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Short Citation:
OCM Partners, 2023: 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Big Windy, https://www.fisheries.noaa.gov/inport/item/49450.

Item Identification

Title: 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Big Windy
Short Name: or2013_dogami_big_windy_DEM_m6316_metadata
Status: Completed
Publication Date: 2017-06-20
Abstract:

In July of 2013, lightning strikes ignited three wildfires in southwest Oregon that became known as the Big Windy Complex. The fires were fully contained by the end of September after burning 27,555 acres of land owned by the Bureau of Land Management and protected by the Oregon Department of Forestry.

WSI has collected Light Detection and Ranging (LiDAR) data for the BLM Fires study area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's BLM Fires area of interest (AOI) encompasses approximately 123,340 acres in Curry, Douglas and Jefferson counties in Oregon. The entire AOI lies within the Rogue River LiDAR dataset collected in 2012.

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.

Between September 26 and October 23, 2013, WSI employed remote-sensing lasers in order to obtain a total area flown of 127,340 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter.

Final products created include LiDAR point cloud data, one meter digital elevation models of bare earth ground model and highest-hit returns, intensity rasters, ground density rasters, orthophotos, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. This metadata was created for the bare earth digital elevation models.

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 following a fire.

Notes:

12116

Supplemental Information:

A final report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6315/supplemental/2013_OLC_BLM_Fires_Data_Report.pdf

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare earth
None Bare ground
None DEM
None DOGAMI
None High-resolution
None Light Detection and Ranging

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON

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: 663287
Date Effective From: 2017-06-20
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: 663289
Date Effective From: 2017-06-20
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: 663290
Date Effective From: 2017-06-20
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: 663288
Date Effective From: 2017-06-20
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: 1150799
W° Bound: -123.834426
E° Bound: -123.4199
N° Bound: 42.8963
S° Bound: 42.549299

Extent Group 1 / Time Frame 1

CC ID: 1150798
Time Frame Type: Range
Start: 2013-09-26
End: 2013-10-23

Spatial Information

Spatial Representation

Representations Used

Grid: 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: 720959
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6310
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: 720960
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_big_windy_2015_6310
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 720962
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 720963
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 663315
Activity Date/Time: 2017-07-06
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 663314
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: 718521
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 720961
Activity Date/Time: 2018-02-13
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 RTK ground survey points to the closest laser point. Vertical accuracy statistical analysis uses ground control 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 BLM Fires study area, 1,744 RTK points were collected.

For this project, no independent survey data were collected, nor were reserved points collected for testing. As such, vertical accuracy statistics are reported as "Compiled to Meet."

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: 0.03 meters, Test that produced the value: Compiled to meet root mean square error 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: 1150795
Description:

The LiDAR survey occurred in September and October 2013, utilizing a Leica ALS50 sensor mounted in a Cessna Caravan. The system was programmed to emit single pulses at a rate of 96 to 105 kilohertz, and flown at 900 meters above ground level (AGL), capturing a scan angle of 15 degrees from nadir (field of view equal to 30 degrees). These settings are 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: 2013-01-01 00:00:00

Process Step 2

CC ID: 1150796
Description:

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

Catalog Details

Catalog Item ID: 49450
GUID: gov.noaa.nmfs.inport:49450
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:13+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