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Short Citation:
OCM Partners, 2023: 2014 NJMC Lidar: Hackensack Meadowlands,

Item Identification

Title: 2014 NJMC Lidar: Hackensack Meadowlands
Short Name: nj2014_njmc_meadowlands_m4983_metadata
Status: Completed
Publication Date: 2016-01-13

In February 2014, Quantum Spatial, Inc. (QSI) was contracted by the New Jersey Meadowlands Commission (NJMC) to collect Light Detection and Ranging (LiDAR) data in the spring of 2014 for the Hackensack Meadowlands site in New Jersey

Original contact information:

Contact Org: NJ Sports and Exposition Authority (NJSEA)

Title: GIS Program Administrator

Phone: 202-423-5089


Data were collected to aid the NJMC in assessing the topographic and geophysical properties of the study area to support habitat restoration and analysis of the Hackensack River and Meadowlands district.



Supplemental Information:

A lidar report is available for this project here:

A footprint is available for this project here:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Entity Attribute Overview:

Files in LAZ format (Classifications 1,2,9,10)

Entity Attribute Detail Citation:


Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of NJDEP, NJMC, QSI, NOAA, the Office for Coastal Management or its partners.

Support Roles

Data Steward

CC ID: 681036
Date Effective From: 2016-01-13
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 681038
Date Effective From: 2016-01-13
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 681039
Date Effective From: 2016-01-13
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 681037
Date Effective From: 2016-01-13
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1137457
W° Bound: -74.16425
E° Bound: -73.98958
N° Bound: 40.882356
S° Bound: 40.721566

Extent Group 1 / Time Frame 1

CC ID: 1137456
Time Frame Type: Range
Start: 2014-04-09
End: 2014-04-11

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following


The data set is dynamically generated based on user-specified parameters.;

Data Access Constraints:


Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 741773
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 741774
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 741776
URL Type:
Online Resource


CC ID: 741777
URL Type:
Online Resource


CC ID: 741778
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This project footprint shows the coverage for the 2014 collection over the New Jersey Meadowlands.

Activity Log

Activity Log 1

CC ID: 681053
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 681052
Activity Date/Time: 2017-11-14

Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718443
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 741775
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

The accuracy of the LiDAR data collection can be described in terms of absolute accuracy in the report.; Quantitative Value: 0.065 meters, Test that produced the value: 0.065 ft (0.02 m) RMSE

Vertical Positional Accuracy:

The accuracy of the LiDAR data collection can be described in terms of absolute accuracy in the report.; Quantitative Value: 0.027 meters, Test that produced the value: 0.09 ft (0.027 m) RMSE

Completeness Report:

This acquisition is complete

Conceptual Consistency:

Absolute accuracy was assessed using reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy. Absolute accuracy assessment compares known ground control point data collected on open, bare earth surfaces with level slope (less than 20 degrees) to the triangulated ground surface generated by the LiDAR points. It is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96*sigma). The mean and standard deviation (sigma) of divergence of the ground surface model from ground survey point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics. For the Hackensack Meadowlands survey, 750 ground survey points were collected in total resulting in an average accuracy of-0.016 feet (-0.005 meters)


Process Steps

Process Step 1

CC ID: 1137451

In preparation for data collection, QSI reviewed the project area and developed a specialized flight plan to ensure complete coverage of the Hackensack Meadowlands LiDAR study area at the target point density of equal-to-less-than 8.0 points/m2 (0.74 points/ft2). Acquisition parameters including orientation relative to terrain, flight altitude, pulse rate, scan angle, and ground speed were adapted in order to optimize flight paths and flight times while meeting all contract specifications.

Factors such as satellite constellation availability and weather windows must be considered during the planning stage. Logistical considerations including private property access and potential air space restrictions were reviewed. Water levels and tidal conditions along the Hackensack River and surrounding Meadowlands were monitored to ensure airborne acquisition was completed during tidal periods below predicted Mean Sea Level (MSL). Any weather hazards or conditions affecting the flight were continuously monitored due to their potential impact on the daily success of airborne and ground operations

Process Date/Time: 2014-04-01 00:00:00

Process Step 2

CC ID: 1137452

The Hackensack Meadowlands LiDAR survey was accomplished using a Leica ALS50 phase II system mounted in a Cessna Caravan. Table 3 summarizes the settings used to yield an average pulse density of less than 8.0 pulses/m2 (0.74 pulses/ft2) over the Hackensack Meadowlands project area. The Leica laser system records up to four range measurements (returns) per pulse. It is not uncommon for some types of surfaces (e.g., dense vegetation or water) to return fewer pulses to the LiDAR sensor than the laser originally emitted. The discrepancy between first return and overall delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All discernible laser returns were processed for the output dataset.

Process Date/Time: 2014-04-01 00:00:00

Process Step 3

CC ID: 1137453

1. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey.

2. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las (ASPRS v. 1.3) format. Convert data to orthometric elevations by applying a geoid12a correction.

3. Import raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines.

4. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift.

Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration.

5. Classify resulting data to ground and other client designated ASPRS classifications. Assess statistical absolute accuracy via direct comparisons of ground classified points to ground control survey data.

6. Generate bare earth models as triangulated surfaces. Generate highest hit models as a surface expression of all classified points. Export all surface models as ESRI GRIDs in EDRAS Imagine (.img) format at a 2.0 foot pixel resolution.

7. Correct intensity values for variability and export intensity images as GeoTIFFs at a 2.0 foot pixel resolution.

Process Date/Time: 2014-07-01 00:00:00

Process Step 4

CC ID: 1137454

The NOAA Office for Coastal Management (OCM) received LAS point clouds from the New Jersey Office of Information Technology in February 2015. The files contained lidar elevation and intensity measurements. The data were in New Jersey State Plane coordinates (ft) and orthometric elevations (ft). OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. LAS files were compressed to LAZ format using laszip.

2. LAS files were voided of points below -25 m and as assumed to be error.

3. LAS points were converted to adjusted GPS time.

4. LAS files were transformed from New Jersey State Plane horizontal coordinates (ft) and NAVD88 orthometric vertical heights (ft) to geographic coordinates (decimal degrees) and ellipsoidal heights (meters).

Process Date/Time: 2015-12-10 00:00:00

Catalog Details

Catalog Item ID: 49864
GUID: gov.noaa.nmfs.inport:49864
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:22+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16