gov.noaa.nmfs.inport:49857
eng
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dataset
OCM Partners
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NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
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NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2008 USGS New Jersey Lidar: Somerset County
nj2008_somerset_m545_metadata
2008-05-01
publication
NOAA/NMFS/EDM
49857
https://www.fisheries.noaa.gov/inport/item/49857
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Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov
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Citation URL
Online Resource
download
https://coast.noaa.gov/dataviewer
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These data support the general geospatial needs of the USGS and other federal agencies. LiDAR data is remotely sensed high-resolution elevation
data collected by an airborne collection platform. By positioning laser range finding with the use of 1 second GPS with 200hz inertial measurement
unit corrections, Airborne 1's LiDAR instruments are able to make highly detailed geospatial elevation products of the ground, man-made structures
and vegetation. The LiDAR flightlines for this project were planned for a 50% acquisition overlap. The nominal resolution of this project without
overlap is 1.203m, with a 0.90m resolution with the 50% overlap, assuming a normal distribution. Two returns were recorded for each pulse in addition
to an intensity value. GPS Week Time, Intensity, Flightline and number attributes were recorded for each LiDAR point. Positional values were recorded
to the centimeter level, while GPS is recorded to a 10th of a millisecond. Scan angle was recorded to the nearest angle, Intensity is recorded as a
12 Bit dynamic range value and echo is recorded as a numeric value from 0 to 256.
The data was originally provided as random points, in LAS v1.1 format, classified according to the following codes:
Class 1 Non-ground/Extracted Features Last Pulse
Class 2 Bare Earth Ground Features Last Pulse
Class 3 Extracted Features First Pulse
Class 4 Bare Earth Ground Features First Pulse
It should be noted that Class 3 and 4 are not ASPRS classes but since this data is a two pulse system, this is the most efficient format to
separate the pulses and classification process.
The data was reclassified into 2 distinct classifications:
Class 1 Non-ground/Extracted Features First and Last Pulse
Class 2 Bare Earth Ground Features First and Last Pulse
This data was collected to support geospatial analysis of Somerset County, New Jersey.
Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
notPlanned
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2008 USGS New Jersey Lidar: Somerset County [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49857.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and that 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.
otherRestrictions
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.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49857
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49857.pdf
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NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
elevation
-74.798045
-74.499545
40.373106
40.758506
| Currentness: Ground Condition
2008-02-01
a) Nominal Pulse density = The nominal resolution of this project without overlap is 1.203m.
b) Calibration procedures =
- General Overview:
The Airborne LiDAR survey was conducted using one OPTECH 2050 systems flying at a nominal height of 1370 meters AGL a total angular coverage
of 40 degrees. Flight line spacing nominally 639 meters providing overlap of 50% on adjacent flight lines. Lines were flown in N/S directions
to best optimize flying time considering the layout for the project. Distances from base station to aircraft (differential baselines) were kept to a
maximum of 30 km while the mean is 6.8 km. The aircraft was a Cessna Caravan, registration N682AC, was used for the survey. This aircraft has a
flight range of approximately 13.5 hours and was flown at an average altitude 1370 meters above ground level (AGL). The aircraft was staged from the
Morristown and Princeton Airports and ferried daily to the project site for flight operations.
Aircraft Speed = 110 Knots
Number of Scanners = 1
Swath Width = 1278.01 m Nominal
Distance Between Flight Lines = 639m
Data Acquisition Height = 1370 meters AGL
Pulse Repetition Rate = 50 Kilohertz
Number of Returns Per Pulse = 2
Scanner Field of View = 40 degrees
Frequency of Scan = 28 Hertz
Beam Divergence = Narrow
- GPS Receivers:
A combination of Leica 500 Series and Applanix POSAv-410 dual frequency GPS receivers were used to support the airborne operations of this survey
and to establish the GPS control network.
- Number of Flights and Flight Lines:
A total of 3 missions were flown for this project with flight time ranging approximately 3.5 hours under good meteorological and GPS conditions.
