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Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2016 OLC Lidar: Canyon Creek, OR, https://www.fisheries.noaa.gov/inport/item/57326.
Full Citation Examples

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).

Distribution Information

  • 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.

  • LAS/LAZ - LASer

    Bulk download of point cloud data files in LAZ format, geographic coordinates, orthometric heights.

Access Constraints:

None

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

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

Geographic Area 1

-119.529° W, -118.716° E, 44.345° N, 44.134° S

Canyon Creek, OR

Time Frame 1
2016-06-07 - 2016-06-20

Collection time for the lidar.

Item Identification

Title: 2016 OLC Lidar: Canyon Creek, OR
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
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
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
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

CC ID: 870396
Date Effective From: 2019
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

CC ID: 870397
Date Effective From: 2019
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

CC ID: 870398
Date Effective From: 2019
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

CC ID: 870399
Date Effective From: 2019
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1142718
W° Bound: -119.529
E° Bound: -118.716
N° Bound: 44.345
S° Bound: 44.134
Description

Canyon Creek, OR

Extent Group 1 / Time Frame 1

CC ID: 1142717
Time Frame Type: Range
Start: 2016-06-07
End: 2016-06-20
Description:

Collection time for the lidar.

Spatial Information

Spatial Resolution

Horizontal Distance: 0.35 Meter

Spatial Representation

Representations Used

Vector: Yes

Vector Representation 1

CC ID: 870409
Point Object Present?: Yes

Reference Systems

Reference System 1

CC ID: 1142715

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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

CC ID: 870400
Start Date: 2019-08-29
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

CC ID: 870401
Start Date: 2019-08-29
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

CC ID: 870402
URL: https://coast.noaa.gov/dataviewer/
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

CC ID: 870403
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_canyon_creek_area_m8849.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 870404
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_OLC_Canyon_Creek_Acceptance_Report.pdf
Name: Acceptance and QA report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Report by DOGAMI describing data quality tests and results.

URL 4

CC ID: 870405
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_OLC_Canyon_Creek_SIGNED_UPDATED.pdf
Name: Project Report
URL Type:
Online Resource
File Resource Format: pdf
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.

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
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.

Sources

processed lidar data

CC ID: 1142710
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Watershed Sciences, Inc

raw lidar data

CC ID: 1142711
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Watershed Sciences, Inc

Process Steps

Process Step 1

CC ID: 1142712
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.

Process Date/Time: 2016-05-28 00:00:00

Process Step 2

CC ID: 1142713
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.

Process Date/Time: 2016-07-05 00:00:00
Source: raw lidar data

Process Step 3

CC ID: 1142714
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.

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
Data Set (DS) Cross Reference 2016 OLC Lidar DEM: Canyon Creek, OR

DEMs derived from this point cloud

Catalog Details

Catalog Item ID: 57326
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