2016 NOAA Topobathy Lidar: Upper Lake Michigan Islands
Office for Coastal Management
Data Set
(DS)
| ID: 48194
| Published / External
Created: 2017-11-14
|
Last Modified: 2022-08-09
Project (PRJ) | ID: 37231
ID: 48194
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2016 NOAA Topobathy Lidar: Upper Lake Michigan Islands |
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Short Name | mi2016_noaa_topobathy_upper_lake_mi_islands_m5182_metadata |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2017-01-12 |
* » Abstract |
These data were collected by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric & Topographic Sensor. The project consists of approximately 205 square miles of data along the shores of the Beaver Island Archipelago and South Manitou Islands in Upper Lake Michigan. The data were acquired between November 16, 2015 through December 5, 2015 for Beaver Island, North Fox Island, Gull Island, High Island, Garden Island, and Isle Aux Galets. The data for South Manitou Island, South Fox Island and several smaller islands that needed to be re-acquired on Beaver Island due to data gaps, were acquired on June 2, 2016 and June 3, 2016. The data includes topobathy data classified as: created, never classified (0), unclassified (1), ground (2), bathymetric bottom (40), water surface (41), derived water surface (42), no bottom found (45) in accordance with project specifications. This dataset contains 3,361 500 m x 500 m lidar tiles. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs) at a 2 meter grid size are available. These data are available from the NOAA Digital Coast at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6195 Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), Office for Coastal Management Phone: 843-740-1202 |
* Purpose |
The Beaver Islands Archipelago and South Manitou Islands have been identified as having critical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps. |
Notes |
10217 |
Other Citation Details | |
• Supplemental Information |
The final report for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5182/supplemental/mi2016_noaa_topobathy_upper_lake_mi_islands_m5182_lidarreport.pdf |
DOI (Digital Object Identifier) | |
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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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
Temporal Keywords
Thesaurus | Keyword |
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None | 20151116 |
None | 20151117 |
None | 20151129 |
None | 20151130 |
None | 20151204 |
None | 20151205 |
None | 20160602 |
None | 20160603 |
* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN |
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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 | |
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Distribution Liability |
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, Office for Coastal Management or its partners. This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5182 |
Data Set Credit | We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation. |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2017-01-12 |
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 | 2017-01-12 |
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 | 2017-01-12 |
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 | 2017-01-12 |
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 | -86.184026 |
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* » E° Bound | -85.129054 |
* » N° Bound | 45.870399 |
* » S° Bound | 44.962511 |
* » Description |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2015-11-16 |
End | 2016-06-03 |
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Spatial Information
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Vector Representation Used? | Yes |
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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 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. |
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Distribution Information
Start Date | |
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» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5182 |
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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5182/index.html |
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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Name | |
URL Type | Online Resource |
File Resource Format | |
Description |
URL | https://coast.noaa.gov/dataregistry |
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URL Type | Online Resource |
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URL | https://coast.noaa.gov |
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URL Type | Online Resource |
File Resource Format | |
Description |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5182/supplemental/mi2016_noaa_topobathy_upper_lake_mi_islands_m5182.kmz |
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Name | Browse Graphic |
URL Type | Browse Graphic |
File Resource Format | kmz |
Description |
This graphic shows the lidar coverage for the 2015 - 2016 topobathy lidar acquisition for the islands in Upper Lake Michigan. |
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Activity Log
Activity Time | 2016-12-28 |
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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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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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Technical Environment
Description |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
Project specifications required horizontal positions to meet 1.0m RMSE. Independent horizontal accuracy testing requires photo-identifiable survey checkpoints, which is not always possible with elevation data. No photo-identifiable areas could be found in the lidar intensity imagery and horizontal accuracy could not be computed for the lidar data. The lidar data is compiled to meet the 1.0 m RMSE horizontal accuracy specification through rigorous processing of airborne GPS and IMU, use of control, and calibration procedures. |