51 flight lines were flown over the project site to provide complete coverage.
- Reference Coordinate System Used:
Existing NGS (National Geodetic Survey) monuments were observed as control base stations in a GPS control network - PIDs AG9916 and KV1189. AG9916
and KV1189 were occupied as primary control for the project flight missions and kinematic ground surveys. The published horizontal datum of the NGS
stations is NAD83 and the vertical datum NAVD88. The following are the final coordinates of the newly established control points used in this project:
Station_PID: AG9916
West_Longitude: -074 26 46.04499
North_Latitude: 40 33 26.21313
Ellips_Elev: -7.771m
Station_PID: KV1189
West_Longitude: -074 43 48.85846
North_Latitude: 40 36 22.24551
Ellips_Elev: -7.771m
- Geoid Model Used:
The Geoid03 geoid model, published by the NGS, was used to transform all ellipsoidal heights to orthometric.
The Lidar QA/QC Quantitative and Qualitative Assessment Report for this data set may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/545/supplemental/lidarqaqcreport_somerset_final.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/545/supplemental/2008_USGS_NJ_Lidar_Somerset_County.kmz
false
eng
false
LiDAR point data in LAS 1.1 ASPRS classification scheme Class 1 Non-ground/Extracted Features Last Pulse; Class 2 Bare Earth Ground Features
Last Pulse; Class 3 All Shots First Pulse; Class 7 Noise.
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=545
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/545/index.html
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Bulk Download
Simple download of data files.
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dataset
Accuracy
According to Airborne 1 standards; 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 0.5m horizontal accuracy at the 95 percent confidence level
Vertical Positional Accuracy
Independent accuracy testing was performed by Dewberry using high accuracy quality control checkpoints distributed around Somerset County
on near level open bare terrain and near level vegetated terrain. Dewberry uses testing procedures consistent with those specified in the National
Standard for Spatial Data Accuracy (NSSDA). The Bare Earth RMSEz is 0.06m compared to the specified 0.15m for accuracy. This number represents the
combined vertical accuracy of 40 individual open terrain (RMSEz = 0.058m) and urban (RMSEz = 0.063m) checkpoints. The RMSEz for Vegetation is 0.10m
compared to the specified 0.27m for accuracy. This represents the combined vertical accuracy of 20 individual vegetated (plant heights between
1 and 5 ft; RMSEz = 0.119m) and forested (plant heights greater than 5 ft; RMSEz = 0.083m) checkpoints.
; Quantitative Value: 0.114 meters, Test that produced the value:
National Standard for Spatial Data Accuracy. Using NSSDA standards, this LiDAR dataset was tested 0.114m fundamental vertical accuracy
at 95% confidence level, compared to 0.363m for 2ft equivalent contour.
Completeness Report
According to Airborne 1 standards, data completeness and integrity was verified. Conformance to Airborne 1 standards are met for all delivered products.
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.
> Airborne GPS Kinematic
Airborne GPS kinematic data was post processed at Airborne 1 facilities using POS-GNSS kinematic On-The-Fly (OTF) software. Flights were flown
with a minimum of 6 satellites in view (13o above the horizon) and with a PDOP of better than 3.5. Distances from base station to aircraft
(differential baselines) were kept to a maximum of 31 km while the mean is 16 km, to ensure a strong OTF (On-The-Fly) solution. For all flights,
the GPS data can be classified as excellent, with GPS residuals of 5cm average but no larger than 10 cm being recorded.
>Generation and Calibration of laser points (raw data)
The initial step of calibration is to verify availability and status of all needed GPS and Laser data against field notes and compile any data
if not complete. Subsequently the mission points are output using Optech's REALM, initially with default values from Optech or the last mission
calibrated for system. The initial point generation for each mission calibration is verified within Microstation/Terrascan for calibration
errors. If a calibration error greater than specification is observed within the mission, the roll pitch and scanner scale corrections that need
to be applied are calculated. The missions with the new calibration values are regenerated and validated internally once again to ensure quality.
