Metadata Sample for 2012 USGS Quinault

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: WSI

Title: q47123b71be

Geospatial_Data_Presentation_Form: raster digital data

Description:

Abstract:

This dataset represents the Quinault River Basin USGS add-on in Grays Harbor County, Washington. The bare earth digitial elevation models (DEMs) were derived from LiDAR data using TIN processing of the ground point returns which represent the earth's surface elevation with all vegetation and human-made structures removed. The DEM ESRI GRID cell size is 3 feet. The elevation units are in US survey feet. The data has been organized into USGS 3.75' Quadrangle delineation tiles. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, under dense vegetation). WSI collected the LiDAR for the Puget Sound LiDAR Consortium and the U.S. Geological Survey (USGS) on March 24th - 25th, and April 8th, 9th, and 22nd, 2012.

Purpose: Provide high resolution terrain and land cover data.

Supplemental_Information:

This data is assembled by 1/4th (3.75') USGS Quadrangles and projected into Washington State Plane South, FIPS 4602, US Survey Feet.

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -124.382775

East_Bounding_Coordinate: -124.121092

North_Bounding_Coordinate: 47.57342

South_Bounding_Coordinate: 47.455879

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: LiDAR

Theme_Keyword: DEM

Theme_Keyword: Light detection and ranging

Theme_Keyword: bare earth

Theme_Keyword: digital elevation model

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Categories

Theme_Keyword: elevation

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Pacific Northwest

Place_Keyword: Washington

Place_Keyword: Grays Harbor County

Place_Keyword: Quinault

Access_Constraints: None

Use_Constraints:

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 not valid elevation values because few LiDAR points are returned from water surfaces. Triangles were created across water surfaces by interpolating from the nearest land points.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Puget Sound LiDAR Consortium

Contact_Person: Diana Martinez

Contact_Address:

Address_Type: mailing and physical

Address: 1011 Western Ave., Suite 500

City: Seattle

State_or_Province: Washington

Postal_Code: 98104

Contact_Voice_Telephone: 206-971-3052

Contact_Electronic_Mail_Address: dmartinez@psrc.org

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: WSI

Contact_Address:

Address_Type: unknown

Address: 517 SW 2nd Street, Suite 400

City: Corvallis

State_or_Province: Oregon

Postal_Code: 97333

Country: USA

Contact_Voice_Telephone: 541-752-1204

Data_Set_Credit: U.S. Geological Survey (USGS), Puget Sound LiDAR Consortium

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.3.3600

Data_Quality_Information:

Logical_Consistency_Report:

LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:2000 scale.

Completeness_Report:

LiDAR data has been collected and processed for all areas within the project study area.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Quantitative_Horizontal_Positional_Accuracy_Assessment:

Horizontal_Positional_Accuracy_Explanation: See LiDAR data report.

Positional_Accuracy:

Vertical_Positional_Accuracy:

Quantitative_Vertical_Positional_Accuracy_Assessment:

Vertical_Positional_Accuracy_Value: RMSE = 0.084ft

Vertical_Positional_Accuracy_Explanation:

The Root Mean Square Error (RMSE) of the Quinault USGS is 0.084ft. Accuracy was assessed using 1,212 ground survey RTK (real time kinematic) points. Please see LiDAR data report for a discussion of statistics related to these datasets.

Lineage:

Process_Step:

Process_Description:

Acquisition. The LiDAR data was collected between March 24th - 25th, and April 8th, 9th, and 22nd, 2012. The survey used a Leica ALS60 laser system mounted in a Cessna Caravan 208B. 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. Instrument Parameters; Beam diameter: 21cm, Pulse rate: 105,000 Hz, Maximum returns: 4, Field of view: 28 degrees, Minimum separation between returns: 3.5 cm/second, Laser output power: 17%, Minimum return power: 200 kHz, Beam wavelenth: 1064 nm, Frequency of GPS sampling: 2 Hz, Frequency of IMU sampling: 200 Hz, Swath width:448m , AGL:900m , Single swath pulse density: 4 , Average pulse density: 8

Process_Step:

Process_Description:

Processing steps: 1. Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 2. Developed a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data. Sensor head position and attitude were calculated throughout the survey. The SBET data were used extensively for laser point processing. 3. Calculated laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Created raw laser point cloud data for the entire survey in *.las (ASPRS v. 1.2) format. 4. Imported raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter for pits/birds. Ground points were then classified for individual flight lines (to be used for relative accuracy testing and calibration). 5. Using ground classified points per each flight line, the relative accuracy was tested. Automated line-to-line calibrations were then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations were performed on ground classified points from paired flight lines. Every flight line was used for relative accuracy calibration. 6. Position and attitude data were imported. Resulting data were classified as ground and non-ground points. Statistical absolute accuracy was assessed via direct comparisons of ground classified points to ground RTK survey data. 7. Final version of data was checked for duplicate points using TerraScan software. No duplicate points were found. 8. Bare Earth models were created as a triangulated surface and exported as ArcInfo ASCII grids.

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Pixel

Row_Count: 136

Column_Count: 3168

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: NAD 1983 HARN StatePlane Washington South FIPS 4602 Feet

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 North American 1983 HARN

Ellipsoid_Name: GRS 1980

Semi-major_Axis: 6378137.0

Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: int_47123B7101.tif.vat

Attribute:

Attribute_Label: OID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: Value

Attribute:

Attribute_Label: Count

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Puget Sound LiDAR Consortium

Contact_Person: Diana Martinez

Contact_Address:

Address_Type: mailing and physical

Address: 1011 Western Ave., Suite 500

City: Seattle

State_or_Province: Washington

Postal_Code: 98104

Country: USA

Contact_Voice_Telephone: 206-971-3052

Contact_Electronic_Mail_Address: dmartinez@psrc.org

Distribution_Liability: See access and use constraints information.

Metadata_Reference_Information:

Metadata_Date: 20120824

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: WSI

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