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                        <gco:CharacterString>Data acquisition - This lidar survey was flown on September 7, 2019 at an average elevation of 130 m above ground level and a ground speed of approximately 30 m/s with a helicopter configuration, using a Bell 206 JetRanger. Elevation data were acquired with a Riegl VUX1-LR laser scanner integrated with a GNSS and Northrop Grumman IMU system. The integration was designed by Phoenix LiDAR systems. Lidar data were acquired at a pulse rate ranging from 50,000 pulses per second in the alpine areas to 400,000 pulses per second over forested areas, a scan rate of 200 revolutions per second, and a scan angle range of 80-280 degrees.</gco:CharacterString>
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                        <gco:CharacterString>Ground survey - Ground control and checkpoints were collected on October 24, 2019. A Trimble R7 GNSS receiver with Zephyr-2 antenna was deployed near the center of the study area. It provided a base station occupation and real-time kinematic (RTK) corrections to points surveyed with a rover Trimble R8-4 GNSS receiver (internal antenna). 76 ground control points and checkpoints were collected to be used for calibration and assessment of the vertical accuracy of the point cloud. All points were collected on a paved road surface.</gco:CharacterString>
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                        <gco:DateTime>2019-10-24T00:00:00</gco:DateTime>
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                        <gco:CharacterString>Point classification - Raw data were processed using Terrasolid software to produce integrated files for navigation correction and a point cloud for calibration. The navigation was corrected using Inertial Explorer software. The software integrates the GNSS and IMU data to establish the correct flight path and orientation of the lidar sensor. Internal consistency within the dataset was improved by calibrating the point cloud data using global, flight line, and fluctuation (within individual flightlines) tielines in TerraSolid software. The point cloud data were classified for ground points as well as low, medium, and high vegetation (0.01-0.5 m, 0.5-3 m, and 3-60 m heights above the ground, respectively). Some manual processing was required to eliminate erratically placed points and misclassified ground points. All low points and air points were eliminated from the dataset.</gco:CharacterString>
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                     <gmd:dateTime>
                        <gco:DateTime>2020-01-01T00:00:00</gco:DateTime>
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                        <gco:CharacterString>Raster products - A LAS dataset was created in ArcMap, from which a 50-cm DTM, 50-cm DSM, and 1-m intensity image were produced. The DTM was derived from elevation values of Ground-classified points only and built using the binning technique of minimum elevation and linear void fill. The DTM was derived from elevation values from first returns from the Grounds, Low Vegetation, Medium Vegetation, or High Vegetation classes, and built using the binning technique of average elevation values and linear void fill. The intensity image was derived from the intensity values of the first return points.</gco:CharacterString>
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                     <gmd:dateTime>
                        <gco:DateTime>2020-01-01T00:00:00</gco:DateTime>
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            <gco:CharacterString>Metadata Use Constraints: If the user has modified the data in any way they are obligated to describe the types of modifications they have performed in the supporting metadata file. User specifically agrees not to imply that changes they made were approved by the Alaska Department of Natural Resources or Division of Geological &amp; Geophysical Surveys.</gco:CharacterString>
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