2016 USGS Lidar: Assateague Island, Maryland and Virginia, Post-Hurricane Hermine, 10-12 September 2016
OCM Partners
Data Set
(DS)
| ID: 56740
| Published / External
Created: 2019-06-24
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 56740
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2016 USGS Lidar: Assateague Island, Maryland and Virginia, Post-Hurricane Hermine, 10-12 September 2016 |
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Short Name | 2016 Hermine m8767 |
* Status | Completed |
Creation Date | Unknown |
Revision Date | Unknown |
• Publication Date | 2017-03-24 |
* » Abstract |
Binary point-cloud data were produced for Assateague Island, Maryland and Virginia, post-Hurricane Hermine, from remotely sensed, geographically referenced elevation measurements collected by Quantum Spatial using a Riegl VQ-880-G (532-nm wavelength circular scan and 1064-nm wavelength linear scan) lidar sensor. |
* Purpose |
The purpose of this project was to produce a highly detailed and accurate digital elevation map for Assateague Island, Maryland and Virginia for use as a management tool and to make these data available to natural-resource managers and research scientists. To ensure that SPCMSC data management protocols were followed, this survey was assigned a USGS field activity number (FAN), 16CNT03. Additional survey and data details are available at http://cmgds.marine.usgs.gov/fan_info.php?fan=16CNT03. USGS Contract: G16PC00016 Task Order Number: G16D01063 |
Notes | |
Other Citation Details | |
• Supplemental Information |
Processed data products are used by the U.S. Geological Survey (USGS) CMGP's National Assessment of Coastal Change Hazards project to quantify the vulnerability of shorelines to coastal change hazards such as severe storms, sea-level rise, and shoreline erosion and retreat. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey National Geospatial Program lidar Base Specification, Version 1.2", "ldrsens" : "Riegl VQ-880-G", "ldrmaxnr" : "Unlimited", "ldrnps" : "0.7", "ldrdens" : "2", "ldranps" : "0.7", "ldradens" : "2", "ldrfltht" : "500", "ldrfltsp" : "120", "ldrscana" : "40", "ldrscanr" : "160", "ldrpulsr" : "245", "ldrpulsd" : "1.3", "ldrpulsw" : "35", "ldrwavel" : "532", "ldrmpia" : "0", "ldrbmdiv" : "0.7", "ldrswatw" : "364", "ldrswato" : "50", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B" }, "ldraccur" : {
"ldrchacc" : "19.6", "rawnva" : "0.072", "rawnvan" : "13" }, "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" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "40", "clasitem" : "Bathymetric Bottom" }, "lasclass" : {
"clascode" : "41", "clasitem" : "Water Surface" }, "lasclass" : {
"clascode" : "45", "clasitem" : "Water Column" } }} |
DOI (Digital Object Identifier) | doi-F7NP22NH |
DOI Registration Authority | Unknown |
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 |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
Global Change Master Science Directory | DOI/USGS/CMG > COASTAL AND MARINE GEOLOGY |
Global Change Master Science Directory | OCEAN > COASTAL PROCESSES > BARRIER ISLANDS |
Global Change Master Science Directory | OCEAN > COASTAL PROCESSES > BEACHES |
Global Change Master Science Directory | OCEAN > COASTAL PROCESSES > SHORELINE DISPLACEMENT |
Global Change Master Science Directory | U.S. DEPARTMENT OF INTERIOR |
Global Change Master Science Directory | U.S. GEOLOGICAL SURVEY |
None | beach |
None | Cessna Caravan |
None | erosion |
None | extratropical cyclone |
None | shoreline |
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 |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Geographic Names Information System | Assateague Island |
Geographic Names Information System | Delmarva Peninsula |
Geographic Names Information System | Maryland |
Geographic Names Information System | United States |
Geographic Names Information System | Virginia |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords | Airplane > Airplane |
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 | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | binary point cloud |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
Distribution Liability |
Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. 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, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected. Sharing of new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Users should be aware that comparisons with other datasets for the same area from other periods may be inaccurate because of inconsistencies resulting from changes in photointerpretation, mapping conventions, and digital processes over time. These data are not legal documents and are not to be used as such., U.S. Geological Survey |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2018 |
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 |
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URL | https://coast.noaa.gov |
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Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2018 |
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 |
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URL | https://coast.noaa.gov |
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Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2018 |
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 |
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URL | https://coast.noaa.gov |
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* » Support Role | Point of Contact |
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* » Date Effective From | 2018 |
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 |
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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 | -75.42335013 |
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* » E° Bound | -75.07955612 |
* » N° Bound | 38.33510704 |
* » S° Bound | 37.83868211 |
* » 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 | 2016-09-10 |
End | 2016-09-12 |
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Description |
Spatial Information
Spatial Resolution
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Angular Distance Units | |
Horizontal Distance | 0.7 |
Horizontal Distance Units | Meter |
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Point Object Present? | Yes |
Point Object Count | 8874400323 |
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Reference Systems
Reference System
EPSG Code | EPSG:6319 | ||||||||||||||||||||||||||||
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Access Information
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Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
Data is available online for 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2018 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8767 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2018 - 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 Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
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Compression | Zip |
Review Status |
