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Short Citation:
OCM Partners, 2023: 2009 USGS-NJDEP Lidar: Salem County (Non-CAFRA Area),

Item Identification

Title: 2009 USGS-NJDEP Lidar: Salem County (Non-CAFRA Area)
Short Name: nj2009_usgs_njdep_salem_m5002_metadata
Status: Completed
Publication Date: 2010-08

The following is a Project Report that details the technical parameters, procedures and results of Task Order G09PD00703 issued to Photo Science by the US Geological Survey (Contract #07CRCN0014) on March 16, 2009 to provide Light Detection and Ranging (LiDAR) collection and processing services for Salem County, NJ.

Photo Science provided professional mapping services necessary to collect and processes 2.0 points per square meter (0.7m GSD) LiDAR data for Salem County, New Jersey consisting of approximately 275 sq. miles. Photo Science was responsible for complete acquisition of the project area at the required data density and for the processing of data to bare earth as well as production of additional derivative products described herein. The lineage (metadata), positional, content (completeness), attribution, logical consistency, and accuracies of all digital elevation data produced in this Task Order conform to the specifications as stated in Task Order Sections C.1.a through C.1.f. The flight line layout is shown in the graphic below. A total of 68 flight lines totaling 755 flight line miles were required to cover the project area.


To provide LiDAR data for New Jersey Department of Environmental Protection (NJ-DEP).

This project acquired and produced high accuracy bare-earth processed LiDAR data in LAS format and 2.0-meter Digital Elevation

Models (DEMs) in ArcGrid format for approximately 874 square miles covering the 3 New Jersey counties of Cape May, Cumberland, and part

of Salem that is south and west of the Coastal Area Facility Review Act (CAFRA) line.



Supplemental Information:

A footprint of this data set may be viewed in Google Earth at:

A report concerning this data is available here:

A report concerning this data is available here:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
None Light Detection and Ranging

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: Unknown
Data Presentation Form: LAS
Entity Attribute Overview:

Attributes included: x, y, z to two significant digits; intensity and class as integers. Also includes echo return, time stamp, etc.

Entity Attribute Detail Citation:

LiDAR point data in LAS 1.1; ASPRS classification scheme: Class 1 - Unclassified/Extracted Features; Class 2 - Bare Earth Ground;

Class 9 - water; Class 12 - overlap.

Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or

its partners.

Support Roles

Data Steward

CC ID: 680751
Date Effective From: 2010-08
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: 680753
Date Effective From: 2010-08
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: 680754
Date Effective From: 2010-08
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: 680752
Date Effective From: 2010-08
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: 1137560
W° Bound: -75.573427
E° Bound: -75.056694
N° Bound: 39.790977
S° Bound: 39.460799

Extent Group 1 / Time Frame 1

CC ID: 1137559
Time Frame Type: Range
Start: 2009-03-25
End: 2009-03-31

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 URL:;

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


Distribution Information

Distribution 1

CC ID: 741743
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: 741744
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 741746
URL Type:
Online Resource


CC ID: 741747
URL Type:
Online Resource


CC ID: 741748
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the non-CAFRA area of Salem County, NJ.

Activity Log

Activity Log 1

CC ID: 680766
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 680765
Activity Date/Time: 2017-11-14

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

Activity Log 3

CC ID: 718438
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 741745
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality


As required, Dewberry & Davis collected 20 ground control QA check points. These points was be used by the Government for validation. The points are dispersed over the project area to verify fundamental vertical accuracy. Fundamental vertical accuracy checkpoints are located only in open terrain, where there is a high probability that the sensor was have detected the ground surface without influence from surrounding vegetation. Checkpoints are located on flat or uniformly sloping terrain and was be at least five (5) meters away from any break line where this is a change in slope. The checkpoint accuracy satisfied a Local Network accuracy of 5-centimeteres at the 95% confidence level. These control values were sent directly to USGS without being incorporated into Photo Science's production process.

Horizontal Positional Accuracy:

Compiled to meet 1 m horizontal accuracy

Vertical Positional Accuracy:

See QA Report for details; Quantitative Value: 0.15 meters, Test that produced the value: Reporting RMSEz of 0.15 m

Completeness Report:

Data completeness and integrity was verified.

