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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

Browse graphic

Short Citation
OCM Partners, 2024: 2013 OLC Lidar: West Ochoco, OR, https://www.fisheries.noaa.gov/inport/item/57384.
Full Citation Examples

Abstract

The dataset encompasses 474 square miles in the Ochoco National Forest of Oregon, including portions of Crook, Jefferson, and Wheeler Counties, Oregon. Lidar was collected by Watershed Sciences, Inc., for the Oregon Department of Geology and Mineral Industries (DoGAMI) with 8 points per square meter during 2013.

Distribution Information

  • LAS/LAZ - LASer

    Bulk download of LAZ point cloud files

  • 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.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-120.50945° W, -119.85479° E, 44.564071° N, 44.188146° S

Ochoco project area, OR

Time Frame 1
2013-05-20 - 2013-06-16

Collection time for the lidar.

Item Identification

Title: 2013 OLC Lidar: West Ochoco, OR
Short Name: 2013 West Ochoco m8857
Status: Completed
Publication Date: 2019-09-10
Abstract:

The dataset encompasses 474 square miles in the Ochoco National Forest of Oregon, including portions of Crook, Jefferson, and Wheeler Counties, Oregon. Lidar was collected by Watershed Sciences, Inc., for the Oregon Department of Geology and Mineral Industries (DoGAMI) with 8 points per square meter during 2013.

Purpose:

This dataset provides high resolution terrain elevation and land cover elevation data in the Ochoco West study 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 > Lower Malheur River

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: 871477
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: 871478
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: 871479
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: 871480
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: 1142769
W° Bound: -120.50945
E° Bound: -119.85479
N° Bound: 44.564071
S° Bound: 44.188146
Description

Ochoco project area, OR

Extent Group 1 / Time Frame 1

CC ID: 1142768
Time Frame Type: Range
Start: 2013-05-20
End: 2013-06-16
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: 871500
Point Object Present?: Yes

Reference Systems

Reference System 1

CC ID: 1142766

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: 871482
Start Date: 2019-09-10
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8857/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present)
File Name: Bulk Download
Description:

Bulk download of LAZ point cloud files

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

Distribution 2

CC ID: 871481
Start Date: 2019-08-29
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8857
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

URLs

URL 1

CC ID: 871483
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: 871484
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8857/supplemental/2013_west_ochoco_area_m8857.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: 871485
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8857/supplemental/2013_OLC_Ochoco_West_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: 871486
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8857/supplemental/OLC_Ochoco_West_2013_Survey_Report.pdf
Name: Survey 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 compares the delivered bare-earth digital elevation models (DEMS) with independent ground check points (GCPs) collected by DOGAMI staff. These variations in elevation values were used to produce a mean vertical error and vertical root mean square error (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 4,400 independently measured GCPs were obtained in the OLC Ochoco West project area. The data delivered to DOGAMI was found to have a mean vertical offset of 0.005 meters (0.017 feet) and an RMSE value of 0.047 meters (0.154 feet).

Completeness Measure:

100%

Completeness Report:

DOGAMI examines all data associated with this delivery to ensure that all required data products are present and function correctly. Quality control review is conducted on every data file delivered to DOGAMI. Lidar ASCII Standard (LAS) point files have been loaded into TerraSolid and ArcGIS to ensure complete and correct lidar data coverage and file integrity. Raster and vector files have been viewed in ArcMap and cross referenced with the delivery area to ensure proper coverage, extent and integrity. Metadata content is reviewed by using a visual check as well as analysis by the USGS Geospatial Metadata validation service.

Conceptual Consistency:

Consistency Analysis: Consistency refers to lidar elevation differences between overlapping flight lines. Consistency errors are created by poor lidar system calibration settings associated with sensor platform mounting. Errors in consistency manifest as vertical offsets between individual flight lines. Lidar flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and the vertical offsets between flight line must be less than 0.15m (0.49 feet).

Consistency offsets were measured using the 'Find Match' tool within the TerraMatch software toolset. This tool uses aircraft trajectory information linked to the lidar point cloud to quantify flight line-to-flight line offsets. To quantify the magnitude of this error 2,278 delivered data tiles were examined for vertical offset between flight lines. Data tiles with less than 1000 points were not used in analysis. Selection of tiles aimed to evenly sample the delivered spatial extent of data. Each tile measured 750 x 750 meters in size. Within each tile, we selected all ground classified points from each flight line, and compared the elevations of the points in each set of overlapping lines. The average number of points used for flight line comparison was 16,314,783 per tile. Error measurements were calculated by differencing the nearest point from an adjacent flight line within 1 meter in the horizontal plane and 0.2 meters in the vertical plane. Each flight line was compared to adjacent flight lines, and the average magnitude of vertical error was calculated. A total of 401 flight lines were sampled and compared for consistency. Results of the consistency analysis found the average flight line offset to be 0.03 meters with a maximum error of 0.039. Distribution of error showed 100% of all error was less than 0.04m. These results show that all data are within tolerances of data consistency according to contract agreement.

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 Ochoco West 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: 1142761
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Watershed Sciences, Inc

raw lidar data

CC ID: 1142762
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Watershed Sciences, Inc

Process Steps

Process Step 1

CC ID: 1142763
Description:

Acquisition.

LiDAR data acquisition occured on May 20, 2013 and from June 5 to June 16, 2013. The survey utilized an ALS60 laser system mounted in a Cessna Caravan 208B. 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/Time: 2013-06-16 00:00:00

Process Step 2

CC ID: 1142764
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.

Process Date/Time: 2013-07-31 00:00:00
Source: raw lidar data

Process Step 3

CC ID: 1142765
Description:

NOAA/OCM received the data from DOGAMI in LAZ format . Data had georeferencing set to NAD83(HARN) Oregon North but were found to be 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 geographic coordinates and NAD83(2011) ellipsoid heights in meters.

Process Date/Time: 2019-09-10 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 2013 OLC Lidar DEM: West Ochoco, OR

DEM created from this point cloud

Catalog Details

Catalog Item ID: 57384
GUID: gov.noaa.nmfs.inport:57384
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2019-09-10 08:44+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