49429
2015 OLC Lidar DEM: Big Wood, ID
id2015_olc_big_wood_DEM_m6345_metadata
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2017-09-15
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. 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
Provide high resolution terrain elevation data.
12096
A final report for this project may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6344/supplemental/2015_OLC_Big_Wood_Data_Report.pdf
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > IDAHO
Theme
Bare earth
Theme
Bare ground
Theme
DEM
Theme
DOGAMI
Theme
High-resolution
Theme
Light Detection and Ranging
Office for Coastal Management
Charleston
SC
Data Set
None Planned
Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), FEMA, the Office for Coastal Management or its partners.
DOGAMI
Data Steward
2017-09-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2017-09-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2017-09-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2017-09-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-114.906
-113.9812
43.7887
42.8577
Range
2015-04-11
2015-07-02
Yes
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer
;
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6345
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_big_wood_2015_6345/index.html
Bulk Download
Simple download of data files.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2017-09-12
Date that the source FGDC record was last modified.
2017-11-14
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.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-02-13
Partial upload to move data access links to Distribution Info.
unknown
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.
LiDAR data has been collected and processed for all areas within the project study area.
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.
1
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).
2015-01-01T00:00:00
2
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 using gdal_translate from GDAL version 2.1.1.
2017-06-01T00:00:00
gov.noaa.nmfs.inport:49429
Anne Ball
2017-11-15T15:13:10
Kirk Waters
2024-01-10T18:57:40
2024-01-10
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16