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            <gco:CharacterString>No formal thematic accuracy assessment was conducted due to the reliance on existing data and the significant time gap between data collection and the mapping project. Underwater videography from 2008 to 2013 (U.S. Geological Survey) and 2010 (U.S. Environmental Protection Agency's National Aquatic Resource Surveys) guided the analysis of remotely sensed data and served as a quality control dataset for habitat mapping. Additionally, field observations made in August 2017 were used to compare map features with actual conditions. DEA and NOAA observed 41 points in the field, with underwater video collected at most of these sites. Side-scan sonar imagery was also collected along two transects south of the island for comparison with historical data. The instantaneous observation area for each video varied depending on altitude above the lakebed, attitude of the camera and water conditions. It was common for this do change during a single transect. Lengths of transects varied depending on the complexity of the bottom and habitats in the area.</gco:CharacterString>
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            <gco:CharacterString>Compiled to meet 10 meters horizontal accuracy at 95% confidence level.

Topo-bathy LIDAR collected by NOAA's Office for Coastal Management in 2016 was the reference data set for the benthic mapping. These data have reported horizontal accuracy of +/- 1 meter RMSE. No independent spatial accuracy test was performed on any of the other source data sets.

Navigation and position reporting for point drops and transects utilized a Wide Area Augmentation System (WAAS) GPS. This GPS typically provides data with an accuracy of less than 10 meters from the actual position.</gco:CharacterString>
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            <gco:CharacterString>Polygon topology is present. All polygons were tested for closure, and no dangles, slivers, or superfluous pseudo nodes were found. Each polygon is clearly labeled, with no multiple labels within a single polygon or contiguous polygons sharing the same label.

For this project a minimum mapping unit (MMU) of 100 square meters (10 meters by 10 meters) was applied. The identification and ranking of co-occurring elements was made based on the percent of spatial coverage within the polygon or MMU. The primary project area was waters surrounding South Manitou Island Michigan from the shore to the maximum extent of the source data, an estimated area of approximately 20 square miles.</gco:CharacterString>
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            <gco:CharacterString>These data are logically consistent</gco:CharacterString>
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                <gco:CharacterString>The CMECS biotic and substrate layers for South Manitou were developed using a multi-stage approach. Initially, a preliminary benthic map was created using Object-Based Image Analysis (OBIA) techniques, including image segmentation and classification. This map was then refined through field observations and visual interpretation to produce the final product.</gco:CharacterString>
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                <gco:DateTime>2017-01-01T00:00:00</gco:DateTime>
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              <gmd:description>
                <gco:CharacterString>Field point selection for this study was primarily based on existing draft benthic habitat maps. Individual point files were consolidated into a single master dataset, which was provided to staff prior to field operations. GPS navigation was used to reach each designated point in the field.

At each site, either a J.W. Fishers TOV-1 towed underwater video camera or a GoPro Hero 4 camera was deployed to the seabed, providing a real-time feed to the boat. Depending on the site, either a stationary point-drop or a drift transect was conducted. Drift transects were employed to examine multiple habitats and understand the transitions between signatures observed in the source data. Substrate, biota, and bottom character notes were captured as attributes within the field point dataset using ArcMap 10.5.

GoPro video, recorded to an internal SD card, is available for some points. These videos were edited to remove footage from descent and ascent through the water column. A GPS point record of the transect (breadcrumb trail) was captured in Arc to document the video's path. Occasionally, new points were observed based on findings elsewhere in the area.

On August 9th, side-scan sonar backscatter imagery was collected along a track southeast of the island. This data was gathered for comparison with existing data used for mapping purposes. Upon returning to the lab, the video footage was reviewed by the team and CMECS attributes were assigned.</gco:CharacterString>
              </gmd:description>
              <gmd:dateTime>
                <gco:DateTime>2017-08-01T00:00:00</gco:DateTime>
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          </gmd:processStep>
          <gmd:processStep>
            <gmd:LI_ProcessStep>
              <gmd:description>
                <gco:CharacterString>Standardized common design elements, cleaned up field content, repaired geometry, and projected to NAD83.</gco:CharacterString>
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              <gmd:dateTime>
                <gco:DateTime>2025-08-01T00:00:00</gco:DateTime>
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                <gco:CharacterString>Source Contribution: The acoustic backscatter, bathymetry, LIDAR intensity, underwater video and aerial imagery all contributed to the development of the final benthic habitat map in different ways and in various portions of the study area. Consideration of the age, spatial coverage, resolution, and data type all determined how each data set would be used to derive the final product.</gco:CharacterString>
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                  <gmd:title>
                    <gco:CharacterString>NOAA OCM Lidar</gco:CharacterString>
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                  <gmd:date gco:nilReason="missing" />
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                <gco:CharacterString>Source Contribution: A draft benthic habitat map was used to guide selection of field points to be visited.</gco:CharacterString>
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                    <gco:CharacterString>Phase 2 CMECS Habitat Map Products report</gco:CharacterString>
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                        <gco:CharacterString>David Evans and Associates, Inc.</gco:CharacterString>
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