2017 NOAA/OCM Unmanned Aerial System Lidar DEM: Grand Bay NERR
Office for Coastal Management
Data Set
(DS)
| ID: 48368
| Published / External
Created: 2017-11-14
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Last Modified: 2022-08-09
Project (PRJ) | ID: 47844
ID: 48368
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2017 NOAA/OCM Unmanned Aerial System Lidar DEM: Grand Bay NERR |
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Short Name | 2017_gbnerr_uas_lidar_dem_m8387_metadata |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2017-10-15 |
* » Abstract |
Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for test sites within the Grand Bay National Estuarine Research Reserve (NERR) using an unmanned aerial system (UAS). Four sites were flown, covering a total of 177 acres. A fixed-wing PH Lancaster (revision 5) platform was used, carrying a Velodyne Puck VLP-16 based lidar system. The system provides 2 returns (strongest and last) with a pulse rate of 300 kHz using a 903 nm wavelength laser. Flights were conducted from May 9-11, 2017 and were flown at 50 meters above ground level. Specifications for the collection included 30 pulses per square meter and 0.10 meter RMSE vertical accuracy in non-vegetated areas. The average first return density was over 105 points per square meter with an average ground classified density of over 3 points per square meter. Deliverables included a 1-meter resolution bare-earth DEM in UTM zone 16 NAD83(2011). These data were ingested into the Digital Coast Data Access Viewer for custom processing. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov |
* Purpose |
Test the ability to provide lidar data from a UAS and determine if it is better able to penetrate marsh grasses. |
Notes |
11387 |
Other Citation Details | |
• Supplemental Information |
A final report for this project may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8386/supplemental/NOAA_UAS_Grand_Bay_LiDAR_Technical_Data_Report_Combined.pdf |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
None | Bare earth |
None | Bare ground |
None | Drone |
None | High-resolution |
None | Light Detection and Ranging |
None | UAS |
None | Unmanned Aerial System |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MISSISSIPPI |
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Physical Location
• » Organization | Office for Coastal Management |
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• » City | Charleston |
• » State/Province | SC |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
Distribution Liability |
Any conclusions drawn from the analysis of this information are not the responsibility of the Quantum Spatial, PrecisionHawk, the Office for Coastal Management, or its partners. |
Data Set Credit | DOGAMI |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2017-10-15 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2017-10-15 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2017-10-15 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2017-10-15 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -88.42051 |
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* » E° Bound | -88.41041 |
* » N° Bound | 30.41069 |
* » S° Bound | 30.35701 |
* » Description |
Extent Group 1 / Vertical Extent
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2017-05-09 |
End | 2017-05-11 |
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Spatial Information
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Spatial Representation
Grid Representation Used? | Yes |
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Access Information
* » Security Class | Unclassified |
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* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
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Distribution Information
Start Date | |
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» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8387 |
Distributor | |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
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» Download URL | https://coast.noaa.gov/htdata/raster2/elevation/NOAA_Grand_Bay_UAS_DEM_2017_8387 |
Distributor | |
File Name | Bulk Download |
Description |
Simple download of data files. |
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URLs
URL | https://coast.noaa.gov/dataviewer |
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URL Type | Online Resource |
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URL | https://coast.noaa.gov |
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Activity Log
Activity Time | 2017-09-25 |
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Description |
Date that the source FGDC record was last modified. |
Activity Time | 2017-11-14 |
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Responsible Party | |
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 Time | 2018-02-08 |
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Responsible Party | |
Description |
Partial upload of Positional Accuracy fields only. |
Activity Time | 2018-03-13 |
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Partial upload to move data access links to Distribution Info. |
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Issues
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Technical Environment
Description |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
unknown |
Vertical Positional Accuracy |
Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2014). The statistical model compares known ground survey points (GSPs) to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a "very high probability" that the sensor will measure the ground surface and is evaluated at the 95th percentile. For the Grand Bay NERR area, NOAA and Grand Bay NERR collected 106 points in non-vegetated areas for comparison. Analysis indicated a vertical RMSE of 0.072 meters. Non-parametric examination of the errors showed a 95% confidence level of 0.145 meters. ; Quantitative Value: 0.072 meters, Test that produced the value: Tested to meet FVA at a 95 percent confidence level in meters. |
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Completeness Report |
LiDAR data has been collected and processed for all areas within the project study area. |
Conceptual Consistency |
Upon receipt from vendor (Quantum Spatial), all LiDAR data was independently reviewed by staff from the NOAA Office for Coastal Management (OCM) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy. |
» Quality Control Procedures Employed |
Data Management
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» Do these Data Comply with the Data Access Directive? | |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» Actual or Planned Long-Term Data Archive Location | |
» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» Approximate Delay Between Data Collection and Archiving | |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Sources
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Process Steps
Process Step Number | 1 |
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» Description |
The LiDAR survey occurred between May 9, 2017 and May 11, 2017 using a Velodyne Puck VLP-16 laser system mounted in PrecisionHawk's Lancaster Rev 5 Dual-Frequency GPS UAS and flown by PrecisionHawk pilots. Upon completion of data acquisition, Precision Hawk processed SBETs and raw point data into geolocated swaths. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, and calculation of laser point position. Ground control data was collected by Precision Hawk to be used in the post-processing and calibration of the LIDAR flights. Following calibration, QSI initiated a suite of automated and manual techniques to classify the LiDAR points and create the requested deliverables. Processing methodologies were tailored for the landscape. Classifications were as follows: Unclassified (class 1) - Laser returns that are not included in the ground class or other vegetation classes, retained in order to avoid false vegetation classing within roads or other bare ground surfaces. Ground (class 2) - Laser returns that are determined to be ground using automated and manual cleaning algorithms. Low Noise (class 7) - Laser returns that are determined to be artificial points below the ground surface. Water (class 9) - Laser returns that are determined to be water using manual cleaning techniques. Near Ground Noise (class 14) - Laser returns that are determined to be artificial points between 0 and 20 meters above the ground surface. High Noise (class 18) - Laser returns that are determined to be artificial points, equal to or greater than 20 meters above the ground surface. |
Process Date/Time | 2017-01-01 00:00:00 |
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Process Step Number | 2 |
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» Description |
The NOAA Office for Coastal Management (OCM) received the digital elevation model files in img format. The data were in UTM zone 16 (NAD83 2011 Epoch 2010.0) and NAVD88 (Geoid12b) vertical meters. Files were ingested into the digital coast without modification. The data was received without a metadata record. This record was produced based on the data quality report. |
Process Date/Time | 2017-09-01 00:00:00 |
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Acquisition Information
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Child Items
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Catalog Details
Catalog Item ID | 48368 |
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Metadata Record Created By | Anne Ball |
Metadata Record Created | 2017-11-14 14:43+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 | OCM |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-03-16 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-03-16 |
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