49757 id2015_olc_big_wood_m6344_metadata Data Set Published / External 49401 Lidar - 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. 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 Provide high resolution terrain elevation data. 10401 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 Theme ISO 19115 Topic Category elevation Theme Bare earth Theme Bare ground 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), 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=6344 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.amazonaws.com/laz/geoid18/6344/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. 2018-03-13 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 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. 2017-05-01T00:00:00 gov.noaa.nmfs.inport:49757 Anne Ball 2017-11-15T15:22:06 SysAdmin InPortAdmin 2022-08-09T17:11:36 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16