2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Upper Umpqua
Metadata also available as
Metadata:
- Identification_Information:
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- Citation:
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- Citation_Information:
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- Originator: Oregon Department of Geology and Mineral Industries (DOGAMI)
- Originator: Oregon Lidar Consortium
- Originator:
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Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS),
Office for Coastal Management (OCM)
- Publication_Date: 20170920
- Title:
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2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Upper Umpqua
- Publication_Information:
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- 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=8384
- Online_Linkage:
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https://coast.noaa.gov/htdata/raster2/elevation/OLC_upper_umpqua_2015_8384
- Online_Linkage: https://coast.noaa.gov/dataviewer
- Online_Linkage: https://coast.noaa.gov
- Description:
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- Abstract:
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The dataset encompasses 2209.5 square miles in southwestern Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents 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 DSM and DEM grid cell size is 3 feet. The projection is Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and vertical datum is NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models 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 Oregon Department of Geology and Mineral Industries (DOGAMI).
This data set was ingested into the Digital Coast Data Access Viewer. If obtained through that system, the projection and datums may have been changed by user request. See the spatial reference section.
- Purpose: Provide high resolution terrain elevation data.
- Supplemental_Information:
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A final report for this project may be viewed at:
https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/7379/supplemental/OLC_UPPER_UMPQUA_DATA_REPORT_2015.pdf
- Time_Period_of_Content:
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- Time_Period_Information:
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- Range_of_Dates/Times:
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- Beginning_Date: 20150204
- Ending_Date: 20151112
- Currentness_Reference: ground condition
- Status:
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- Progress: Complete
- Maintenance_and_Update_Frequency: None planned
- Spatial_Domain:
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- Bounding_Coordinates:
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- West_Bounding_Coordinate: -124.0
- East_Bounding_Coordinate: -122.421
- North_Bounding_Coordinate: 43.83
- South_Bounding_Coordinate: 42.94
- Keywords:
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- Theme:
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- Theme_Keyword_Thesaurus: ISO 19115 Topic Category
- Theme_Keyword: elevation
- Theme:
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- 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: Bare earth
- Theme_Keyword: High-resolution
- Theme_Keyword: Bare ground
- Place:
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- Place_Keyword_Thesaurus: None
- Place_Keyword: United States
- Place_Keyword: Oregon
- Place_Keyword: Pacific Northwest
- Access_Constraints: None
- Use_Constraints:
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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:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: DOGAMI
- Contact_Person: Jacob Edwards
- Contact_Address:
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- Address_Type: mailing and physical
- Address: 800 NE Oregon St. #28, Ste. 965
- City: Portland
- State_or_Province: OR
- Postal_Code: 97232
- Country: USA
- Contact_Voice_Telephone: 971-673-1557
- Contact_Electronic_Mail_Address: jacob.edwards@oregon.gov
- Browse_Graphic:
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- Browse_Graphic_File_Name:
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https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/7379/supplemental/2015_upper_umpqua_area.kmz
- Browse_Graphic_File_Description: A polygon footprint of this data set.
- Browse_Graphic_File_Type: kmz
- Data_Set_Credit: DOGAMI, Watershed Sciences, Quantum Spatial
- Data_Quality_Information:
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- Logical_Consistency_Report:
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Upon receipt from vendor (Quantum Spatial), all LiDAR data was independently reviewed by staff from the Oregon Department of Geology and Mineral Industries (DOGAMI) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy.
- Completeness_Report:
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LiDAR data has been collected and processed for all areas within the project study area.
- Positional_Accuracy:
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- Horizontal_Positional_Accuracy:
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- Horizontal_Positional_Accuracy_Report: unknown
- Vertical_Positional_Accuracy:
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- Vertical_Positional_Accuracy_Report:
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Vertical accuracy analysis of delivered lidar data consisted of differencing collected NVA and VVA data and the lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet) and the maximum vertical RSME to not exceed 0.0925 meters (0.303 feet).
A total of 776 measured NVA check points were obtained in the Upper Umpqua 3DEP project area and were compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of 0.02 meters (0.06 feet) and an RMSE value of 0.07 meters (0.23 feet). Offset values ranged from -0.18 meters (-0.62 feet) to 0.18 meters (0.59 feet).
For more information about the vertical accuracy, please refer to the final report, listed above in the Supplemental_Information field
of this metadata record.
- Quantitative_Vertical_Positional_Accuracy_Assessment:
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- Vertical_Positional_Accuracy_Value: 0.07
- Vertical_Positional_Accuracy_Explanation: Tested to meet RMSE in meters.
- Lineage:
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- Process_Step:
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- Process_Description:
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Acquisition.
LiDAR data acquisition was conducted from Feb 14, 2015 to Nov 12, 2015. The survey utilized a Leica ALS 80 laser system mounted in a Cessna 208. Scan angles near nadir were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
- Process_Date: 2015
- Process_Step:
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- Process_Description:
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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 points classified as 'ground' were output as a digital elevation model (DEM).
- Process_Date: 20151112
- Process_Contact:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: QSI, a Quantum Spatial Company
- Contact_Address:
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- Address_Type: mailing and physical
- Address: 421 SW 6th Avenue, Suite 800
- City: Portland
- State_or_Province: OR
- Postal_Code: 97204
- Contact_Voice_Telephone: (503) 505-5100
- Process_Step:
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- Process_Description:
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The NOAA Office for Coastal Management (OCM) received the files in the proprietary ESRI grid format. The files were converted to floating point GeoTIFF format in vertical meters using gdal_translate from GDAL version 2.1.1.
- Process_Date: 201706
- Process_Contact:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: NOAA Office for Coastal Management
- Contact_Address:
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- 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:
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- Direct_Spatial_Reference_Method: Raster
- Raster_Object_Information:
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- Raster_Object_Type: Grid Cell
- Spatial_Reference_Information:
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- Horizontal_Coordinate_System_Definition:
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- Planar:
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- Map_Projection:
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- Map_Projection_Name: Oregon Statewide Lambert Conformal Conic
- Lambert_Conformal_Conic:
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- Standard_Parallel: 43
- Standard_Parallel: 45.5
- Longitude_of_Central_Meridian: -120.5
- Latitude_of_Projection_Origin: 41.75
- False_Easting: 1312335.958005249
- False_Northing: 0.0
- Planar_Coordinate_Information:
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- Planar_Coordinate_Encoding_Method: coordinate pair
- Coordinate_Representation:
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- Abscissa_Resolution: 3
- Ordinate_Resolution: 3
- Planar_Distance_Units: foot_us
- Geodetic_Model:
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- Horizontal_Datum_Name: North American Datum of 1983 (2011)
- Ellipsoid_Name: Geodetic Reference System 80
- Semi-major_Axis: 6378137.000000
- Denominator_of_Flattening_Ratio: 298.257222
- Vertical_Coordinate_System_Definition:
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- Altitude_System_Definition:
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- Altitude_Datum_Name: North American Vertical Datum of 1988 (NAVD88; Geoid12a)
- Altitude_Resolution: 0.001
- Altitude_Distance_Units: Meters
- Altitude_Encoding_Method:
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Explicit elevation coordinate included with horizontal coordinates
- Distribution_Information:
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- Distributor:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: NOAA Office for Coastal Management
- Contact_Address:
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- 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:
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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:
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This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer
- Metadata_Reference_Information:
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- Metadata_Date: 20170922
- Metadata_Contact:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: NOAA Office for Coastal Management
- Contact_Address:
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- 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 Fri Sep 22 07:26:03 2017