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Short Citation:
Office for Coastal Management, 2024: 2016 NOAA Topobathy Lidar: Upper Lake Michigan Islands, https://www.fisheries.noaa.gov/inport/item/48194.

Item Identification

Title: 2016 NOAA Topobathy Lidar: Upper Lake Michigan Islands
Short Name: mi2016_noaa_topobathy_upper_lake_mi_islands_m5182_metadata
Status: Completed
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

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

Keywords

Theme Keywords

Thesaurus Keyword
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
UNCONTROLLED
None 20151116
None 20151117
None 20151129
None 20151130
None 20151204
None 20151205
None 20160602
None 20160603

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
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

Data Steward

CC ID: 624329
Date Effective From: 2017-01-12
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: 624331
Date Effective From: 2017-01-12
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: 624332
Date Effective From: 2017-01-12
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: 624330
Date Effective From: 2017-01-12
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: 1138419
W° Bound: -86.184026
E° Bound: -85.129054
N° Bound: 45.870399
S° Bound: 44.962511

Extent Group 1 / Time Frame 1

CC ID: 1138418
Time Frame Type: Range
Start: 2015-11-16
End: 2016-06-03

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
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: 743901
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.

Distribution 2

CC ID: 743902
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.

URLs

URL 1

CC ID: 743904
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 743905
URL: https://coast.noaa.gov/dataregistry
URL Type:
Online Resource

URL 3

CC ID: 743906
URL: https://coast.noaa.gov
URL Type:
Online Resource

URL 4

CC ID: 743907
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5182/supplemental/mi2016_noaa_topobathy_upper_lake_mi_islands_m5182.kmz
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.

Activity Log

Activity Log 1

CC ID: 624366
Activity Date/Time: 2016-12-28
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 624365
Activity Date/Time: 2017-11-14
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 Log 3

CC ID: 717903
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743903
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

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.

Completeness Report:

Data covers the 3,361 tiles (500m x 500m tiles).

Conceptual Consistency:

Not applicable

Lineage

Process Steps

Process Step 1

CC ID: 1138415
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

Process Step 2

CC ID: 1138416
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

Catalog Details

Catalog Item ID: 48194
GUID: gov.noaa.nmfs.inport:48194
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 Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16