gov.noaa.nmfs.inport:49429 eng UTF8 dataset OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2015 OLC Lidar DEM: Big Wood, ID id2015_olc_big_wood_DEM_m6345_metadata 2017-09-15 publication NOAA/NMFS/EDM 49429 https://www.fisheries.noaa.gov/inport/item/49429 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download 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. DOGAMI completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > IDAHO place Global Change Master Directory (GCMD) Location Keywords 20.8 Bare earth Bare ground DEM DOGAMI High-resolution Light Detection and Ranging theme DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2015 OLC Lidar DEM: Big Wood, ID [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49429. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions 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. otherRestrictions 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), FEMA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49429 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49429.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US elevation -114.906 -113.9812 42.8577 43.7887 | Currentness: Ground Condition 2015-04-11 2015-07-02 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 NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6345 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_big_wood_2015_6345/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset 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. 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 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