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                    <gmd:CI_Contact>
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              <gmd:date>
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          <gmd:useLimitation>
            <gco:CharacterString>The National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) is publishing this data on their website. NCCOS Biogeography Branch does not guarantee the accuracy of the geographic features or attributes. Please see the written report and metadata records for each data set for complete information on the source, limitations, and proper use.</gco:CharacterString>
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      <!--Entity Type Definition Source not translated: 
          None
        -->
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        <gmi:MI_RangeElementDescription>
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          <!--Attribute Definition Source not translated: ESRI-->
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            <gco:Record>Sequential unique whole numbers that are automatically generated.</gco:Record>
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            <gco:CharacterString>Feature geometry.</gco:CharacterString>
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          <gmi:rangeElement>
            <gco:Record>Coordinates defining the features.</gco:Record>
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            <gco:Record>Unknown</gco:Record>
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            <gco:Record>Arbitrarily defined unique code | Specific to this field mission</gco:Record>
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          <!--Attribute Definition Source not translated: NOAA-->
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            <gco:Record>Variable</gco:Record>
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            <gco:Record>Unknown</gco:Record>
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            <gco:Record>Unknown</gco:Record>
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            <gco:Record>Unknown</gco:Record>
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          <!--Attribute Definition Source not translated: Refer to Chapter 1: Benthic Habitat Classification Scheme of "Moderate-Depth Benthic Habitats of St. John, U.S. Virgin Islands" (Costa et al. 2009)-->
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          <!--Attribute Definition Source not translated: NOAA-->
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            <gco:Record>Unknown</gco:Record>
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            <gco:Record>Unknown</gco:Record>
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            <gco:CharacterString>299 field positions were occupied and habitat characterizations were conducted for accuracy assessment during this work. These data were plotted in concert with remotely sensed imagery to assess the benthic habitat classifications at random locations throughoout the map. Further analysis was conducted to calculate a suite of thematic accuracy assessment metrics and is described in Costaet al. (2009).</gco:CharacterString>
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            <gco:CharacterString>Data points with accompanying attribute information were collected with mapping-grade GPS receivers. The data were post processed for differential correction to the Continually Operating Reference System (CORS) station at St. Thomas, U.S. Virgin Islands (VITH). Site information was recorded in the field both in a data dictionary within the GPS receiver and on waterproof field sheets. A comparison between soft and hard copy data records were completed to ensure attribute collection consistency. Furthermore, underwater video was recorded at each site to maintain a record of habitat condition. This video was reviewed by NOAA staff in the office to ensure correct habitat attribution was made in the field. All errors were identified through these quality assurance techniques and corrected. This file is believed to be logically consistent.</gco:CharacterString>
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                <gco:CharacterString>A benthic habitat map was generated from acoustic imagery and ground validation points using a combination of semi-automated classification and visual interpretation techniques. Target locations for the accuracy assessment of this habitat map were determined by an iterative, GIS-based, stratified random sampling technique to ensure that all bottom classifications would be assessed. Based on guidelines from other recent accuracy assessment analyses (Battista et al. 2007), a minimum of 25 points were assigned to each of the detailed structure classes within the draft habitat map. Additional points were distributed based on the proportion of area of each structure class in the map. Points were randomly placed within each class using Hawth's Analysis Tools (Beyer, 2004) in ArcGIS. Next, the number of points that fell within each detailed primary cover class was calculated. Where necessary, additional points were randomly added and re-distributed from classes with many points to ensure that there was a minimum of 25 points within each detailed cover class.</gco:CharacterString>
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                <gco:DateTime>2009-01-01T00:00:00</gco:DateTime>
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          <gmd:processStep>
            <gmi:LE_ProcessStep>
              <gmd:description>
                <gco:CharacterString>NOAA field scientists explored the accuracy assessment locations with a suite of assessment techniques depending on the conditions at each site. Sample locations were navigated to using a hand-held Garmin 76 CS WAAS-enabled GPS unit. Underwater video from a SeaViewer Sea-Drop 950 camera was taken at each site. A weight was tied to the bottom of the camera to help lower the camera to the bottom, and the camera operator adjusted the camera position to get a downward and side view of the habitat at each location. Video length depended on the habitat type and vessel drift, ranging from approximately 30 seconds to two minutes. Videos of large, homogeneous sand habitats were generally short while heterogeneous coral reef habitats (especially edges) were typically longer. While the video was being recorded, GPS waypoints were recorded on board the vessel using a Trimble GeoXT GPS receivers. This resulted in a string of epics that tracked boat position at each site. An observer categorized each site according to the video for each level of the map classification scheme: major/detailed geomorphological structure, major/detailed biological cover, and percent coral. Data was entered into a custom data dictionary on the Trimble data logger and recorded on waterproof data sheets.</gco:CharacterString>
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