Metadata Sample for 2014 Cedar River Watershed Delivery 1

Metadata extracted from 2014 Cedar River Watershed Delivery 1 highest hit raster grid q47121g81hh

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Quantum Spatial
Publication_Date: 20140411
Title: q47121g81hh
Geospatial_Data_Presentation_Form: raster digital data
Description:
Abstract:
The highest hit digital surface model (DSM) represent the earth's surface elevation with all vegetation and man-made structures included. It was derived from NIR LiDAR data using the highest hit method. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water). 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 03, and the data is projected in Washington State Plane North. Units are in US Survey Feet. Quantum Spatial collected the Cedar River Watershed Delivery 1 LiDAR data for the Puget Sound LiDAR Consortium between 12/11/13 and 02/06/14.
Purpose:
Provide high resolution surface elevation data from the Cedar River Watershed Delivery 1 LiDAR dataset.
Supplemental_Information:
This data is assembled by 1/4th USGS Quadrangles and projected in Washington State Plane North.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20131211
Ending_Date: 20140206
Currentness_Reference: Cedar River Watershed Delivery 1 LiDAR
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -122.001419
East_Bounding_Coordinate: -121.936163
North_Bounding_Coordinate: 47.875626
South_Bounding_Coordinate: 47.812000
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: LiDAR
Theme_Keyword: Light detection and ranging
Theme_Keyword: highest hit
Theme_Keyword: vegetation
Theme_Keyword: man-made structures
Theme_Keyword: digital surface model
Theme_Keyword: DSM
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Categories
Theme_Keyword: elevation
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Washington
Place_Keyword: Snohomish County, King County
Access_Constraints: None
Use_Constraints:
Elevation values for open water surfaces should be considered approximate due to the increase of laser noise seen over water, frequent lack of returns, and the overall dynamic nature of water.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Puget Sound LiDAR Consortium
Contact_Person: Diana Martinez
Contact_Address:
Address_Type: mailing
Address: 1011 Western Ave, Suite 500
City: Seattle
State_or_Province: Washington
Postal_Code: 98104
Country: US
Contact_Voice_Telephone: 206-971-3052
Contact_Electronic_Mail_Address: dmartinez@psrc.org
Data_Set_Credit: Puget Sound LiDAR Consortium
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7600) ; Esri ArcGIS 10.2.2.3552

Data_Quality_Information:
Logical_Consistency_Report:
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The Root Mean Square Error (RMSE) of line to line relative accuracy for this dataset is 0.120 ft (0.037 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Completeness_Report:
LiDAR data has been collected and processed for all areas within the Delivery 1 area.
Positional_Accuracy:
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The Root Mean Square Error (RMSE) of the vertical accuracy of this dataset is 0.085 ft (0.026 m). Please see the LiDAR data report for a discussion of the statistics related to this dataset.
Quantitative_Vertical_Positional_Accuracy_Assessment:
Vertical_Positional_Accuracy_Value: 0.085 ft (0.026 m)
Vertical_Positional_Accuracy_Explanation:
Accuracy was assessed using 1363 ground survey RTK (real time kinematic) points.
Lineage:
Process_Step:
Process_Description:
Acquisition. Quantum Spatial collected the Cedar River Watershed Delivery 1 LiDAR data between 12/11/13 and 02/06/14. The survey used a Leica ALS60 laser system mounted in a Partenavia, and a Leica ALS70 laser system mounted in a Partenavia. Data was collected using a single pulse flight plan for the majority of the missions, and a multi pulse flight plan on 12/16/13. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
Leica ALS60 Instrument Parameters (12/11, 12/12): Beam diameter: 21 cm, Pulse rate: 95-106 kHz, Maximum returns: 4, Speed: 105 knots, Overlap: 63 %, Laser power: 16.7 %, Field of view (FOV): 26°, Beam wavelength: 1064 nm, Frequency of GPS sampling: 2 Hz, Frequency of IMU sampling: 200 Hz, Swath width: 416 m, AGL: 900 m, Average pulse density: 8.

