Data Management Plan

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

Process Steps:

• 2016-07-01 00:00:00 - 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.
• 2016-12-14 00:00:00 - 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