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OCM Metadata Library > Lidar >

2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR

Data Set (DS)  |  Office for Coastal Management (OCM)
GUID: gov.noaa.nmfs.inport:57318  |  Updated: October 17, 2023  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Data Quality
Data Management
Lineage
Catalog Details

Summary

Browse graphic

Short Citation
Office for Coastal Management, 2024: 2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR, https://www.fisheries.noaa.gov/inport/item/57318.
Full Citation Examples

Abstract

In April 2019, Quantum Spatial (QSI) was contracted by The National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM) in partnership with the Great Bay National Estuarine Research Reserve (GBNERR) to collect high resolution Light Detection and Ranging (LiDAR) data in the spring of 2019 for four research sites within the GBNERR in New Hampshire. These four sites are “Sentinel Sites” within the GBNERR where vegetation and elevation parameters have previously been continuously monitored and surveyed using traditional methods that require extensive person hours and manual labor.

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

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.

  • 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.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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 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

-70.921316° W, -70.828822° E, 43.140211° N, 43.039191° S

Time Frame 1
2019-05-01

Site 2

Time Frame 2
2019-05-07

Site 1

Time Frame 3
2019-05-08

Site 3

Time Frame 4
2019-05-09

Site 4

Item Identification

Title: 2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR
Short Name: nh2019_great_bay_m8844
Status: Completed
Creation Date: 2019-08-27
Abstract:

In April 2019, Quantum Spatial (QSI) was contracted by The National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM) in partnership with the Great Bay National Estuarine Research Reserve (GBNERR) to collect high resolution Light Detection and Ranging (LiDAR) data in the spring of 2019 for four research sites within the GBNERR in New Hampshire. These four sites are “Sentinel Sites” within the GBNERR where vegetation and elevation parameters have previously been continuously monitored and surveyed using traditional methods that require extensive person hours and manual labor.

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.
Purpose:

Data were collected to aid NOAA & GBNERR in assessing the viability of using non-invasive remote sensing survey techniques to monitor these sentinel sites and reduce the impacts of traditional survey techniques on the marsh environment.

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 > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None erosion
None Estuarine
None National
None NERR
None Research
None Reserve
None UAS
None UAV

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW HAMPSHIRE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

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
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Great Bay NERR, NOAA, the Office for Coastal Management or its partners.
Data Set Credit: NOAA OCM

Support Roles

Data Steward

CC ID: 870058
Date Effective From: 2019
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: 870059
Date Effective From: 2019
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: 870060
Date Effective From: 2019
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: 870061
Date Effective From: 2019
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: 1142683
W° Bound: -70.921316
E° Bound: -70.828822
N° Bound: 43.140211
S° Bound: 43.039191

Extent Group 1 / Time Frame 1

CC ID: 1142679
Time Frame Type: Discrete
Start: 2019-05-01
Description:

Site 2

Extent Group 1 / Time Frame 2

CC ID: 1142680
Time Frame Type: Discrete
Start: 2019-05-07
Description:

Site 1

Extent Group 1 / Time Frame 3

CC ID: 1142681
Time Frame Type: Discrete
Start: 2019-05-08
Description:

Site 3

Extent Group 1 / Time Frame 4

CC ID: 1142682
Time Frame Type: Discrete
Start: 2019-05-09
Description:

Site 4

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: 870053
Point Object Present?: Yes
Point Object Count: 157402273

Reference Systems

Reference System 1

CC ID: 1142677

Coordinate Reference System
CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
▾ See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and 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: 870063
Start Date: 2019-08-27
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8844
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - 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.
File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 870064
Start Date: 2019-08-27
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8844/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - 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.
File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 870055
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: 870056
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8844/supplemental/nh2019_great_bay_m8844.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: 870057
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8844/supplemental/NOAA_Great_Bay_LiDAR_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 870167
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8844
URL Type:
Online Resource
Description:

Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set.

Data Quality

Vertical Positional Accuracy:

Non-vegetated Vertical Accuracy was assessed using 20 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data.

The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.069 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.

Vegetated Vertical Accuracy was assessed using 8 VVA check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data.

The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.116 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Completeness Report:

Flight plans are designed with sufficient sidelap to ensure there are no gaps between flightlines. Shaded relief images have been visually inspected for gaps.

LiDAR data has been collected and processed for all areas within the project study area.

Data was examined at a 1:2000 scale. Relative accuracy of the flightlines was assessed in Microstation using TerraMatch.
Quality Control Procedures Employed:

Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flightlines have been examined to ensure consistent elevation values across overlapping flightlines. The Root Mean Square Error (RMSE) of line to line relative accuracy for this dataset is 0.025 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.

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

Process Steps

Process Step 1

CC ID: 1142674
Description:

Acquisition. Air Shark collected the NOAA Great Bay UAS LiDAR data on behalf of Quantum Spatial between 05/01/2019 and 05/09/2019. The survey used a Riegl MiniVUX-1UAV laser system mounted in a DJI Matrice 600. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Riegl MiniVUX-1UAV Maximum returns: 5 Nominal pulse density: 8 pulses/m^2 Nominal pulse spacing: 0.35 m AGL: 60 m Speed: 7.775 knots FOV: 90 degrees Scan frequency: 40.38 hz Pulse rate: 100 kHz Pulse width: 9.6 cm x 3.0 cm Wavelength: 905 nm Pulses in air mode: Linear Mode LiDAR Beam divergence: 1.6 mrads x 0.5 mrads Swath width: 120 m Overlap: 50%
Process Date/Time: 2019-05-09 00:00:00

Process Step 2

CC ID: 1142675
Description:

1. Flightlines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using POSPac MMS v.8.3, RiProcess v.1.8.5 and TerraScan v.19.005, TerraMatch v.19.002, TerraModeler v.19.005 software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flightlines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flightlines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll, and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using post-processing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the ground survey points collected to verify the vertical accuracy. 9. QSI Proprietary software LASMonkey 2.4.1 was then used to filter the points into their final deliverable ASPRS classification (1 - Default, 1o - Default (Overlap Flag), 2 - Ground, 7 - Noise).
Process Date/Time: 2019-07-01 00:00:00

Process Step 3

CC ID: 1142676
Description:

The NOAA Office for Coastal Management (OCM) received 4 las files in las 1.2 format from Quantum Spatial. The files contained lidar intensity and elevation measurements for the project area. Horizontal positions were provided in UTM Zone 19 NAD83(2011), meters coordinates. Vertical positions were provided in NAVD88 (Geoid12b) elevations and in meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from UTM to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights to NAD83(2011) ellipsoid heights using Geoid12b grids.

3. Assigned the geokeys, sorted the data by gps time and copied the data to database and to https.
Process Date/Time: 2019-08-27 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 57318
GUID: gov.noaa.nmfs.inport:57318
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2019-08-27 11:21+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: OCM
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