Leica ALS60 Instrument Parameters (12/16): Beam diameter: 32 cm, Pulse rate: 152 kHz, Maximum returns: 4, Speed: 105 knots, Overlap: 63 %, Laser power: 58 %, Field of view (FOV): 24°, Beam wavelength: 1064 nm, Frequency of GPS sampling: 2 Hz, Frequency of IMU sampling: 200 Hz, Swath width: 595 m, AGL: 1400 m, Average pulse density: 8.

Leica ALS70 Instrument Parameters (2/3, 2/4): Beam diameter: 23 cm, Pulse rate: 265-275.6 kHz, Maximum returns: 7, Speed: 120 knots, Overlap: 63 %, Laser power: 49 %, Field of view (FOV): 30°, Beam wavelength: 1064 nm, Frequency of GPS sampling: 2 Hz, Frequency of IMU sampling: 200 Hz, Swath width: 536 m, AGL: 1000 m, Average pulse density: 8.

Leica ALS70 Instrument Parameters (2/5, 2/6): Beam diameter: 30 cm, Pulse rate: 201-209.4 kHz, Maximum returns: 7, Speed: 105 knots, Overlap: 63 %, Laser power: 63.8 %, Field of view (FOV): 30°, Beam wavelength: 1064 nm, Frequency of GPS sampling: 2 Hz, Frequency of IMU sampling: 200 Hz, Swath width: 697 m, AGL: 1300 m, Average pulse density: 8.
Process_Date: 20140206
Process_Step:
Process_Description:
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data using Waypoint GPS 8.3, Trimble Business Center 3.10, and Geographic Calculator 2013. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data using IPAS TC 3.1. Sensor head position and attitude are calculated throughout the survey. The SBET data are used extensively for laser point processing. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc using ALS Post Processing Software 2.74. Create raw laser point cloud data for the entire survey in *.las (ASPRS v.1.2) format. Data are converted to orthometric elevations (NAVD88) by applying a Geoid03 correction. 5. Import raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter erroneous points using TerraScan 14.001. Ground points are then classified for individual flight lines (to be used for relative accuracy testing and calibration). 6. Using ground classified points per each flight line, the relative accuracy is tested. Automated line-to-line calibrations are then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift using TerraMatch 14.001. Calibrations are calculated on ground classified points from paired flight lines and results are applied to all points in a flight line. Every flight line is used for relative accuracy calibration. 7. Classify resulting data to ground and other client designated ASPRS classifications using TerraScan 14.001 and TerraModeler 14.001. Assess statistical absolute accuracy via direct comparisons of ground classified points to ground RTK survey data. 8. Generate highest hit models as a surface expression of all classified points.
Process_Date: 20140411

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 7660
Column_Count: 5229

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: NAD 1983 HARN StatePlane Washington North FIPS 4601 Feet
Lambert_Conformal_Conic:
Standard_Parallel: 47.5
Standard_Parallel: 48.73333333333333
Longitude_of_Central_Meridian: -120.8333333333333
Latitude_of_Projection_Origin: 47.0
False_Easting: 1640416.666666667
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000000026366619998441372
Ordinate_Resolution: 0.000000026366619998441372
Planar_Distance_Units: foot_us
Geodetic_Model:
Horizontal_Datum_Name: D North American 1983 HARN
Ellipsoid_Name: GRS 1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101

Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Puget Sound LiDAR Consortium
Contact_Person: Diana Martinez
Contact_Address:
Address_Type: mailing
Address: 1011 Western Ave, Suite 500
City: Seattle
State_or_Province: Washington
Postal_Code: 98104
Country: US
Contact_Voice_Telephone: 206-971-3052
Contact_Electronic_Mail_Address: dmartinez@psrc.org
Distribution_Liability:
Please contact the Puget Sound LiDAR Consortium for information regarding the use of this data.

Metadata_Reference_Information:
Metadata_Date: 20140411
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Quantum Spatial
Contact_Address:
Address_Type: mailing and physical
Address: 517 SW 2nd St., Suite 400
City: Corvallis
State_or_Province: OR
Postal_Code: 97333
Country: US
Contact_Voice_Telephone: 541-752-1204
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

Generated by mp version 2.9.12 on Thu Jul 17 16:08:54 2014