gov.noaa.nmfs.inport:49908
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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
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NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
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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)
2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Willamette Valley
or2009_dogami_willamette_m1078_metadata
2012-02
publication
NOAA/NMFS/EDM
49908
https://www.fisheries.noaa.gov/inport/item/49908
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Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/dataviewer
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Citation URL
Online Resource
download
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Online Resource
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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 in 17 delivery areas from August 31, 2008 through July 1, 2009. See below for the specific date
of collection and total area covered for each delivery. This data set covers 3157 square miles (2,020,760 square acres) and falls in
portions of the following counties in northwestern Oregon: Benton, Clackamas, Clatsop, Columbia, Lane, Linn, Polk, Marion, Washington,
and Yamhill. This data set consists of bare earth and unclassified points. The average pulse density is 8.14 points per
square meter over terrestrial surfaces. 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.
This LiDAR data set was collected on different dates and organized into 17 deliveries. To determine which delivery or deliveries are in
your area of interest, download the Delivery Area graphic at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1078/supplemental/2009_dogami_oregon_lidar_willamette_valley.pdf
The specific date of collection and total area covered for each delivery are listed below.
Delivery 1: Acquisition Date: 20081022-20081024 Total Area = 32,150 sq acres
Delivery 2: Acquisition Date: 20080831-20090222 Total Area = 67,377 sq acres
Delivery 3: Acquisition Date: 20080831-20080914 Total Area = 89,974 sq acres
Delivery 4: Acquisition Date: 20080831-20090222 Total Area = 136,997 sq acres
Delivery 5: Acquisition Date: 20080831-20080914 Total Area = 136,424 sq acres
Delivery 6: Acquisition Date: 20080831-20080921 Total Area = 157,904 sq acres
Delivery 7: Acquisition Date: 20080831-20080921 Total Area = 65,249 sq acres
Delivery 8: Acquisition Date: 20080831-20090405 Total Area = 155,491 sq acres
Delivery 9: Acquisition Date: 20080914-20090315 Total Area = 147,742 sq acres
Delivery 10: Acquisition Date: 20081005-20090315 Total Area = 125,480 sq acres
Delivery 11: Acquisition Date: 20081005-20081111 Total Area = 89,804 sq acres
Delivery 12: Acquisition Date: 20080928-20090315 Total Area = 89,161 sq acres
Delivery 13: Acquisition Date: 20080917-20090701 Total Area = 177,375 sq acres
Delivery 14: Acquisition Date: 20090518-20090616 Total Area = 96,010 sq acres
Delivery 15: Acquisition Date: 20081010-20090607 Total Area = 191,635 sq acres
Delivery 16: Acquisition Date: 20080907-20090627 Total Area = 151,037 sq acres
Delivery 17: Acquisition Date: 20081019-20090609 Total Area = 110,950 sq acres
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/geoid18/1078/supplemental/2009_Oregon_DOGAMI_Willamette_Valley_Lidar.kmz
This graphic shows the lidar coverage for the Willamette Valley project 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]: 2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Willamette Valley [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49908.
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
49908
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49908.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
-123.5
-121.960531
43.921676
45.825
| Currentness: Ground Condition
2008-08-31
2009-07-01
A final report for this project may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1078/supplemental/WV_Data_Report_Delivery_Area_15_16_17_FINAL.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1078/supplemental/2009_Oregon_DOGAMI_Willamette_Valley_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=1078
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/geoid18/1078/index.html
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Bulk Download
Simple download of data files.
download
dataset
Horizontal Positional Accuracy
Project specifications required the LiDAR foot print to fall within 0.15 and 0.40 meters.
Vertical Positional Accuracy
Absolute accuracy compares known Real Time Kinematic (RTK) ground survey points to the closest laser point. For the Willamette Valley
Phase I Study Area, 38,371 RTK points were collected for data delivered. The final vertical accuracy value for the entire project
is 0.13 ft (0.04 m) RMSE.
Completeness Report
LiDAR data has been collected and processed for all areas within the project study area.
