gov.noaa.nmfs.inport:58750
eng
UTF8
dataset
Elevation
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)
point
10976709378
2017 OLC Lidar: Big Windy, OR
2020-02-03
creation
publication
NOAA/NMFS/EDM
58750
https://www.fisheries.noaa.gov/inport/item/58750
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9010/supplemental/OLC_BigWindy_2017_Report.pdf
WWW:LINK-1.0-http--link
Project Report
Link to project report for this dataset as PDF.
download
https://coast.noaa.gov/dataviewer/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.
download
This dataset represents the Oregon LiDAR Consortium Big Windy project area. The dataset encompasses 131,357 acres in Josephine, Douglas, and Curry Counties, Oregon. The nominal pulse density is eight pulses per square meter. The native projection is Oregon Statewide Lambert, Lambert Conformal Conic, units are in international feet. The native horizontal datum is NAD83(2011) and the native vertical datum is NAVD88 (Geoid 12B). Quantum Geospatial Inc. collected the lidar and created this dataset for the Oregon Department of Geology and Mineral Industries (DOGAMI).
OCM received 472 LAZ files from the Oregon Lidar Consortium and processed them to the Data Access Viewer (DAV) as well as html. Additionally, bare-earth DEM files at 3-foot horizontal resolution are available and may be found in the Related Items section below.
This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards.
Oregon Department of Geology and Mineral Industries (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
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9010/supplemental/extent_2017_BigWindy_m9010.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
VERTICAL LOCATION > LAND SURFACE
place
Global Change Master Directory (GCMD) Location Keywords
17.0
LIDAR > Light Detection and Ranging
instrument
Global Change Master Directory (GCMD) Instrument Keywords
17.2
Airplane > Airplane
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
bare earth
digital terrain model (DTM)
hillshade
intensity
lidar
quadrangle
Josephine County
North America
Oregon
USA
theme
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus
beach
erosion
theme
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2017 OLC Lidar: Big Windy, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58750.
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: Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. Acknowledgement of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data.
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
58750
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58750.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
elevation
LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.3.1, Windows 7 Operating System
-123.91
-123.4
42.5
42.9
LIdar collection dates | Currentness: Ground Condition
2017-06-18
2017-06-21
The data were collected for the Oregon Department of Geology and Mineral Industries by Quantum Spatial Inc. under State of Oregon Agency-Specific Price Agreement 7525. The price agreement specifies in Section 2.2 that the Quantum Spatial Inc. provide classified LAS files, intensity grids, digital elevation models (DEMs), digital surface models (DSMs), vector files, and a survey report.
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "Exhibit A of Amendment 7 to Price Agreement 7525",
"ldrsens" : "Leica ALS80",
"ldrmaxnr" : "unlimited",
"ldrnps" : "0.35 m",
"ldrdens" : "8 PPSM",
"ldranps" : "0.35 m",
"ldradens" : "8 PPSM",
"ldrfltht" : "1500 m",
"ldrfltsp" : "140 kts",
"ldrscana" : "40 degrees",
"ldrscanr" : "52.0 Hz",
"ldrpulsr" : "357.2 kHz",
"ldrpulsd" : "3 ns",
"ldrpulsw" : "0.25 m",
"ldrwavel" : "1064 nm",
"ldrmpia" : "1",
"ldrbmdiv" : "0.25 mrad",
"ldrswatw" : "1092 m",
"ldrswato" : "60%",
"ldrgeoid" : "Geoid 12A"
},
"ldraccur" : {
"ldrchacc" : "0.5",
"rawnva" : "0.092 m",
"rawnvan" : "172"
},
"lasinfo" : {
"lasver" : "1.2",
"lasprf" : "3",
"laswheld" : "Not applicable",
"lasolap" : "Not applicable",
"lasintrz" : "16",
"lasclass" : {
"clascode" : "1",
"clasitem" : "Undetermined/Unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Ground"
}
}}
Zip
Zip
LAS/LAZ - LASer
Zip
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=9010
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9010/index.html
WWW:LINK-1.0-http--link
Bulk Download
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document.
download
dataset
Vertical Positional Accuracy
State of Oregon Agency-Specific Price Agreement 7525 required that Quantum Spatial Inc. calculate fundamental vertical accuracy of lidar point data by comparing ground control points (GCPs) on flat surfaces in areas where ground classified point resolution is both high, and the ground surface is open, smooth and without vegetation, to a local triangulated irregular network (TIN) surface of ground classified points.
The vertical accuracy was tested using 1,200 ground control points (GCPs). An additional 65 ground survery points were collected and reserved for independent verification, resulting in a non-vegetated vertical accuracy (NVA) of 0.053 meters (5.3 cm), or 0.173 feet. RMSE = 2.7 cm.
Completeness Report
A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.
Conceptual Consistency
Data covers the entire area specified for this project.
Lidar data acquisition began on June 18th, 2017 and was completed June 21, 2017. The survey utilized the Leica ALS80 laser systems mounted in a Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
Processing.1. Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each flight line. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground control points collected to verify the vertical and horizontal accuracies.
9. Points were output as laser points, TINed and GRIDed surfaces.
2017-09-11T00:00:00
Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags were stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project were calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the client.
2017-09-13T00:00:00
The NOAA Office for Coastal Management (OCM) received 472 lidar point cloud files in laz format from DOGAMI. The files contained lidar elevation and intensity measurements. The data were in Oregon Lambert (NAD83 2011), international feet coordinates and NAVD88 (Geoid12B) elevations in international feet. The data were classified as: 1-Unclassified, 2-Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2.
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.
2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from Oregon Lambert (NAD83 2011), international feet coordinates to geographic coordinates, to convert from vertical units feet to meters, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http.
2019-10-21T00:00:00
NOAA Office for Coastal Management
(843) 740-1202
coastal.info@noaa.gov
processor
Source Contribution: These data were used to assess the vertical accuracy of the LiDAR point cloud data.
See the acceptance report for this project area.
Oregon Department of Geology and Mineral Industries (DOGAMI)
originator
2017-08-27
2017-09-11
Source Contribution: This data was used, along with GPS/IMU data, to georeference LIDAR point cloud data.
50
See the survey report PDF for this project area.
Quantum Spatial, Inc.
https://quantumspatial.com/
WWW:LINK-1.0-http--link
Quantum Spatial
Quantum Spatial
information
originator
2017-09-11
Source Contribution: These data was used to classify LiDAR point cloud data.
50
See the survey report PDF for this project area.
Quantum Spatial, Inc.
originator
2017-09-13