where there is no elevation data (e.g. under dense vegetation). Within the green-only portion of the AOI (inside the low tide breaklines shape), the data has been clipped to avoid triangulation and false interpolation over areas identified as voids in the Bathymetric Coverage Polygon (provided as a separate deliverable).The horizontal datum for this dataset 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. Quantum Spatial collected the New York City LiDAR data for The City of New York between 05/03/17 and 07/26/17</span><span>.</span></p></div></div></div> The City of New York LiDAR Light Detection and Ranging elevation data topography bare earth hydro-flattened breaklines DEM digital elevation model New York City New York NYC Manhattan Brooklyn Queens The Bronx Staten Island LiDAR, Light Detection and Ranging, elevation data, topography, bare earth, hydro-flattened, breaklines, DEM, digital elevation model New York City New York NYC, Manhattan, Brooklyn, Queens, The Bronx, Staten Island 1 This data is assembled by AOI and projected in New York State Plane - Long Island. DoITT The City of New York 2 Metro Tech, 4th Floor Brooklyn New York 11201 Gis-mgt@doitt.nyc.gov US 718-403-8214 DoITT Please contact The City of New York for information regarding the use of this data. <div style=''><div><div><p><span>In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces are derived from waters edge breaklines. Triangles were created across water surfaces by interpolating from the nearest breakline elevation points. Due to some very large buildings within the city, there are very large triangles/interpolation throughout. Mosaicking lines and "cross hairs" may be seen in the middle of some interpolation. This is normal and will not affect the quality of the data. Wooden boardwalks and concrete boardwalks which are known to be on pylons and where separation is clearly visible, were removed from the bare earth models. In some areas of the dataset, the DEM goes from being hydroflattened to being bathymetric bottom data. This happens where the "Waters_Edge_for_Data_Splicing" shape cuts through a coastline or long stream/river. For ponds and lakes that cross this boundary, the data has been hydroflattened within the shape while bathymetric data still exists within the LiDAR point cloud.</span></p></div></div></div> File Geodatabase Raster Dataset 1 DoITT The City of New York 2 Metro Tech, 4th Floor Brooklyn New York 11201 Gis-mgt@doitt.nyc.gov US 718-403-8214 dataset EPSG 5.3(9.0.0) 2 1 0 913082.000000 118396.000000 913082.000000 273169.000000 1067709.000000 273169.000000 1067709.000000 118396.000000 990395.500000 195782.500000 154627 1.000000 154773 1.000000 Band_1 84.330002 -9.710000 32 ft_US Digital Elevation Model False False False False False 2018-03-08 Quantum Spatial 1100 NE Circle Blvd., Suite 126 Corvallis OR 97330 US 541-752-1204 http://www.quantumspatial.com Quantum Spatial Quantum Spatial LiDAR data has been collected and processed for all areas within the project study area. Flight plans are designed with sufficient sidelap to ensure there are no gaps between flightlines. Shaded relief images have been visually inspected for gaps. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flightlines have been examined to ensure consistent elevation values across overlapping flightlines. The Root Mean Square Error (RMSE) of line to line relative accuracy for this dataset is 0.085 ft (0.026 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset. Data was examined at a 1:2000 scale. Relative accuracy of the flightlines was assessed in Microstation using TerraMatch. RMSE ft_US 0.085 ft (0.026 m) The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.242 ft (0.074 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset. Non-vegetated Vertical Accuracy was assessed using 151 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data. NVA ft_US 0.242 ft (0.074 m) The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.517 ft (0.158 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset. Vegetated Vertical Accuracy was assessed using 18 VVA check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data. VVA ft_US 0.517 ft (0.158 m) Acquisition. Quantum Spatial collected the New York City LiDAR data between 05/03/17 and 07/26/17. The survey used a Riegl VQ-880-G laser system mounted in a Cessna Caravan 208B and a Leica ALS80 mounted in a Cessna 402C. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Riegl VQ-880-G Maximum returns: Unlimited Nominal pulse density: 15 pulses/m^2 Nominal pulse spacing: 0.26 m AGL: 450 m Speed: 120 knots FOV: 40° Scan frequency: 80 lines/sec Pulse rate: 245 kHz Pulse duration: 1.5 ns Pulse width: 45 cm Wavelength: 532 nm Pulses in air mode: Multiple Pulses in Air Beam divergence: 0.7 mrads Swath width: 327.5 m Overlap: 60% Sensor: Leica ALS80 Maximum returns: Unlimited Nominal pulse density: 8 pulses/m^2 Nominal pulse spacing: 0.35 m AGL: 1800 m Speed: 145 knots FOV: 28° Scan frequency: 48 hz Pulse rate: 314.8 kHz Pulse duration: 2.5 ns Pulse width: 39.6 cm Wavelength: 1064 nm Pulses in air mode: Multiple Pulses in Air Beam divergence: 22 mrads Swath width: 898 m Overlap: 60% 2017-07-26T00:00:00 1. Flightlines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using Waypoint Inertial Explorer and Leica Cloudpro software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flightlines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flightlines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll, and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using post-processing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the ground survey points collected to verify the vertical accuracy. 9. TIN processing of the ground point returns with water's edge breaklines enforced was used to create this hydro-flattened bare earth DEM. 2018-03-08T00:00:00 Vertical accuracy was also assessed using ground control points that were used in the calibration and post processing of the LiDAR point cloud as they still serve as a good indication of the overall accuracy of the LiDAR dataset. The Root Mean Square Error (RMSE) of the vertical accuracy of the LiDAR dataset as compared to ground control points is 0.128 ft (0.039 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset. 2416 ground control points were collected and utilized in the calibration and post processing of the LiDAR data point cloud. RMSE 0.128 ft (0.039 m) ft_US 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