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Summary

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Short Citation
OCM Partners, 2024: 2019 USGS Lidar: South New Jersey, https://www.fisheries.noaa.gov/inport/item/63238.
Full Citation Examples

Abstract

This metadata record describes the lidar point cloud data encompassing Southern New Jersey, collected as 2 areas of interest through the USGS projects titled 'NJ South 4-County' and 'NJ South FEMA' by the Sanborn Map Company, Inc. NOAA's Office for Coastal Management retrieved the data from the USGS' rockyftp website and processed it to the Digital Coast.

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3,094 individual 5000 x 5000 foot tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.

Geographic Extent: Atlantic, Cape May, Cumberland, Salem counties New Jersey, covering approximately 2,561 square miles.

Dataset Description: USGS South NJ Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane New Jersey, feet and vertical datum of NAVD88 (GEOID12B), feet. The Riegl VQ-1560i sensor was used to collect data for the aerial survey campaign. The sensor is attached to the aircraft’s underside and emits rapid laser pulses that are used to calculate ranges between the aircraft and subsequent terrain below. Lidar data was delivered as processed Classified LAS 1.4 files.

Ground Conditions: Lidar was collected in early 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc. established a total of 20 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 97 independent accuracy check points, 56 in Open Terrain/Bare-Earth and Urban landcovers (56 NVA points), 41 in Grass, Brush and Trees categories (41 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.

Distribution Information

  • Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

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

COASTAL BATHYMETRY, COASTAL ELEVATION, elevation, TERRAIN 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

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

Extents

Geographic Area 1

-75.5736209863° W, -74.2948337836° E, 39.7893320824° N, 38.926721708° S

Time Frame 1
2019-03-08 - 2019-04-23

Item Identification

Title: 2019 USGS Lidar: South New Jersey
Status: Completed
Publication Date: 2020-06-30
Abstract:

This metadata record describes the lidar point cloud data encompassing Southern New Jersey, collected as 2 areas of interest through the USGS projects titled 'NJ South 4-County' and 'NJ South FEMA' by the Sanborn Map Company, Inc. NOAA's Office for Coastal Management retrieved the data from the USGS' rockyftp website and processed it to the Digital Coast.

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3,094 individual 5000 x 5000 foot tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.

Geographic Extent: Atlantic, Cape May, Cumberland, Salem counties New Jersey, covering approximately 2,561 square miles.

Dataset Description: USGS South NJ Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane New Jersey, feet and vertical datum of NAVD88 (GEOID12B), feet. The Riegl VQ-1560i sensor was used to collect data for the aerial survey campaign. The sensor is attached to the aircraft’s underside and emits rapid laser pulses that are used to calculate ranges between the aircraft and subsequent terrain below. Lidar data was delivered as processed Classified LAS 1.4 files.

Ground Conditions: Lidar was collected in early 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc. established a total of 20 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 97 independent accuracy check points, 56 in Open Terrain/Bare-Earth and Urban landcovers (56 NVA points), 41 in Grass, Brush and Trees categories (41 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.

Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Rasters, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These lidar point cloud data were used to create intensity rasters, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

TASK ORDER: 140G0218F0164 USGS CONTRACT: G16PC00051 CONTRACTOR: Sanborn Map Company, Inc. Lidar data were acquired by Aerial Imaging, Inc.. All follow-on processing was completed by the Sanborn Map Company, Inc..

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3",

"ldrsens" : "Riegl VQ-1560i",

"ldrmaxnr" : "15",

"ldrnps" : "0.5",

"ldrdens" : "4.1",

"ldranps" : "0.5",

"ldradens" : "4.1",

"ldrfltht" : "1700",

"ldrfltsp" : "160",

"ldrscana" : "60",

"ldrscanr" : "232",

"ldrpulsr" : "1000",

"ldrpulsd" : "4",

"ldrpulsw" : "0.36",

"ldrwavel" : "1064",

"ldrmpia" : "2",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1905",

"ldrswato" : "30",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"

},

"ldraccur" : {

"ldrchacc" : "0.5",

"rawnva" : "0.238",

"rawnvan" : "56",

"clsnva" : "0.240",

"clsnvan" : "56",

"clsvva" : "0.249",

"clsvvan" : "41"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridges"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW JERSEY
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > New Jersey > U.S. Coastline
None Continent > North America > United States Of America > New Jersey > Atlantic
None Continent > North America > United States Of America > New Jersey > Cape May
None Continent > North America > United States Of America > New Jersey > Cumberland
None Continent > North America > United States Of America > New Jersey > Salem

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
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: USGS, Sanborn Map Company, Inc.

