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Data Set Info
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Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2008 USGS South New Jersey County Project Lidar: Cape May County, https://www.fisheries.noaa.gov/inport/item/50107.
Full Citation Examples

Abstract

The South New Jersey County Lidar project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP)

for Cape May, Cumberland, and part of Salem Counties in New Jersey. These datasets will be the initial acquisition to support the United

States Geological Survey (USGS) and the New Jersey Department of Environmental Protection (NJ-DEP). This LiDAR data set was collected

in April 2008 for Cape May County and covers 285 square miles. The data are classified as follows:

Class 1 - Unclassified/Extracted Features

Class 2 - Bare Earth, Ground

Class 9 - Water

Class 12 - Overlap

Distribution Information

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

  • Simple download of data files.

Access Constraints:

None

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.

Controlled Theme Keywords

elevation

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Extents

Geographic Area 1

-74.984767° W, -74.525043° E, 39.327576° N, 38.914716° S

Time Frame 1
2008-04

Item Identification

Title: 2008 USGS South New Jersey County Project Lidar: Cape May County
Short Name: usgs2008_cape_may_m541_metadata
Status: Completed
Publication Date: 2010
Abstract:

The South New Jersey County Lidar project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP)

for Cape May, Cumberland, and part of Salem Counties in New Jersey. These datasets will be the initial acquisition to support the United

States Geological Survey (USGS) and the New Jersey Department of Environmental Protection (NJ-DEP). This LiDAR data set was collected

in April 2008 for Cape May County and covers 285 square miles. The data are classified as follows:

Class 1 - Unclassified/Extracted Features

Class 2 - Bare Earth, Ground

Class 9 - Water

Class 12 - Overlap

Purpose:

The South New Jersey County Lidar project is 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.

Notes:

10751

Supplemental Information:

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

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/541/supplemental/2008_USGS_South_NJ_Lidar_Cape_May_County.kmz

Technical Acquisition Parameters:

Utilizing Leica ALS50 II laser systems which can collect data at laser pulse rates up to 150 KHz, Photo Science flew the project

area at 5,000 feet AGL and utilized a 29 degree full-angle field of view. Flights were accomplished nominally at 115 knots

(ground speed) with a pulse rate of 73,500Hz (73.5 KHz), collecting four returns per pulse. The scan rate was be set at 42Hz.

These settings resulted in a swath of 2,586 feet with maximum along track and cross track spacing of 4.62 feet (1.41 meters).

Environmental Acquisition Conditions:

Leaf-Off, snow free, non-flood conditions, low tide.

Low tide: Acquisition was performed within a window of +/- 3 hours from mean low tide for the project area (flight windows that

occur twice a day, that are approximately six hours in length but could be longer depending on the lunar cycle). Low tide is defined

as when the height of tide is different from Mean Lower Low water by fifty percent (50%) of the tide range or less as predicted by

the National Oceanic and Atmospheric Administration (NOAA), National Oceanic Service (NOS) Center for Operational Oceanographic Product

and Services (http://www.co-ops.nos.noaa.gov/). All flight lines affected by tide stage were coordinated with predicted tides at

existing gauges at Cape May, Ship John Shoal, and Reedy Point.

Nominal Pulse density:

Average point density is 1.58 points per square meter.

Average point spacing is 0.8 meters, or 8 decimeters.

Calibration procedures:

Photo Science has created a significant boresight facility at the Frankfort, KY airport where the Lidar platforms are stationed

when not in service. Boresighting at this facility takes place with our Lidar sensors at numerous times throughout the year.

Additionally, a mini-calibration site was established at the Millville Municipal Airport at the project site. Additional calibration

flights were conducted over this site to ensure accurate determination of the calibration parameters throughout the times of acquisition.

GPS:

Acquisition for this project was broken into three sub areas with base stations from the NGS database selected near the center of

each acquisition area to serve as control for all lifts. Ground based GPS receivers were occupied at these stations during all aerial

collection. The published NGS positions of these base stations and raw GPS observation data were used in the kinematic GPS

post-processing of all lifts to provide positioning for the point clouds produced for this project.

Maximum and mean differential baseline lengths:

Nominal Maximum base line distance = 20 Miles

Mean base line distance = 11 Miles

Geoid Model Used:

Geoid 03 was used for all elevation conversions to orthometric heights.

