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

Summary

Short Citation
OCM Partners, 2024: 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Big Wood, ID, https://www.fisheries.noaa.gov/inport/item/49757.
Full Citation Examples

Abstract

Quantum Spatial has collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Big Wood 2015 study area. This study area is located in southern Central Idaho.

The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. In April 2015 QSI employed remote-sensing lasers in order to obtain a total area flown of acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter.

Final products created include RGB extracted (from NAIP imagery) LiDAR point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, study area vector shapes, and corresponding statistical data. Final deliverables are projected in UTM Zone 11. Lidar point clouds were projected back to geographic coordinates and ellipsoid heights for storage in the Digital Coast Data Access Viewer. Custom processing may have further changed the projection and datums. See the spatial reference information and processing steps for details.

Original contact information:

Contact Name: Jacob Edwards

Contact Org: DOGAMI

Phone: 971-673-1557

Email: jacob.edwards@oregon.gov

Distribution Information

  • Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

  • Simple download of data files.

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

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

-114.906° W, -113.9812° E, 43.7887° N, 42.8577° S

Time Frame 1
2015-04-11 - 2015-07-02

Item Identification

Title: 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Big Wood, ID
Short Name: id2015_olc_big_wood_m6344_metadata
Status: Completed
Publication Date: 2017-09-15
Abstract:

Quantum Spatial has collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Big Wood 2015 study area. This study area is located in southern Central Idaho.

The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. In April 2015 QSI employed remote-sensing lasers in order to obtain a total area flown of acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter.

Final products created include RGB extracted (from NAIP imagery) LiDAR point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, study area vector shapes, and corresponding statistical data. Final deliverables are projected in UTM Zone 11. Lidar point clouds were projected back to geographic coordinates and ellipsoid heights for storage in the Digital Coast Data Access Viewer. Custom processing may have further changed the projection and datums. See the spatial reference information and processing steps for details.

Original contact information:

Contact Name: Jacob Edwards

Contact Org: DOGAMI

Phone: 971-673-1557

Email: jacob.edwards@oregon.gov

Purpose:

Provide high resolution terrain elevation data.

Notes:

10401

Supplemental Information:

A final report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6344/supplemental/2015_OLC_Big_Wood_Data_Report.pdf

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare earth
None Bare ground
None DOGAMI
None High-resolution
None Light Detection and Ranging

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
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.

Data Set Credit: DOGAMI

Support Roles

Data Steward

CC ID: 675803
Date Effective From: 2017-09-15
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: 675805
Date Effective From: 2017-09-15
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: 675806
Date Effective From: 2017-09-15
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: 675804
Date Effective From: 2017-09-15
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: 1140065
W° Bound: -114.906
E° Bound: -113.9812
N° Bound: 43.7887
S° Bound: 42.8577

Extent Group 1 / Time Frame 1

CC ID: 1140064
Time Frame Type: Range
Start: 2015-04-11
End: 2015-07-02

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer

;

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: 741171
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6344
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 741172
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6344/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 741174
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 741175
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 675827
Activity Date/Time: 2017-09-12
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 675826
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718319
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 741173
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

unknown

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 Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2004). 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 Big Wood study area, a total of 2,069 GSPs were collected. An additional 189 reserved ground survey points were collected for independent verification, resulting in a fundamental vertical accuracy (FVA) of 0.072 meters.

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 Value: 0.072 meters, Test that produced the value: Tested to meet FVA at a 95 percent confidence level in meters.

Completeness Report:

LiDAR data has been collected and processed for all areas within the project study area.

Conceptual Consistency:

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.

Lineage

Process Steps

Process Step 1

CC ID: 1140061
Description:

The LiDAR survey occurred between April 11, 2015 and July 2, 1015 utilizing a Leica ALS70 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 198 kHz and flown at 1,400 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces.

To solve for laser point position, an accurate description of aircraft position and attitude is vital. Aircraft position is described as x, y, and z and was measured twice per second (two hertz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 hertz) from an onboard inertial measurement unit (IMU).

Process Date/Time: 2015-01-01 00:00:00

Process Step 2

CC ID: 1140062
Description:

The NOAA Office for Coastal Management (OCM) received the files in laz format. The files contained Lidar elevation and intensity measurements. The data were in UTM zone 11 (NAD83 2011 Epoch 2010.0) and NAVD88 (Geoid12a) meters. OCM performed the following processing to the data to make it available within the Digital Coast:

1. The data were converted from UTM coordinates to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights to NAD83(2011) ellipsoid heights using Geoid12a grids.

The data was received without a metadata record. This record was produced based on the data quality report.

Process Date/Time: 2017-05-01 00:00:00

Catalog Details

Catalog Item ID: 49757
GUID: gov.noaa.nmfs.inport:49757
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:22+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+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