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<delPoint>517 SW 2nd St., Suite 400</delPoint>
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<delPoint>1424 9th Ave.</delPoint>
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<postCode>59620-1601</postCode>
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<exDesc>Jefferson River Watershed LiDAR</exDesc>
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<tmBegin>2017-10-24T00:00:00</tmBegin>
<tmEnd>2017-10-27T00:00:00</tmEnd>
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<idPurp>Provide support for high resolution terrain elevation data from the Jefferson River Watershed LiDAR dataset. </idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This shapefile represents the 3D building footprints contained within the Jefferson River Watershed LiDAR Study Area. The LiDAR derived average building heights of each structure as well as the lowest adjacent gradient value (LAG) are provided within each polygon. The horizontal datum for this dataset is NAD83 (2011), the vertical datum is NAVD88, Geoid 12A, and the data is projected in Montana State Plane. Horizontal units are in International Feet and vertical units are in US Survey Feet. Quantum Spatial collected the Jefferson River Watershed LiDAR data for Montana Department of Natural Resources and Conservation between 10/24/2017 and 10/27/2017.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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<keyword>LiDAR</keyword>
<keyword>3D Building Footprints</keyword>
<keyword>Shapefile</keyword>
<keyword>Jefferson River</keyword>
<keyword>Montana</keyword>
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<keyword>Light Detection and Ranging, LiDAR, Boundary, Shapefile</keyword>
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<keyword>Jefferson River</keyword>
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<suppInfo>This data is projected in Montana State Plane</suppInfo>
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<measDesc>This shapefile was created by extracting LiDAR derived average elevations and applying them to each building polygon within the dataset.</measDesc>
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<measDesc>LiDAR data has been collected and processed for all areas within the project study area.</measDesc>
<evalMethDesc>Flight plans are designed with sufficient sidelap to ensure there are no gaps between flightlines. Shaded relief images have been visually inspected for gaps.</evalMethDesc>
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<measDesc>Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flightlines have been examined to ensure consistent elevation values across overlapping flightlines. The Root Mean Square Error (RMSE) of line to line relative accuracy for this dataset is 0.097 ft. Please see the LiDAR data report for a discussion of the statistics related to this dataset.</measDesc>
<evalMethDesc>Data was examined at a 1:2000 scale. Relative accuracy of the flightlines was assessed in Microstation using TerraMatch. </evalMethDesc>
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<quanVal>0.097 ft</quanVal>
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<measDesc>The final Non-vegetated Vertical Accuracy (NVA) of the Jefferson River Watershed dataset, tested at 95% confidence level is 0.302 ft. Please see the LiDAR data report for a discussion of the statistics related to this dataset.</measDesc>
<evalMethDesc>Non-vegetated Vertical Accuracy was assessed using 23 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data. </evalMethDesc>
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<measDesc>The final Vegetated Vertical Accuracy (VVA) of the Jefferson River Watershed dataset evaluated at the 95th percentile is 0.330 ft. Please see the LiDAR data report for a discussion of the statistics related to these datasets.</measDesc>
<evalMethDesc>Vegetated Vertical Accuracy was assessed using 15 VVA check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data. </evalMethDesc>
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<stepDesc>Acquisition. Quantum Spatial collected the Jefferson River Watershed LiDAR data between 10/24/2017 and 10/27/2017. The survey used a Leica ALS80 laser system mounted in a Cessna Caravan 208B. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Leica ALS80
Maximum returns: unlimited
Nominal pulse density: 8 pulses/m^2
Nominal pulse spacing: 0.354 m
AGL: 1700 m
Speed: 105 - 125 knots
FOV: 36°
Scan frequency: 45 hz
Pulse rate: 325 kHz
Pulse duration: 2.5 ns
Pulse width: 75 cm
Wavelength: 1064 nm
Pulses in air mode: Multiple Pulses in Air
Beam divergence: 22 mrads
Swath width: 1105 m
Overlap: 63%
</stepDesc>
<stepDateTm>2017-10-31T00:00:00</stepDateTm>
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<prcStep>
<stepDesc>1. Flightlines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using Waypoint Inertial Explorer and Leica Cloudpro software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flightlines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flightlines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll, and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using post-processing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the ground survey points collected to verify the vertical accuracy. </stepDesc>
<stepDateTm>2017-10-31</stepDateTm>
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