wa_dnr_p1_2015_hh

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Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: QSI
Publication_Date: unknown
Title: wa_dnr_p1_2015_hh
Geospatial_Data_Presentation_Form: raster digital data
Description:
Abstract:
This highest hit digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures included in the P1 area of the WA DNR Lands project area. The highest hit DEMs were derived from LiDAR data using the highest hit method. The DEM grid cell size is 3 feet. The projection is Washington State Plane South, NAD83 CORS96, NAVD88 Geoid 03, and the units are US survey feet. See Process Steps for derivation of raster datasets.
Purpose:
This raster dataset provides high resolution terrain and surface feature elevation data in the P1 area of the WA DNR Lands project area.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20141231
Ending_Date: 20150306
Currentness_Reference: Ground condition during LiDAR survey
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -124.726730
East_Bounding_Coordinate: -123.670347
North_Bounding_Coordinate: 48.399328
South_Bounding_Coordinate: 47.870598
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword:
Puget Sound LiDAR Consortium, QSI, LiDAR, Light Detection and Ranging, DEM, digital terrain model, elevation data, topography, highest hit, high-resolution, surface feature, DTM
Place:
Place_Keyword_Thesaurus: None
Place_Keyword:
Washington, Clallam County, Forks, Olympic National Forest, Olympic National Park, Strait of Juan de Fuca, Lake Ozette, Crescent Lake
Access_Constraints: None
Use_Constraints:
This dataset was contracted by the Puget Sound LiDAR Consortium. Information regarding the use of this dataset should be directed to the owner.
Data_Set_Credit: PSLC, QSI
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959

Data_Quality_Information:
Logical_Consistency_Report:
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. Accuracy analysis will be calculated for all AOIs upon project completion, and updated metadata for all files will be provided. Please see the final LiDAR data report for a discussion of the statistics related to this dataset.
Completeness_Report:
LiDAR has been collected and processed for all areas within the project study area. In some areas of heavy vegetation and 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. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisition of an area.
Positional_Accuracy:
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Internal consistency measures the difference between ground-classified points from different overlapping flightlines for the native LiDAR dataset used in the creation of this DEM. Please see the final LiDAR data report for a discussion of the relative accuracy statistics related to this dataset.
Lineage:
Process_Step:
Process_Description:
Processing. 1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection. 2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information. 3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise. 4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report. 5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition. 6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods. 7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language. 8. DATA PRODUCT: LiDAR first return points were output as a digital elevation model (DEM).
Process_Date: unknown
Process_Step:
Process_Description:
Acquisition. LiDAR data acquisition was conducted from Dec 31, 2014 to Mar 6, 2015. The survey utilized a Leica ALS 70 and ALS 80 laser systems mounted in a Cessna Grand Caravan. 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.
Process_Date: 20150306

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 7827
Column_Count: 5447

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: NAD 1983 CORS96 StatePlane Washington South FIPS 4602 Ft US
Lambert_Conformal_Conic:
Standard_Parallel: 45.83333333333334
Standard_Parallel: 47.33333333333334
Longitude_of_Central_Meridian: -120.5
Latitude_of_Projection_Origin: 45.33333333333334
False_Easting: 1640416.666666667
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000000026454105572781834
Ordinate_Resolution: 0.000000026454105572781834
Planar_Distance_Units: foot_us
Geodetic_Model:
Horizontal_Datum_Name: D NAD 1983 CORS96
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_Address:
Address_Type: physical
Address: 1011 Western Ave, Suite 500
City: Seattle
State_or_Province: WA
Postal_Code: 98104
Country: USA
Contact_Voice_Telephone: 206-971-3283
Contact_Electronic_Mail_Address: clam@psrc.org
Distribution_Liability:
This dataset was contracted by the Puget Sound LiDAR Consortium. Information regarding the use of this dataset should be directed to the owner.

Metadata_Reference_Information:
Metadata_Date: 20151209
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: QSI
Contact_Address:
Address_Type: mailing
Address: 517 SW 2nd St, Suite 400
City: Corvallis
State_or_Province: Oregon
Postal_Code: 97333
Country: USA
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 Dec 09 10:31:48 2015