Conceptual Consistency:

All LAS formatted LiDAR data are validated to ensure that data on delivery media is in correct physical format and is readable and correctly

georeferenced and projected. Note that LiDAR intensity is not calibrated or normalized.




CC ID: 1137555
Extent Type: Range
Extent Start Date/Time: 2008-04-08
Extent End Date/Time: 2008-04-17
Source Contribution:

LiDAR points were used to produce the deliverables. | Source Geospatial Form: digital data | Type of Source Media: hard drive

Process Steps

Process Step 1

CC ID: 1137556

Leica software was used in the post-processing of the airborne GPS and inertial data that is critical to the positioning of the sensor during all flights. This software suite includes Applanix's PosPac and Waypoint's GrafNav solutions. PosPac provides the smoothed best estimate of trajectory (SBET) that is necessary for Leica's post processor to develop the point cloud from the Lidar missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set.

The point cloud was created using Leica's ALS Post Processor software. GeoCue was used in the creation of some of the files needed in downstream processing, as well as in the tiling of the dataset into more manageable file sizes. The TerraScan and TerraModeler software packages are then used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. QT Modeler was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable LAS 1.1 files for both the All Point Cloud Data and the Bare Earth. In-house software was then used to perform final statistical analysis of the classes in the LAS files as a quality control measure.

Hydro Enforcement

Utilizing the provided 1:2,400-scale digital hydrography, the Photo Science Team developed 3-dimensional breaklines from lidargrammetry and the intensity images. The Team created LiDAR stereo-mates using GeoCue LiDAR Pak software, and then used Socet Set and lidargrammetry to stereo-compile the hydro breaklines. Lidargrammetry, described on pages 227-230 of "Digital Elevation Model Technologies and Applications: The DEM Users Manual," 2nd edition, is a new technology that we have found superior for 3D breakline generation from LiDAR data. The breaklines are topologically correct and maintain monotonicity to ensure the downward flow of water. These breaklines were also used to classify water features in the LAS data.

Hydro Enforced DEM Development

The bare-earth DEM was hydro-enforced utilizing the criteria stated in Task Order Items C.1.b(iii) and C.1.c (i) but was supplemented by the criteria in Appendix F - Data Dictionary and Hydro Breakline Stereo Compilation Rules to better match the final product of the 2-0 meter DEM. Due to the small grid size of 2 meters, criteria such as "Streams are considered Double line streams when the width of the stream measures 1/4 inch or more based on a 1:24,000 scale" would have produce a result whereby a single line stream would be 500 feet or less. Therefore a single line stream could only be represented by the width of one cell which would only be 2 meters, which would not have been a good representation of the stream width. Appendix F defines the criteria for which all hydro lines were collected to ensure that streams flow downhill, that double line streams be flattened, that water course shall be connected through bridges and culverts and that puddling or false depressions be resolved.

Process Date/Time: 2007-05-07 00:00:00

Process Step 2

CC ID: 1137557

The NOAA Office for Coastal Management (OCM) received files in LAS format. The files contained LiDAR intensity and elevation measurements.

OCM performed the following processing on the data to make it available within Digital Coast:

1. The LAS files were corrected based on GPS time-week to adjusted-GPS standard time (week 1524) and outlier elevations were removed. Though this was later recognized to be incorrect, the GPS dates were left as is. To fix this week/date issue, data would have needed to be delivered as swath. Extensive work would be needed, as well as flightlines in a ingestable format. Please notice, some tile dates will be a GPS week off, though the report specifies by date the areas flown on specific dates.

2. The data were converted from New Jersey State Plane (ft) to geographic coordinates.

2. The data were converted from NAVD88 heights (ft) to ellipsoid heights using Geoid03.

3. The LAS header fields were sorted by latitude and updated.

Process Date/Time: 2016-01-05 00:00:00

Catalog Details

Catalog Item ID: 49859
GUID: gov.noaa.nmfs.inport:49859
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