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Topobathymetric Classified Point Cloud

Geometry Type: Point (LAS 1.4)

image

Table of Contents

         1. Identification
         2. Data Quality and Specifications
         3. Attribute Information

1. Identification


Purpose The topobathymetric classified point cloud may be used for creating 3D building models, tree canopy models, or may be further classified. See LiDAR and Derived Products for a summary of derived products created from this classified point cloud.
Description In May 2017, Quantum Spatial (QSI) was contracted by Applied Geographics to collect topographic and topobathymetric Light Detection and Ranging (LiDAR) data for the City of New York (NYC) in the spring and summer of 2017 for the New York City LiDAR project site in New York. QSI collected and processed traditional (near infrared wavelength) LiDAR over the topographic AOI, and spliced together NIR and bathymetric LiDAR (green wavelength) for the topobathymetric AOI. 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.
Source(s) City of New York, Quantum Spatial Inc.
Publication Dates Data:
Last Update: 10/2018
Metadata: 11/20/2018
Update Frequency: As needed
Available Formats LAS 1.4
Access Rights Public
Links Topobathymetric Point Cloud
Tags classified point cloud, lidar

2. Data Quality and Specifications


Horizontal Coordinate System New York State Plane Coordinates, Long Island East Zone, NAD83, US foot
Resolution Data was collected with QL1 specifications (8 pulses/m2). Actual first return densities for this dataset are:
Topographic (NIR): 10.75 pts/m2
Bathymetric (Green): 15.24 pts/m2
Spatial Coverage New York City, plus an additional 100 m buffer around the city
Temporal Coverage Topographic: 05/03/2017 - 05/17/2017
Bathymetric: 07/04/2017 - 07/26/2017
Positional Accuracy Topographic
Non-Vegetated Vertical Accuracy (95% confidence level): 0.242 ft (0.074 m)
Vegetated Vertical Accuracy (95th percentile): 0.517 ft (0.158 m)
Relative Vertical Accuracy: 0.085 ft (0.026 m)

Bathymetric
Non-Vegetated Vertical Accuracy (95% confidence level): 0.208 ft (0.064 m)
Features Captured The topobathymetric point cloud was classified as follows:

1 - Default/Unclassified
1 WO - Default/Unclassified Withheld Overlap
2 - Ground
7 W - Noise Withheld
9 - Water
10 - Ignored Ground (Water's Edge)
17 - Bridge
25 - Subway Stairs
40 - Bathymetric Bottom
41 - Water Surface
45 - Water Column
Capture and Update Notes For more information on data acquisition, processing, and accuracy assessments of the 2017 LiDAR data, see the Topobathymetric LiDAR Technical Data Report