2012 Oregon Lidar Consortium (OLC) Lidar DEM: Keno (OR)

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Oregon Department of Geology and Mineral Industries (DOGAMI)
Originator:
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
Publication_Date: 20171012
Title: 2012 Oregon Lidar Consortium (OLC) Lidar DEM: Keno (OR)
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA's Ocean Service (NOS), Office for Coastal Management (OCM)
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8385
Online_Linkage:
https://coast.noaa.gov/htdata/raster2/elevation/OLC_Keno_DEM_2012_8385
Online_Linkage: https://coast.noaa.gov/dataviewer
Online_Linkage: https://coast.noaa.gov/dataregistry
Online_Linkage: https://coast.noaa.gov
Description:
Abstract:
Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data of the Oregon Keno Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's (OLC) Keno project area encompasses approximately 200,000 acres in Klamath County near the Oregon-California state border and surrounds a portion of the Klamath River. The data were collected between May 19 - August 17, 2012 with a resolution of eight pulses per square meter. The bare earth Digital Elevation Models (DEMs) are at a 3 ft grid cell size. In addition to the bare earth Digital Elevation Models (DEMs), the lidar point data, are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6354
Purpose:
Provide high resolution terrain elevation and land cover elevation data.
Supplemental_Information:
A final report for this project may be viewed at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6354/supplemental/or2012_olc_keno_m6354_lidar_report.pdf A QC report for this project may be viewed at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6354/supplemental/or2012_olc_keno_m6354_qc_report.pdf
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20120519
Ending_Date: 20120817
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -122.317686
East_Bounding_Coordinate: -121.869100
North_Bounding_Coordinate: 42.274700
South_Bounding_Coordinate: 42.002706
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: elevation
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Bathymetry/Topography
Theme_Keyword: LiDAR
Theme_Keyword: Light Detection and Ranging
Theme_Keyword: DEM
Theme_Keyword: digital terrain model
Theme_Keyword: DoGAMI
Theme_Keyword: elevation data
Theme_Keyword: topography
Theme_Keyword: highest hit
Theme_Keyword: high-resolution
Theme_Keyword: DTM
Theme_Keyword: Land Cover
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: United States
Place_Keyword: Oregon
Place_Keyword: California
Place_Keyword: Pacific Northwest
Place_Keyword: Klamath County
Access_Constraints: None
Use_Constraints:
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. Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Nature of the Northwest
Contact_Person: Don Haines
Contact_Address:
Address_Type: mailing and physical
Address: 800 NE Oregon St. #28, Ste. 965
City: Portland
State_or_Province: Oregon
Postal_Code: 97232
Country: USA
Contact_Voice_Telephone: 971-673-2331
Contact_Electronic_Mail_Address: ian.madin@dogami.state.or.us
Browse_Graphic:
Browse_Graphic_File_Name:
https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6354/supplemental/or2012_olc_keno_m6354.kmz
Browse_Graphic_File_Description: Footprint for the 2012 OLC Keno study area in Oregon.
Browse_Graphic_File_Type: kmz
Data_Set_Credit: DoGAMI, WSI
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.5.4400
Cross_Reference:
Citation_Information:
Originator: DOGAMI
Publication_Date: 201303
Title: Lidar Data Quadrangle Series - Keno, OR
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 1:3000 scale.
Completeness_Report:
LiDAR data has been collected and processed for all areas within the project study area.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
See link to the lidar report in the Supplemental Information field above.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 3,338 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Keno study area. See LiDAR data report.
Quantitative_Vertical_Positional_Accuracy_Assessment:
Vertical_Positional_Accuracy_Value: 0.04
Vertical_Positional_Accuracy_Explanation:
The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 3,338 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Keno study area. See link to the lidar report in the Supplemental Information field above.
Lineage:
Process_Step:
Process_Description:
Acquisition. LiDAR data acquisition began May 19, 2012 and was completed August 16, 2012. The survey utilized Leica ALS50 Phase II and ALS60 laser systems mounted in a Cessna Caravan 208B and Partenavia P.38. 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: Unknown
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 and 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_Date: Unknown
Process_Step:
Process_Description:
The NOAA Office for Coastal Management (OCM) received the files in the proprietary ESRI grid format from the Oregon Lidar Consortium. The data were in Oregon Lambert (NAD83 HARN), International Feet coordinates and NAVD88 (Geoid03) vertical feet. OCM performed the following processing to the data to make it available in the Digital Coast: 1. The files were converted from ESRI Grid format to floating point GeoTiff format 2. The vertical units of the data were converted from International feet to meters using gdal_translate from GDAL version 2.1.1..
Process_Date: 201709
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NOAA Office for Coastal Management
Contact_Address:
Address_Type: mailing and physical
Address: 2234 South Hobson Avenue
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: 843-740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Oregon Statewide
Lambert_Conformal_Conic:
Standard_Parallel: 44.333333333333
Standard_Parallel: 46
Longitude_of_Central_Meridian: -120.5
Latitude_of_Projection_Origin: 43.666666666667
False_Easting: 8202099.738
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 3
Ordinate_Resolution: 3
Planar_Distance_Units: international feet
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
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: North American Vertical Datum of 1988 (NAVD88; Geoid03)
Altitude_Resolution: 0.001
Altitude_Distance_Units: Meters
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NOAA Office for Coastal Management
Contact_Address:
Address_Type: mailing and physical
Address: 2234 South Hobson Avenue
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: 843-740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Resource_Description: Downloadable Data
Distribution_Liability:
Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners.
Custom_Order_Process:
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8385
Metadata_Reference_Information:
Metadata_Date: 20171005
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NOAA Office for Coastal Management
Contact_Address:
Address_Type: mailing and physical
Address: 2234 South Hobson Avenue
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: 843-740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Generated by mp version 2.9.32 on Thu Oct 5 08:46:24 2017