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<delPoint>517 SW 2nd St., Suite 400</delPoint>
<city>Corvallis</city>
<adminArea>OR</adminArea>
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<delPoint>1424 9th Ave.</delPoint>
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<pubDate>2019-09-26T00:00:00</pubDate>
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<delPoint>517 SW 2nd St., Suite 400</delPoint>
<city>Corvallis</city>
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<idPurp>Provide support for high resolution terrain elevation data from the Jefferson County 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 County LiDAR Building Study Area. The LiDAR derived average building heights and lowest adjacent gradient (LAG) of each structure are provided with each polygon. The horizontal datum for this dataset is NAD83 (2011), the vertical datum is NAVD88, Geoid 12B, and the data is projected in Montana State Plane. Horizontal units are in international feet. Vertical units are in US Survey feet. Quantum Spatial collected the Jefferson County LiDAR data for Montana DNRC Water Resources Division between 09/25/2018 and 07/19/2019.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Montana DNRC Water Resources Division</idCredit>
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<keyword>Light Detection and Ranging</keyword>
<keyword>LiDAR</keyword>
<keyword>Building Polygons</keyword>
<keyword>Shapefile</keyword>
<keyword>Montana</keyword>
<keyword>Silver Star</keyword>
<keyword>Whitehall</keyword>
<keyword>Cardwell</keyword>
<keyword>Silver Bow</keyword>
<keyword>Wilow Creek</keyword>
<keyword>Three Forks</keyword>
<keyword>Manhattan</keyword>
<keyword>Radersburg</keyword>
<keyword>Jefferson</keyword>
<keyword>Boulder</keyword>
<keyword>Basin</keyword>
<keyword>Butte</keyword>
<keyword>Deer Lodge</keyword>
<keyword>Jefferson City</keyword>
<keyword>Clancy</keyword>
<keyword>Montana City</keyword>
<keyword>Helena</keyword>
<keyword>Helena West Side</keyword>
<keyword>Helena Valley Southeast</keyword>
<keyword>Winston</keyword>
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<keyword>Light Detection and Ranging, LiDAR, Building, Footprint, Shapefile</keyword>
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<keyword>Montana</keyword>
<keyword>Silver Star, Whitehall, Cardwell, Silver Bow, Wilow Creek, Three Forks, Manhattan, Radersburg, Jefferson, Boulder, Basin, Butte, Deer Lodge, Jefferson City, Clancy, Montana City, Helena, Helena West Side, Helena Valley Southeast, Winston</keyword>
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<suppInfo>This data is projected in Montana State Plane</suppInfo>
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<rpIndName>Steve Story</rpIndName>
<rpOrgName>Montana DNRC Water Resources Division</rpOrgName>
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<delPoint>1424 9th Ave.</delPoint>
<city>Helena</city>
<adminArea>Montana</adminArea>
<postCode>59620-1601</postCode>
<eMailAdd>sestory@mt.gov</eMailAdd>
<country>US</country>
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<LegConsts>
<useLimit>Please contact Montana DNRC Water Resources Division for information regarding the use of this data. </useLimit>
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<exDesc>Jefferson County LiDAR</exDesc>
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<tmBegin>2018-09-25T00:00:00</tmBegin>
<tmEnd>2019-07-19T00:00:00</tmEnd>
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<measDesc>The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.261 ft (0.080 m). 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 136 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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<quanValType>NVA</quanValType>
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<quanVal>0.261 ft (0.080 m)</quanVal>
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<measDesc>The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.902 ft (0.275 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.</measDesc>
<evalMethDesc>Vegetated Vertical Accuracy was assessed using 84 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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<quanVal>0.902 ft (0.275 m)</quanVal>
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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 v.8.6 and Leica Cloudpro v.1.2.4 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. 9. Buildings were extracted using automated routines. The average height above ground of the structure was applied as the PolygonZ value.</stepDesc>
<stepDateTm>2018-03-09T00:00:00</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Acquisition. Quantum Spatial collected the Jefferson County LiDAR data between 09/25/2018 and 07/19/2019. The survey used a Leica ALS80 and a Riegl VQ1560i laser system mounted in a Cessna Caravan. 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: 0.35 m
AGL: 1600 m
Speed: 140 knots
FOV: 30°
Scan frequency: 46 hz
Pulse rate: 345 kHz
Pulse duration: 3.0 ns
Pulse width: 35.2 cm
Wavelength: 1064 nm
Pulses in air mode: Multi Pulse in Air (2PiA)
Beam divergence: 0.22 mrads
Swath width: 857 m
Overlap: 60%
Sensor: Leica ALS80
Maximum returns: Unlimited
Nominal pulse density: 2 pulses/m^2
Nominal pulse spacing: 0.71 m
AGL: 2300 m
Speed: 140 knots
FOV: 30°
Scan frequency: 44 hz
Pulse rate: 240 kHz
Pulse duration: 3.0 ns
Pulse width: 50.6 cm
Wavelength: 1064 nm
Pulses in air mode: Multi Pulse in Air (2PiA)
Beam divergence: 0.22 mrads
Swath width: 1,232 m
Overlap: 30%
Sensor: Riegl VQ1560i
Maximum returns: Unlimited
Nominal pulse density: 2 pulses/m^2
Nominal pulse spacing: 0.71 m
AGL: 2300 m
Speed: 140 knots
FOV: 58.5°
Scan frequency: Uniform Point Spacing
Pulse rate: 350 kHz
Pulse duration: 2.5 ns
Pulse width: 41.4 cm
Wavelength: 1064 nm
Pulses in air mode: Multi Times Around (MTA)
Beam divergence: 0.18 mrads
Swath width: 2,576 m
Overlap: 20%
</stepDesc>
<stepDateTm>2019-07-19T00:00:00</stepDateTm>
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<report dimension="" type="DQConcConsis">
<measDesc>This shapefile was created by extracting LiDAR derived average elevations and applying them to each building polygon within the dataset.</measDesc>
</report>
<report dimension="" type="DQCompOm">
<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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