Vertical Positional Accuracy |
The vertical accuracy of the topographic lidar was verified by Dewberry with 21 non-vegetated survey checkpoints and 12 vegetated survey checkpoints. The vertical accuracy is tested by comparing the control points to a triangulated irregular network (TIN) that is created from the lidar points. Control points are always compared to interpolated surfaces created from the lidar point cloud because it is unlikely that a control point will be located at the location of a discrete lidar point. Non-vegetated survey checkpoints were used to compute the Non-Vegetated Vertical Accuracy (NVA). Project specifications required a NVA of 19.6 cm at the 95% confidence level based on RMSEz (10 cm) x 1.9600. All vegetated survey checkpoints were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications required a VVA of 29.4 cm based on the 95th percentile. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz= 8.10 cm, equating to +/- 15.8 at 95% confidence level. Actual VVA accuracy was found to be +/- 22.7 cm at the 95th percentile. The 5% outliers consisted of 1 checkpoint that is larger than the 95th percentile. This checkpoint has a DZ value of 0.250 m. |
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Completeness Report |
Data covers the 3,361 tiles (500m x 500m tiles). |
Conceptual Consistency |
Not applicable |
» 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 | |
» 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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Process Steps
Process Step Number | 1 |
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» Description |
Data for the Beaver Island Archipelago and South Manitou Island project was acquired by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric and Topographic lidar sensor. All delivered lidar data is referenced to: Horizontal Datum-NAD83 (2011) epoch: 2010 Projection-UTM Zone 16 North Horizontal Units-meters Vertical Datum-NAVD88, GEOID12B Vertical Units-meters This dataset encompasses 3,361 500m x 500m tiles. Both green lidar data and NIR lidar data was acquired. Leading Edge Geomatics acquired, calibrated and performed the refraction correction to the lidar data. Dewberry received the calibrated green and NIR data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths as well as the relative accuracy of green swaths compared to overlapping and adjacent NIR swaths was verified through the use of Delta-Z (DZ) orthos created in GeoCue software. Intraswath or within a swath relative accuracy was verified using Quick Terrain Modeler. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths. Dewberry then verified absolute vertical accuracy of the swath data prior to full-scale production. Dewberry used ArcGIS to create 2-D breaklines. The bathymetric points exported by the Leica processing software were aggregated into polygons. These 2D breaklines representing the bathy areas were manually reviewed and adjusted where necessary to ensure all well-defined hydrographic features (at 1:1200-scale) were captured with breaklines. Dewberry used algorithms in TerraScan to create the initial ground/submerged topography surface. Dewberry used the 2-D breaklines to classify the bathymetric bottom and ground points properly in TerraScan. Dewberry filtered out an issue with artifacts caused by scanner noise for one mission in the project. The issue cause a single scan rotation of pulses to be much noisier and have a higher spatial distribution of bathymetric points. Dewberry used the neighboring less noisy points to help select the actual bathymetric points in these areas helping to remove the artifacts and create a smooth consistent transition from low noise to high noise areas. All lidar data was peer-reviewed. Dewberry's QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. GeoCue software was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data are in LAS format 1.4 and point data record format 6. The final classification scheme is as follows: 0-Created, never classified 1-Unclassified 2-Ground 40-Bathymetric bottom 41-Water surface 42-Derived water surface 43-Submerged object, not otherwise specified 44-International Hydrographic Organization (IHO) S-57 objects 45-No bottom found All data is then verified by an Independent QC department within Dewberry. The independent QC is performed by separate analysts who do not perform manual classification or editing. The independent QC involves quantitative and qualitative reviews. |
Process Date/Time | 2016-07-01 00:00:00 |
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Process Step Number | 2 |
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» Description |
The NOAA Office for Coastal Management (OCM) received 3361 files in las 1.4 format. The files contained lidar intensity and elevation measurements for the project area in upper Lake Michigan. Horizontal positions were provided in UTM Zone 16 coordinates, referenced to the North American Datum of 1983 National Adjustment of 2011 (NAD83 NA11). Vertical positions were referenced to NAVD88 (Geoid12b)and provided in meters. Data classification review showed that the only classifications present in the data are: 0 - never classified, 1 - unclassified, 2- ground, 40 - bathy bottom, 41 - water surface, 42 - derived water surface, 45 - no bathy bottom found. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. Removed elevation outliers below -105 meters ellipsoid height 2. Converted from UTM Zone 16 coordinates to geographic coordinates 3. Converted from NAVD88 elevations to ellipsoid elevations using Geoid12b 4. 4. Sorted by gpstime 5. Compressed the data using laszip |
Process Date/Time | 2016-12-14 00:00:00 |
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Acquisition Information
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Catalog Details
Catalog Item ID | 48194 |
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Metadata Record Created By | Anne Ball |
Metadata Record Created | 2017-11-14 14:19+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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