All missions are validated against the adjoining missions for relative vertical biases and collected GPS kinematic ground truthing points for
absolute vertical accuracy purposes. On a project level, a coverage check is carried out to ensure no slivers are present.
>Data Classification and Editing
The data was processed using the software TerraScan, and following the methodology described herein. The initial step is the setup of the
TerraScan project, which is done by importing client provided tile boundary index (converted to the native UTM zone for processing)encompassing
the entire project areas. The 3D laser point clouds, in binary format, were imported into the TerraScan project and divided in 409 Tiles as
specified by 133 Urban Area Ortho tiles in LAS 1.0 format. Once tiled, the laser points were classified using a proprietary routine in TerraScan.
This routine removes any obvious outliers from the dataset following which the ground layer is extracted from the point cloud. The ground
extraction process encompassed in this routine takes place by building an iterative surface model. This surface model is generated using three main
parameters: building size, iteration angle and iteration distance. The initial model is based on low points being selected by a "roaming window"
with the assumption is that these are the ground points. The size of this roaming window is determined by the building size parameter. The low
points are triangulated and the remaining points are evaluated and subsequently added to the model if they meet the iteration angle and distance
constraints. This process is repeated until no additional points are added within an iteration. A second critical parameter is the maximum terrain
angle constraint, which determines the maximum terrain angle allowed within the classification model. The data is then manually quality controlled
with the use of hillshading, cross-sections and profiles. Any points found to be of class vegetation, building or error during the quality control
process, are removed from the ground model and placed on the appropriate layer. An integrity check is also performed simultaneously to verify that
ground features such as rock cuts, elevated roads and crests are present. Once data has been cleaned and complete, it is then by a supervisor via
manual inspection and through the use of a hillshade mosaic of the entire project area.
2008-02-01T00:00:00
>Deliverable Product Generation
-Deliverable Tiling Scheme
All files were converted to LAS 1.1, in the specified projection and units and were delivered in the client provided tiling scheme with a
total of 409 tiles.
-LAS 1.1 Files
LiDAR point data in LAS 1.1, classified according to the following classification scheme:
Class 1 Non-ground/Extracted Features Last Pulse
Class 2 Bare Earth Ground Features Last Pulse
Class 3 Extracted Features First Pulse
Class 4 Bare Earth Ground Features First Pulse
The data contains the following fields of information (Precision reported in brackets):
Class (Integer), GPS WeekTime (0.0001 seconds), Easting (0.01 meter), Northing (0.01 meter), Elevation (0.01 meter), Echo Number (Integer 1 to 2),
Echo (Integer 1 to 2), Intensity (12 Bit Dynamic), Flightline, Scan Angle (Integer Degree)
All points outside project area were assigned to Class 1 - Non-Ground.
-GPS Trajectory Files
GPS Trajectory Files were provided in digital copy
-ABGPS/IMU Positions
ABGPS/IMU combined files containing time,x,y,z,kappa,phi,omega were provided in ASCII format. All positions were provided in NAD83 UTM18,
NAVD88(Geoid03), GPS seconds (reported to a 10th of a millisecond), meters (reported to a centimeter) for the XYZ and degrees for the
kappa,phi,omega (reported to 6 decimals of a degree).
2008-02-01T00:00:00
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained Lidar elevation and intensity measurements.
The data were in projected in UTM coordinates, Zone 18 (NAD83), and referenced to the orthometric datum of NAVD88 utilizing Geoid 03.
OCM performed the following processing to the data to make it available within the Digital Coast:
1. The data were converted from UTM Zone 18 (NAD83) coordinates to geographic coordinates (NAD83).
2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03.
3. The LAS data were reclassifed from 4 to 2 classes:
- Class 1, Non-ground/Extracted Features Last Pulse; Extracted Features First Pulse
- Class 2, Bare Earth Ground Features Last Pulse; Bare Earth Ground Features First Pulse
4. The LAS data were sorted by latitude and the headers were updated.
2010-08-27T00:00:00