Conceptual Consistency
Upon receipt from vendor (Watershed Sciences), 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 data was collected between August 31, 2008 and July 1, 2009. The survey used a Leica ALS50 Phase II laser system
mounted in a Cessna Caravan 208B. The system was set to acquire greater than or equal to 105,000 laser pulses per second
(i.e. 105 kHz pulse rate)and flown at 900 meters above ground level (AGL), capturing a scan angle of plus or minus 14 degrees
from nadir. These settings were developed to yield points with an average native density of > or = 8 points per square meter
over terrestrial surfaces. The native pulse density is the number of pulses emitted by the LiDAR system. Some types of
surfaces (i.e. dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered
density can be less than the native density and lightly variable according to distributions of terrain, land cover, and
water bodies. The completed areas were surveyed with opposing flight line side-lap of greater than or equal to 50 percent
(greater than or equal to 100 percent overlap) to reduce laser shadowing and increase surface laser painting. The system
allows up to four range measurements per pulse, and all discernible laser returns were processed for the output dataset.
During the LiDAR survey of the study area, a static (1 Hz recording frequency) ground survey was conducted over monuments
with known coordinates. After the airborne survey, the static GPS data are processed using triangulation with CORS stations
checked against the Online Positioning User Service (OPUS) to quantify daily variance. Multiple sessions are processed over
the same monument to confirm the antenna height measurements and reported position accuracy. Multiple DGPS units are used
for the ground real-time kinematic (RTK) portion of the survey. To collect accurate ground surveyed points, a GPS base unit
is set up over monuments to broadcast a kinematic correction to a roving GPS unit. The ground crew uses a roving unit to
receive radio-relayed kinematic corrected positions from the base unit. This method is referred to as real-time kinematic
(RTK) surveying and allows precise location measurement (sigma less than or equal to 1.5 cm (0.6 in)).
2009-01-01T00:00:00
1. Laser point coordinates are computed using the IPAS and ALS Post Processor software suites based on independent data from the
LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) are assigned
an associated (x, y, z) coordinate along with unique intensity values (0 to 255). The data are output into large LAS v. 1.1 files;
each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation)
information.
2. These initial laser point files are too large to process. To facilitate laser point processing, bins (polygons) are created to divide
the dataset into manageable sizes (less than 500 MB). Flightlines and LiDAR data are then reviewed to ensure complete coverage of the study area
and positional accuracy of the laser points.
3. Once the laser point data are imported into bins in TerraScan, a manual calibration is performed to assess the system offsets for pitch,
roll, heading, and mirror scale. Using a geometric relationship developed by Watershed Sciences, each of these offsets is resolved and
corrected if necessary.
4. The LiDAR points are then filtered for noise, pits, and birds by screening for absolute elevation limits, isolated points, and height
above ground. Each bin is then inspected for pits and birds manually; spurious points are removed. For a bin containing approximately
7.5 to 9.0 million points, an average of 50 to 100 points are typically found to be artificially low or high. These spurious non-terrestrial
laser points must be removed from the dataset. Common sources of non-terrestrial returns are clouds, birds, vapor, and haze.
5. The internal calibration is refined using TerraMatch. Points from overlapping lines are tested for internal consistency and final
adjustments are made for system misalignments (i.e., pitch, roll, heading offsets and mirror scale). Automated sensor attitude and
scale corrections yield 3 to 5 cm improvements in the relative accuracy. Once the system misalignments are corrected, vertical GPS drift
is then resolved and removed per flight line, yielding a slight improvement (less than 1 cm) in relative accuracy. At this point in
the workflow, data have passed a robust calibration designed to reduce inconsistencies from multiple sources (i.e. sensor attitude offsets,
mirror scale, GPS drift) using a procedure that is comprehensive (i.e. uses all of the overlapping survey data). Relative accuracy
screening is complete.
6. The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence
begins by 'removing' all points that are not 'near' the earth based on geometric constraints used to evaluate multi-return points.
The resulting bare earth (ground) model is visually inspected and additional ground point modeling is performed in site-specific areas
(over a 50 meter radius) to improve ground detail. This is only done in areas with known ground modeling deficiencies,
such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, ground point classification
includes known vegetation (i.e., understory, low/dense shrubs, etc.) and these points are manually reclassified as non-grounds.
2009-01-01T00:00:00
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 Oregon Lambert (NAD83), International Feet coordinates
and NAVD88 (Geoid 03) vertical datum. OCM performed the following processing to the data to make it available within
the Digital Coast:
1. The data were converted from Oregon Lambert (NAD83), International Feet coordinates to geographic coordinates.
2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03.
3. The vertical units of the data were converted from International feet to meters.
4. The data were sorted by latitude and the headers were updated.
2011-01-01T00:00:00