Support Roles

Data Steward

CC ID: 995344
Date Effective From: 2020
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: 995343
Date Effective From: 2020
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: 995345
Date Effective From: 2020
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: 995346
Date Effective From: 2020
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: 1145342
W° Bound: -75.5736209863
E° Bound: -74.2948337836
N° Bound: 39.7893320824
S° Bound: 38.926721708

Extent Group 1 / Time Frame 1

CC ID: 1145341
Time Frame Type: Range
Start: 2019-03-08
End: 2019-04-23

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 995336
Point Object Present?: Yes
Point Object Count: 80628852467

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

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: 995350
Start Date: 2020-11-24
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9202/details/9202
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 995351
Start Date: 2020-11-24
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9202/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 995338
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 2

CC ID: 995339
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9202/supplemental/extent_2018_s_nj_lidar_m9202.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 995340
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9202/supplemental/NJ_South_Jersey_FEMA_2018_QA_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 995341
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9202/supplemental/South_NJ_Lidar_4-County_LidarReport.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 5

CC ID: 995342
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9202/supplemental/South_NJ_Lidar_FEMA_LidarReport.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 6

CC ID: 1069825
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9202/supplemental/NJ_South_Jersey_Lidar_2018_B18_WP_Report.pdf
Name: USGS Work Package Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.

Data Quality

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

The vendor-reported accuracies, taken from the project reports, are as follows:

For the FEMA portion AOI the NVA of the Point Cloud, using 24 GCPs, RMSEz = 0.182 feet (0.0554 meters).

For the 4-County portion AOI the NVA of the Point Cloud, using 56 GCPs, RMSEz = is 0.122 feet (0.03718 meters).

USGS Determined Vertical Accuracy (4-County portion)

NVA = 7.31 cm at 95% Confidence Level (3.73 cm RMSE)

VVA = 7.58 cm at 95th Percentile

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data covers the 4-County area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

Ground Control for USGS South NJ Lidar Project

CC ID: 1145336
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Schonegg Inc.
Publish Date: 2019-01-01
Extent Type: Discrete
Extent Start Date/Time: 2019
Scale Denominator: 50
Source Contribution:

This data source was used (along with airborne GNSS/IMU data) to georeference the lidar point cloud data.

Process Steps

Process Step 1

CC ID: 1145337
Description:

The following steps describe the Raw Data Processing and Calibration process: 1) Technicians processed the raw data to LAS format flight lines using the ABGNSS/IMU solution. 2) Technicians use TerraSolid TerraMatch to calculate initial calibration adjustment angles by mission and/or block. This is accomplished by identifying ground and above ground feature observations between flight-lines and calculating the offsets. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable. 3) Once the angle calculation was completed the adjusted settings were applied to all of the flight-lines of the mission and/or block and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight-line overlaps match and adjusted as necessary until the results met the project specifications. 4) The technicians checked and corrected the vertical misalignment of all flight-lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the calibrated point cloud against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification v1.3, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.

Process Date/Time: 2019-01-01 00:00:00
Source: Ground Control for USGS South NJ Lidar Project

Process Step 2

CC ID: 1145338
Description:

LAS Point Classification: The point classification is performed as described below. The bare-earth surface is manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is edited and QC'd, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and River Pond hydro flattening breaklines were then classified to water (ASPRS Class 9) using LP360 functionality. A buffer of 2 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and River Stream Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight-line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper is used as a final check of the bare-earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for the Classified Point Cloud Data. LAStools, LP360 and TerraScan software was used to perform statistical analysis of the classes in the LAS files, on a per tile level to verify classification metrics and full LAS header information.

Process Date/Time: 2020-01-16 00:00:00

Process Step 3

CC ID: 1145339
Description:

The NOAA Office for Coastal Management (OCM) downloaded this data set from these 2 USGS sites:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/NJ_South_Jersey_Lidar_2018_B18/ & /NJ_South_Jersey_Lidar_2018_B18_FEMA/

The total number of files downloaded and processed was 3,094.

The data were in New Jersey State Plane zones, (NAD83 2011), U.S. Feet coordinates and NAVD88 (Geoid12B) elevations in U.S Feet. The data were classified as: 1 - Unclassified, 2 - Ground,, 7 - Noise, 9 - Water, 17 - Bridge Decks, and 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV).

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from New Jersey State Plane (NAD83 2011), U.S. Feet coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 63238
GUID: gov.noaa.nmfs.inport:63238
Metadata Record Created By: Blake Waring
Metadata Record Created: 2020-11-24 14:58+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+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