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Headworks.SDE.Thalwegs
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1335050.836602
1416225.535455
679189.830449
698694.362989
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0.083
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GCS_NAD_1983_2011
Linear Unit: Meter (1.000000)
NAD_1983_2011_UTM_Zone_10N
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Esri ArcGIS 12.7.3.26828
Headworks.SDE.Thalwegs
vector digital data
2018-08-23
Quantum Spatial
1100 NE Circle Blvd. Ste. 126
Corvallis
OR
97330
US
541-752-1204
http://www.quantumspatial.com
Quantum Spatial
Quantum Spatial
1
-121.729431
-121.401750
47.245737
47.189260
Tacoma Water Service Area, Green River Topobathymetric LiDAR
2018-05-27
2018-05-28
Provide support for high resolution terrain elevation data from the Tacoma Water Service Area, Green River Topobathymetric LiDAR dataset.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This shapefile represents the rivers thalweg. Data was processed in reference to NAD83 (CORS96), however the horizontal datum for this dataset is defined as NAD83 (HARN) as the difference is generally small and allows for greater ease of use with data in different datums. The vertical datum is NAVD88, Geoid 12B, and it is projected in Washington State Plane South. Units are in US Survey Feet. Quantum Spatial collected the Tacoma Water Service Area, Green River Topobathymetric LiDAR data for Washington State Department of Natural Resources between 05/27/18 and 05/28/18.</SPAN></P></DIV></DIV></DIV>
Washington State Department of Natural Resources
Thalweg
Tacoma
Washington
Puget Sound
Pierce County
Stampede Pass
Smay Creek
North Fork Green River
Please contact Washington State Department of Natural Resources for information regarding the use of this data.
Abigail Gleason
Washington State Department of Natural Resources
1111 Washington St. SE MS 47007
Olympia
WA
98504
abigail.gleason@dnr.wa.gov
US
202-423-5089
Thalweg
Tacoma, Washington, Puget Sound, Pierce County, Stampede Pass, Smay Creek, North Fork Green River
Enterprise Geodatabase Feature Class
1
0.083
Abigail Gleason
Washington State Department of Natural Resources
1111 Washington St. SE MS 47007
Olympia
WA
98504
abigail.gleason@dnr.wa.gov
US
202-423-5089
dataset
EPSG
8.2.2(10.2.1)
0
Simple
FALSE
0
TRUE
FALSE
Headworks.SDE.Thalwegs
Feature Class
0
Thalweg
Quantum Spatial
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Id
Id
Integer
4
10
0
feature id
QSI
numerated feature id
ThalwegID
ThalwegID
String
25
0
0
Reach
Reach
String
5
0
0
Section
Section
String
5
0
0
Channel
Channel
String
15
0
0
ThalwegTyp
ThalwegTyp
String
15
0
0
Year
Year
SmallInteger
2
5
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
2018-08-23
Quantum Spatial
1100 NE Circle Blvd. Ste. 126
Corvallis
OR
97330
US
541-752-1204
http://www.quantumspatial.com
Quantum Spatial
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 0.206 ft (0.063 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
ft_us
0.206 ft (0.063 m)
The Non-vegetated Vertical Accuracy (NVA) of this dataset as compared to the bare earth DEM tested at the 95% confidence level is 0.131 ft (0.040 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Non-vegetated Vertical Accuracy was assessed using 20 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data.
NVA
ft_us
0.131 ft (0.040 m)
>
Acquisition. Quantum Spatial collected the Tacoma Water Service Area, Green River Topobathymetric LiDAR data between 05/27/18 and 05/28/18. The survey used a Riegl VQ-820-G and an Optech Orion-H laser system dually mounted in a Cessna Caravan 208B. Ground level GPS and aircraft IMU were collected during the flight.
Sensor: Riegl VQ-820-G
Maximum returns: Unlimited
Nominal pulse density: 12 pulses/m^2
Nominal pulse spacing: 0.28 m
AGL: 900 m
Speed: 120 knots
FOV: 42°
Scan frequency: Uniform Point Spacing
Pulse rate: 284 kHz
Pulse duration: 1.2 ns
Pulse width: 36 cm
Wavelength: 532 nm
Pulses in air mode: Multiple Times Around
Beam divergence: 1 mrads
Swath width: 564 m
Overlap: 65%
Sensor: Orion Optech-H
Maximum returns: Unlimited
Nominal pulse density: 12 pulses/m^2
Nominal pulse spacing: 0.28 m
AGL: 900 m
Speed: 120 knots
FOV: 42°
Scan frequency: 46.0 hz
Pulse rate: 125 kHz
Pulse duration: 3.0 ns
Pulse width: 90 cm
Wavelength: 1064 nm
Pulses in air mode: Multiple Pulses in Air
Beam divergence: 0.38 mrads
Swath width: 564 m
Overlap: 65%
2018-05-28T00:00:00
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 classified LiDAR point cloud as compared to ground control points is 0.068 ft (0.021 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.
84 ground control points were collected and utilized in the calibration and post processing of the LiDAR data point cloud.
RMSE
0.068 ft (0.021 m)
ft_us
Vertical accuracy was also assessed using bathymetric bottom check points collected over submerged bathymetric terrain. The vertical accuracy of the classified LiDAR point cloud as compared to bathymetric check points is 0.212 ft (0.065 m) assessed at the 95th percentile. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Bathymetric bottom vertical accuracy was assessed using 27 bathymetric bottom check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data.
95th Percentile
ft_us
0.212 ft (0.065 m)
Vertical accuracy was also assessed using wetted edge check points collected at the water's edge. The vertical accuracy of the classified LiDAR points cloud as compared to the wetted edge check points is 0.205 ft (0.062 m) assessed at the 95th percentile. Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Wetted edge vertical accuracy was assessed using 13 wetted edge check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data.
95th Percentile
ft_us
0.205 ft (0.062 m)