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dataset
Quantum Spatial
1100 Circle Blvd. Suite 126
Corvallis
OR
97330
US
541-752-1204
http://www.quantumspatial.com
Quantum Spatial
Quantum Spatial
10/07/2020
Raster Dataset
1
Cliff Baker
Alaska Department of Natural Resources
550 W. 7th Avenue, Suite 650
Anchorage
Alaska
99501
clifford.baker@alaska.gov
US
907-269-8522
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.8.0.29751
Nenana_Totchaket_2020_dtm
raster digital data
Quantum Spatial
1100 Circle Blvd. Suite 126
Corvallis
OR
97330
US
541-752-1204
http://www.quantumspatial.com
Quantum Spatial
10/07/2020
1
-150.099179
-149.210887
64.759274
64.468171
Nenana-Totchaket Aerial Survey & Mapping lidar
07/11/2020
07/31/2020
Provide high resolution terrain elevation data from the Nenana-Totchaket Aerial Survey & Mapping dataset.
The hydro-flattened bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and anthropogenic features removed. It is derived from NIR lidar data using TIN processing of the ground point returns. All rivers greater than 30 meters in width and lakes at least 150 square meters in size have been flattened to consistent elevations. Water boundary polygons were developed using an algorithm which weights lidar-derived slopes, intensities, and return densities to detect the water's edge. Elevation values were then assigned to the water's edge from the lidar data creating 3D breaklines enforced during model creation to flatten water bodies. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. under dense vegetation). The horizontal datum for this dataset is NAD83 (2011), the vertical datum is NAVD88, Geoid 12B, and the data is projected in UTM Zone 6. Units are in Meters. Quantum Spatial collected the Nenana-Totchaket Aerial Survey & Mapping lidar data for Alaska Department of Natural Resources between 07/11/2020 and 07/31/2020.
Alaska Department of Natural Resources
lidar
Light Detection and Ranging
elevation data
topography
bare earth
hydro-flattened
breaklines
DEM
digital elevation model
Nenana
Alaska
Yukon-Koyukuk
lidar, Light Detection and Ranging, elevation data, topography, bare earth, hydro-flattened, breaklines, DEM, digital elevation model
Nenana
Alaska
Yukon-Koyukuk
1m
This data is assembled in 750 m x 750 m tiles and projected in UTM Zone 6.
Cliff Baker
Alaska Department of Natural Resources
550 W. 7th Avenue, Suite 650
Anchorage
Alaska
99501
clifford.baker@alaska.gov
US
907-269-8522
Cliff Baker
Please contact Alaska Department of Natural Resources for information regarding the use of this data.
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the lidar data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces are derived from waters edge breaklines. Triangles were created across water surfaces by interpolating from the nearest breakline elevation points.
Lidar data has been collected and processed for all areas within the project study area.
Flight plans are designed with sufficient sidelap to ensure there are no gaps between flightlines. Shaded relief images have been visually inspected for gaps.
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 0.014 m. Please see the lidar data report for a discussion of the statistics related to this dataset.
Data was examined at a 1:2000 scale. Relative accuracy of the flightlines was assessed in Microstation using TerraMatch.
RMSE
m
0.014 m
The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.038 m. Please see the lidar data report for a discussion of the statistics related to this dataset.
Non-vegetated Vertical Accuracy was assessed using 22 ground check points. These check points were not used in the calibration or post processing of the lidar point cloud data.
NVA
m
0.038 m
The Vegetated Vertical Accuracy (VVA) of this dataset, evaluated at the 95th percentile is 0.260 m. Please see the lidar data report for a discussion of the statistics related to this dataset.
Vegetated Vertical Accuracy was assessed using 13 VVA check points. These check points were not used in the calibration or post processing of the lidar point cloud data.
VVA
m
0.260 m
Acquisition. Quantum Spatial collected the Nenana-Totchaket Aerial Survey & Mapping lidar data between 07/11/2020 and 07/31/2020. The survey used a Leica ALS80 laser system mounted in a Cessna Caravan. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Leica ALS80
Maximum returns: 15
Nominal pulse density: 8 pulses/m^2
Nominal pulse spacing: 0.353 m
AGL: 1900 m
Speed: 140 knots
FOV: 40°
Scan frequency: 52 hz
Pulse rate: 579 kHz
Pulse duration: 2.5 ns
Pulse width: 32 cm
Wavelength: 1064 nm
Pulses in air mode: Multiple Pulses in Air
Beam divergence: 0.22 mrads
Swath width: 1383 m
Overlap: 60%
07/31/2020
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 8.8 and Leica CloudPro 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. TIN processing of the ground point returns with water's edge breaklines enforced was used to create this hydro-flattened bare earth DEM.
10/07/2020
Vertical accuracy was also assessed using ground control points that were used in the calibration and post processing of the lidar point cloud as they still serve as a good indication of the overall accuracy of the lidar dataset. The Root Mean Square Error (RMSE) of the vertical accuracy of the lidar dataset as compared to ground control points is 0.020. Please see the lidar data report for a discussion of the statistics related to this dataset.
8 ground control points were collected and utilized in the calibration and post processing of the lidar data point cloud.
RMSE
0.020
m
2
1
0
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False
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