Start Date | 2018 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8767/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2018 - 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 Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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URLs
URL | https://coast.noaa.gov/ |
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Name | NOAA's Office for Coastal Management (OCM) website |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
Information on the NOAA Office for Coastal Management (OCM) |
URL | https://coast.noaa.gov/dataviewer/ |
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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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8767/supplemental/post_hermine_extent_m8767.kmz |
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Name | Browse graphic |
URL Type | Browse Graphic |
File Resource Format | KML |
Description |
This graphic displays the footprint for this lidar data set. |
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Technical Environment
Description |
Microsoft Windows 7 Enterprise Service Pack 1; Esri ArcCatalog 10.2.2.3552 |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
Quantum Spatial reports that the contract specifications required that raw Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, Vegetated Vertical Accuracy (VVA) was also to be computed from the derived DEMS. The NVA was tested with 13 independent check points provided to QSI by USGS located in open terrain, and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. The VVA was tested with 12 independent check points, also provided to QSI by USGS, located in vegetated terrain and also witheld from the calibration and post processing of the lidar point cloud data. VVA points were also distributed throughout the project area as feasible. Specifications for this project require that the NVA be 19.6 meters or better AccuracyZ at 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile. NVA Root Mean Square Error (RMSE) was calculated using the 13 independent check points provided by the USGS and resulted in a value of 0.072m.Qualitative value:0.072 meters AccuracyZ at the 95 percent Confidence Interval for Raw LAS NVA. 0.063 meters AccuracyZ at the 95 percent Confidence Interval for DEM NVA. 0.137 meters AccuracyZ at the 95th percentile for DEM VVA., Test that produced the value: Quantum Spatial reports that the 13 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the unclassified lidar surface were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.037 meters resulting in an AccuracyZ at the 95% confidence level of 0.072 meters. The 13 NVA check points were also compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.032 meters resulting in an AccuracyZ of 0.063 meters at the 95% confidence level. NVA AccuracyZ has been tested and meets the required 19.6 meter NVA at 95% confidence level using (RMSEz * 1.9600) for both the raw lidar point cloud and derived DEMs, as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The 13 VVA check points were also surveyed using the closed level loop technique. Elevations for these points were compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.078 meters resulting in an AccuracyZ of 0.137 meters at the 95th percentile. AccuracyZ has been tested on the derived bare earth DEMs and meets the required 29.4 meter VVA using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. |
Quantitation Limits | |
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Comparability | |
Completeness Measure | |
Precision | |
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Field Precision | |
Sensitivity | |
Detection Limit | |
Completeness Report |
Quantum Spatial reports that these LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. Lidar flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications. |
Conceptual Consistency |
Quantum Spatial reports that data cover the entire area specified for this project, approximately 52,196.2 acres. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» Is Access to the Data Limited Based on an Approved Waiver? | No |
» 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 | |
» 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 | |
» 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? |
Lineage
» Lineage Statement |
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Sources
Citation Title | USGS hosted original data |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
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Citation URL | http://cmgds.marine.usgs.gov/fan_info.php?fan=16CNT03 |
Citation URL Name | Field Activity Details for field activity 16CNT03 |
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Process Steps
Process Step Number | 1 |
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» Description |
Quantum Spatial reports the following steps for Lidar Pre-Processing: 1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a geoid correction. 5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Apply the refraction correction necessary for bathymetric data. Classify ground/bathymetric points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. |
Process Date/Time | 2016-11-30 00:00:00 |
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Source |
Process Step Number | 2 |
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» Description |
Quantum Spatial reports the following steps for Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate density information and verify final accuracy calculations for the project using ground control quality check points. |
Process Date/Time | 2016-11-30 00:00:00 |
Process Contact | |
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Source |
Process Step Number | 3 |
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» Description |
Data were received from Xan Fredericks of the USGS in LAS 1.4 format compressed with laszip as LAZ files. Data were converted from UTM coordinates with NAVD88 (GEOID12B) heights in meters to geographic coordinates and ellipsoid heights. Data were then ingested into the Digital Coast Data Access Viewer system. |
Process Date/Time | 2019-06-24 00:00:00 |
Process Contact | Waters, Kirk |
Phone (Voice) | |
Email Address | kirk.waters@noaa.gov |
Source | USGS hosted original data |
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Acquisition Information
Instruments
Identifier | Riegl VQ-880-G |
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Docucomp UUID | |
Instrument / Gear | Instrument |
Instrument Type | Topobathymetric lidar sensor |
Description |
The RIEGL VQ-880-G is a fully integrated airborne laser scanning system for combined hydrographic and topographic surveying. |
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Data Set (DS) | Cross Reference |
2016 USGS Lidar DEM: Assateague Island, Maryland and Virginia, Post-Hurricane Hermine, 10-12 September 2016 DEM derived from this point cloud |
Catalog Details
Catalog Item ID | 56740 |
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Metadata Record Created By | Kirk Waters |
Metadata Record Created | 2019-06-24 14:36+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 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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