Data Collection Reference System:

Horizontal: New Jersey State Plane Coordinate System, 1983 North American Datum, feet

Elevation in North American Vertical Datum of 1988 (NAVD88), meters

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
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.

Data Set Credit: Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data.

Support Roles

Data Steward

CC ID: 690752
Date Effective From: 2010
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 690754
Date Effective From: 2010
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 690755
Date Effective From: 2010
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 690753
Date Effective From: 2010
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1138803
W° Bound: -74.984767
E° Bound: -74.525043
N° Bound: 39.327576
S° Bound: 38.914716

Extent Group 1 / Time Frame 1

CC ID: 1138802
Time Frame Type: Discrete
Start: 2008-04

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: https://coast.noaa.gov/dataviewer;

Data Access Constraints:

None

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: 743063
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=541
Distributor:
File Name: Customized Download
Description:

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

Distribution 2

CC ID: 743064
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/541/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 743066
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 743067
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 690767
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 690766
Activity Date/Time: 2017-11-14
Description:

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

Activity Log 3

CC ID: 718711
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743065
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Accuracy:

The following aspects of the LiDAR data was verified during the course of the project processing:

-Data accuracy and errors

-Anomaly checks through full-feature hillshades and 3-D modeling

-Post automated classification Bare-earth verification

-Final quality control of deliverable products ensuring integrity, graphical quality

Horizontal Positional Accuracy:

Compiled to meet 1 m horizontal accuracy

Vertical Positional Accuracy:

Independent accuracy testing was performed by Dewberry using 60 high accuracy quality control checkpoints distributed

around Salem, Cumberland, and Cape May County on near level open bare terrain, urban terrain and near level vegetated terrain.

Dewberry uses testing procedures consistent with those specified in the National Standard for Spatial Data Accuracy (NSSDA).

Target equivalent to 2 ft contours: 0.363 m.

FVA - Fundamental Vertical Accuracy in open terrain (RMSEz x 1.9600): 0.13 m;

CVA - Consolidated Vertical Accuracy (95th Percentile) all categories: 0.16 m;

SVA - Supplemental Vertical Accuracy (95th Percentile) in mixed vegetation: 0.18 m;

SVA - Supplemental Vertical Accuracy (95th Percentile) in Urban: 0.12 m;

16 points were included inside the Cape May dataset, the consolidated accuracy (95th Percentile all categories) for these points

is 0.16 m.

; Quantitative Value: 0.13 meters, Test that produced the value:

Using NSSDA standards, this LiDAR dataset

was tested 0.13 m fundamental vertical accuracy at 95% confidence level in open terrain using RMSEz x 1.9600, compared to 0.363 m

for 2 ft equivalent contour.

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.

Lineage

Sources

LiDAR

CC ID: 1138797
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: 1138798
Description:

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 manipulated within the Leica software; GeoCue, TerraScan, and TerraModeler software was 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 were removed using functionality provided by TerraScan and TerraModeler.

The project was tiled adhering to the State of New Jersey 5000'x5000' tile schema and each tile was saved in LAS format 1.1

including GPS time.

Note: The Julian date and year written in the LAS header is actually the file creation date and has no connection to the

acquisition date. However the GPS time (second of the week) is registered for each point in the LAS file and the week of

acquisition can be deduced from the file name which include the GPS week (1474 = week starting 04/06/2008; 1475 = week

starting 04/13/2008). When an area includes data from flightlines acquired over two different GPS weeks, separate files for the

data captured in each of the weeks are delivered. For example tile B18D14 has data from both weeks; therefore there are two

separate files: B18D14_1474.LAS & B18D14_1475.LAS.

Process Date/Time: 2008-07-15 00:00:00

Process Step 2

CC ID: 1138799
Description:

A Terrascan macro was used to classify the Lidar points inside rivers and lakes from class 2 to class 9. This classification was

visually inspected by comparing the bare earth class against the hydro breaklines. Then the elevations were converted from feet

to meters to meet the final delivery specifications.

Process Date/Time: 2008-07-01 00:00:00

Process Step 3

CC ID: 1138800
Description:

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 data were converted from New Jersey State Plane coordinates to geographic coordinates.

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

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

Process Date/Time: 2010-06-01 00:00:00

Catalog Details

Catalog Item ID: 50107
GUID: gov.noaa.nmfs.inport:50107
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:24+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