walla_walla_hh

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Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Quantum Spatial
Publication_Date: 20170522
Title: walla_walla_hh
Geospatial_Data_Presentation_Form: raster digital data
Description:
Abstract:
The highest hit digital surface model (DSM) represents the earth's surface elevation with all vegetation and human-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). The horizontal datum for this dataset is NAD83 (HARN), 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 PSLC Walla Walla LiDAR data for Puget Sound LiDAR Consortium between 11/29/16 and 03/23/17.
Purpose:
Provide high resolution surface elevation data from the PSLC Walla Walla dataset.
Supplemental_Information:
This data is assembled by 1/4 USGS Quadrangles and projected in Washington State Plane North.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20161129
Ending_Date: 20170323
Currentness_Reference: PSLC Walla Walla LiDAR
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -118.852876
East_Bounding_Coordinate: -118.121305
North_Bounding_Coordinate: 46.283079
South_Bounding_Coordinate: 45.877571
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: Walla Walla
Place_Keyword: Washington
Place_Keyword: Milton-Freewater, Touchet, Columbia Plateau
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: Andy Norton
Contact_Address:
Address_Type: mailing
Address: 1011 Western Avenue, Suite 500
City: Seattle
State_or_Province: Washington
Postal_Code: 98104
Country: US
Contact_Voice_Telephone: 206.971.3283
Contact_Electronic_Mail_Address: anorton@psrc.org
Data_Set_Credit: Puget Sound LiDAR Consortium
Native_Data_Set_Environment: Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686

Data_Quality_Information:
Logical_Consistency_Report:
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 0.073 ft (0.022 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 project study area.
Positional_Accuracy:
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.163 ft (0.050 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: 0.163 ft (0.050 m)
Vertical_Positional_Accuracy_Explanation:
Non-vegetated Vertical Accuracy was assessed using 109 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data.
Lineage:
Process_Step:
Process_Description:
Acquisition. Quantum Spatial collected the PSLC Walla Walla LiDAR data between 11/29/16 and 03/23/17. 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: Unlimited Nominal pulse density: 8 pulses/m^2 Nominal pulse spacing: 0.35 m AGL: 1600 m Speed: 150 knots FOV: 30° Scan frequency: 58.4 hz Pulse rate: 353 kHz Pulse duration: 2.5 ns Pulse width: 0.35 m Wavelength: 1064 nm Pulses in air mode: Multiple Pulses in Air Beam divergence: 22 mrads Swath width: 857 m Overlap: 63%
Process_Date: 20170323
Process_Step:
Process_Description:
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.1.2.2 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. The highest hit algorithm was used to create this highest hit DSM.
Process_Date: 20170522

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 1390
Column_Count: 5545

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: Andy Norton
Contact_Address:
Address_Type: mailing
Address: 1011 Western Avenue, Suite 500
City: Seattle
State_or_Province: Washington
Postal_Code: 98104
Country: US
Contact_Voice_Telephone: 206.971.3283
Contact_Electronic_Mail_Address: anorton@psrc.org
Distribution_Liability:
Please contact the Puget Sound LiDAR Consortium for information regarding the use of this data.

Metadata_Reference_Information:
Metadata_Date: 20170522
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 Wed Jun 21 12:44:46 2017