Metadata Sample for 2009 Umpqua River, OR

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: PSLC

Originator: Watershed Sciences, Inc.

Publication_Date: 2009

Title: be43123c41

Geospatial_Data_Presentation_Form: raster digital data

Online_Linkage:

\\lidar\data\Drive4\pslc2009\usgs_umpqua\dem\BARE_EARTH\be43123c41

Description:

Abstract:

The dataset encompasses portions of the Umpqua River watershed in Douglas County, central western Oregon.
The bare earth digital elevation models (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, over dense vegetation).
Watershed Sciences, Inc. collected the LiDAR and created this data set for the USGS through the Puget Sound LiDAR Consortium (PSLC).

Purpose:

Provide high resolution terrain elevation and land cover elevation data.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 4/21/2009

Ending_Date: 7/13/2009

Currentness_Reference: ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -123.500519

East_Bounding_Coordinate: -123.437054

North_Bounding_Coordinate: 43.375255

South_Bounding_Coordinate: 43.312246

Keywords:

Theme:

Theme_Keyword_Thesaurus:

REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.

Theme_Keyword: LiDAR

Theme_Keyword: Light Detection and Ranging

Theme_Keyword: DEM

Theme_Keyword: digital terrain model

Theme_Keyword: USGS

Theme_Keyword: elevation data

Theme_Keyword: topography

Theme_Keyword: bare earth

Theme_Keyword: high-resolution

Theme_Keyword: bare ground

Theme_Keyword: DTM

Place:

Place_Keyword: Oregon

Place_Keyword: Douglas County

Place_Keyword: Pacific Northwest

Place_Keyword: Umpqua River

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: USGS

Contact_Person: Jeff Coe

Contact_Address:

Address_Type: mailing and physical address

Address: Denver Federal Center

Address: MS 966, Box 25046

City: Denver

State_or_Province: CO

Postal_Code: 80225

Country: USA

Data_Set_Credit: PSLC

Native_Data_Set_Environment:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000

Data_Quality_Information:

Logical_Consistency_Report:

LiDAR flight lines have been examined to ensure that there was at least 75% 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 1:3000 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.

Vertical_Positional_Accuracy:

Quantitative_Vertical_Positional_Accuracy_Assessment:

Vertical_Positional_Accuracy_Value: RMSE = 0.04 meters

Vertical_Positional_Accuracy_Explanation:

The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 2872 ground survey (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 April 21, and July 13, 2009. The survey used a Leica ALS50 Phase II laser system mounted in a Cessna Caravan 208. 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_Step:

Process_Description:

Processing.
1. Flight lines 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 ALS Post Processor software, IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines 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 flight lines. 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 ALS postprocessing 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 RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces.

Process_Step:

Process_Description: Metadata imported.

Source_Used_Citation_Abbreviation: D:\LiDAR\picking\jeff_co\metadata\be.xml

Process_Date: 20090915

Process_Time: 11063100

Process_Step:

Process_Description: Metadata imported.

Source_Used_Citation_Abbreviation:

G:\Jeffcoe\2PROC\DELIVERY\RASTER\DEM\BARE_EARTH\be43123c41\metadata.xml

Process_Date: 20091009

Process_Time: 16340900

Process_Step:

Process_Description: Dataset copied.

Source_Used_Citation_Abbreviation: K:\MOS\3_CLIPMASK\be43123c41

Process_Date: 20091009

Process_Time: 16351100

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Row_Count: 6969

Column_Count: 5105

Vertical_Count: 1

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name: Universal Transverse Mercator

Universal_Transverse_Mercator:

UTM_Zone_Number: 10

Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.999600

Longitude_of_Central_Meridian: -123.000000

Latitude_of_Projection_Origin: 0.000000

False_Easting: 500000.000000

False_Northing: 0.000000

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: row and column

Coordinate_Representation:

Abscissa_Resolution: 1.000000

Ordinate_Resolution: 1.000000

Planar_Distance_Units: meters

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1983

Ellipsoid_Name: Geodetic Reference System 80

Semi-major_Axis: 6378137.000000

Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Attribute:

Attribute_Label: ObjectID

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: PSLC

Contact_Person: Diana Martinez

Contact_Address:

Address: 1011 Western Ave

City: Seattle

State_or_Province: WA

Postal_Code: 98104

Country: USA

Resource_Description: Downloadable Data

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Transfer_Size: 136.519

Metadata_Reference_Information:

Metadata_Date: 20100121

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Watershed Sciences, Inc.

Contact_Person: REQUIRED: The person responsible for the metadata information.

Contact_Address:

Address_Type: mailing address

Address: 529 SW 3rd Ave. Ste. 300.

City: Portland

State_or_Province: OR

Postal_Code: 97204

Country: USA

Contact_Voice_Telephone:

REQUIRED: The telephone number by which individuals can speak to the organization or individual.

Contact_Electronic_Mail_Address: watershedsciences.com

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Extensions:

Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>

Profile_Name: ESRI Metadata Profile