2016 OLC Lidar: Canyon Creek, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:57326 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2016 OLC Lidar: Canyon Creek, OR, https://www.fisheries.noaa.gov/inport/item/57326.
Full Citation Examples
Lidar point cloud collected and processed for Canyon Creek, Oregon in 2016. The dataset encompasses 251.7 square miles in the Canyon Creek stady area, Oregon. Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI).
Distribution Information
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Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base.
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LAS/LAZ - LASer
Bulk download of point cloud data files in LAZ format, geographic coordinates, orthometric heights.
None
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.
Controlled Theme Keywords
elevation, TERRAIN ELEVATION
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-119.529° W,
-118.716° E,
44.345° N,
44.134° S
Canyon Creek, OR
2016-06-07 - 2016-06-20
Collection time for the lidar.
Item Identification
Title: | 2016 OLC Lidar: Canyon Creek, OR |
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Short Name: | 2016 lidar Canyon Creek m8849 |
Status: | Completed |
Publication Date: | 2019-08-29 |
Abstract: |
Lidar point cloud collected and processed for Canyon Creek, Oregon in 2016. The dataset encompasses 251.7 square miles in the Canyon Creek stady area, Oregon. Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). |
Purpose: |
This dataset provides high resolution terrain elevation and land cover elevation data in the OLC Canyon Creek project area. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
ISO 19115 Topic Category |
elevation
|
Spatial Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
UNCONTROLLED | |
None | Continent > North America > United States Of America > Oregon > Canyon Creek |
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Data Set Type: | Elevation |
Maintenance Frequency: | None Planned |
Data Presentation Form: | Model (digital) |
Entity Attribute Overview: |
xyz location information for objects in the area |
Distribution Liability: |
This dataset was contracted by Oregon Department of Geology and Mineral Industries (DOGAMI). Information regarding the use of this dataset should be directed to the owner. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners |
Data Set Credit: | Oregon Department of Geology and Mineral Industries; Watershed Sciences, Inc |
Support Roles
Data Steward
Date Effective From: | 2019 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2019 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Metadata Contact
Date Effective From: | 2019 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Point of Contact
Date Effective From: | 2019 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -119.529 | |
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E° Bound: | -118.716 | |
N° Bound: | 44.345 | |
S° Bound: | 44.134 | |
Description |
Canyon Creek, OR |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2016-06-07 |
End: | 2016-06-20 |
Description: |
Collection time for the lidar. |
Spatial Information
Spatial Resolution
Horizontal Distance: | 0.35 Meter |
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Spatial Representation
Representations Used
Vector: | Yes |
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Vector Representation 1
Point Object Present?: | Yes |
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Reference Systems
Reference System 1
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Data is available online for custom downloads |
Data Access Constraints: |
None |
Data Use Constraints: |
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. |
Distribution Information
Distribution 1
Start Date: | 2019-08-29 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8849 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2019-08-29 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of point cloud data files in LAZ format, geographic coordinates, orthometric heights. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer/ |
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Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL 2
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_canyon_creek_area_m8849.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
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File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_OLC_Canyon_Creek_Acceptance_Report.pdf |
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Name: | Acceptance and QA report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Report by DOGAMI describing data quality tests and results. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_OLC_Canyon_Creek_SIGNED_UPDATED.pdf |
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Name: | Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Report by Watershed Sciences Inc detailing the project and processes. |
Data Quality
Vertical Positional Accuracy: |
Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Positional Accuracy Standards for Digital Geospatial Data V1.0 (ASPRS, 2014). The statistical model compares known ground survey points (GSPs) to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a “very high probability” that the sensor will measure the ground surface and is evaluated at the 95th percentile. For the OLC Canyon Creek study area, a total of 1,343 GSPs were collected and used for calibration of the LiDAR data. An additional 72 reserved ground survey points were collected for independent verification, resulting in a non-vegetated vertical accuracy (NVA) of 0.064 meters, or 0.211 feet. The RMSE is 3.3 cm. |
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Completeness Report: |
Data set was found to be complete. See the Acceptance Report for more detailed information. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
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Approximate Percentage of Budget for these Data Devoted to Data Management: | Unknown |
Do these Data Comply with the Data Access Directive?: | Yes |
Actual or Planned Long-Term Data Archive Location: | NCEI-CO |
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?: |
Data is backed up to tape and to cloud storage. |
Lineage
Lineage Statement: |
Watershed Sciences Inc. has collected Light Detection and Ranging (LIDAR) data in the Harney Basin Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). NOAA OCM has taken the data and ingested it into the Digital Coast Data Access Viewer for distribution. |
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Sources
processed lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Watershed Sciences, Inc |
raw lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Watershed Sciences, Inc |
Process Steps
Process Step 1
Description: |
Acquisition. LiDAR data acquisition was conducted from June 06 to June 20, 2016. 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. |
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Process Date/Time: | 2016-05-28 00:00:00 |
Process Step 2
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. |
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Process Date/Time: | 2016-07-05 00:00:00 |
Source: | raw lidar data |
Process Step 3
Description: |
NOAA/OCM received the data from DOGAMI in LAZ format (compressed LAS). Data were in NAD83(2011) Oregon Lambert horizontally and NAVD88 (Geoid12a) vertically. All units were international feet. For ingest into the Digital Coast Data Access Viewer, data were converted to NAD83(2011) geographic coordinates with NAD83(2011) ellipsoid heights in meters. |
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Process Date/Time: | 2019-08-29 00:00:00 |
Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Source: | processed lidar data |
Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2016 OLC Lidar DEM: Canyon Creek, OR DEMs derived from this point cloud |
Catalog Details
Catalog Item ID: | 57326 |
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GUID: | gov.noaa.nmfs.inport:57326 |
Metadata Record Created By: | Kirk Waters |
Metadata Record Created: | 2019-08-29 10:07+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2022-03-16 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-03-16 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-03-16 |