gov.noaa.nmfs.inport:49914
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)
2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Klamath Study Area
or2010_dogami_klamath_m1410_metadata
2012
publication
NOAA/NMFS/EDM
49914
https://www.fisheries.noaa.gov/inport/item/49914
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/dataviewer
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
https://coast.noaa.gov
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high
resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed
as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals.
This LiDAR data set was collected over six deliveries from September 14 through October 27, 2010 and encompasses portions of Klamath
and Lake counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.61 pulses
per square meter over terrestrial surfaces. The area of interest (AOI) totals 1054 square miles (674,756 acres) and the total area
flown (TAF) covers 1083 square miles (692,999 acres). The TAF acreage is greater than the original AOI acreage due to buffering
and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey.
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values
for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity
values were also collected.
Dates of acquisition for the six deliveries that make up this data set.
Delivery Area Acquisition Dates AOI Acres TAF Acres
1 Sept 14 - 22, 2010 104,196 106,995
2 Sept 20 - Oct 18, 2010 67,937 71,599
3 Sept 14 - Oct 16, 2010 127,789 131,580
4 Oct 6 - 27, 2010 155,387 157,875
5 Sept 23 - Oct 18, 2010 92,762 95,612
6 Sept 27 - Oct 16, 2010 126,685 129,338
Original contact information:
Contact Name: Ian Madin
Contact Org: DOGAMI
Phone: 971-673-1542
Email: ian.madin@dogami.state.or.us
Provide high resolution terrain elevation and land cover 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
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/2010_Oregon_DOGAMI_Klamath_Lidar.kmz
This graphic shows the lidar coverage for the Klamath Study Area.
kmz
Bare earth
Bare ground
DOGAMI
High-resolution
Light Detection and Ranging
theme
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Klamath Study Area [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49914.
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), the Office for Coastal Management or its partners.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49914
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49914.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
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.0.1324
-122.193846
-120.811946
42.134116
43.073016
| Currentness: Ground Condition
2010-09-14
2010-10-27
The final LiDAR Report for the Klamath study area may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/OLC_Klamath_Delivery_6.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/2010_Oregon_DOGAMI_Klamath_Lidar.kmz
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=1410
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.amazonaws.com/laz/geoid18/1410/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
Horizontal Positional Accuracy
Not specified in final report, assumed to be 1 m.
Vertical Positional Accuracy
The Root Mean Square Error (RMSE) of the data is 0.03 meters (0.11 ft). Accuracy was assessed using 6,862 ground survey (real time
kinematic) points. These ground survey points are distributed throughout the OLC Klamath study area.
The final LiDAR Report for the Klamath study area may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/OLC_Klamath_Delivery_6.pdf
Completeness Report
LiDAR data has been collected and processed for all areas within the project study area.
Conceptual Consistency
LiDAR flight lines have been examined to ensure that there was at least 50 percent sidelap, there are no gaps between flightlines, and
overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as
pits, border artifacts, gaps, and shifting. The data were examined at the 1:3000 scale.
No metadata for the lidar point data was provided to NOAA OCM with this data set. The following process step contains information
derived from the metadata record for the DEM (Digital Elevation Model), which is a product of the lidar point data, and the Watershed
Sciences, Inc. lidar report. This lidar report may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/OLC_Klamath_Delivery_6.pdf
Acquisition
1. Lidar data acquisition began September 14,2010 and was completed October 27, 2010.
2. The survey used both a Leica ALS50 Phase II and a Leica ALS60 laser system mounted in a Cessna Caravan 208B.
3. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces.
4. Ground level GPS and aircraft IMU were collected during the flight.
Processing
1. 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 survey points collected to verify the vertical and
horizontal accuracies.
9. Points were output as laser points, TINed and GRIDed surfaces
2010-01-01T00:00:00
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained LiDAR
elevation and intensity measurements. The data were in OGIC HARN, Oregon Statewide Lambert Conformal Conic Projection (NAD83/HARN),
NAVD88 (Geoid03) vertical datum and International Feet. OCM performed the following processing for data storage and Digital Coast
provisioning purposes:
1. The data were converted from OGIC HARN, Oregon Statewide Lambert Conformal Conic Projection (NAD83/HARN) to geographic coordinates.
2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid03.
3. The data were converted from International Feet to meters.
4. The data were sorted by time and zipped to laz format.
2012-12-01T00:00:00