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Metadata Identifier: gov.noaa.csc.maps:2008_OR_DOGAMI_Ontario_m1158
MD_DataIdentification
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2008 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:
Ontario
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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. The Camp Creek study area was collected
December 3 - 10, 2008 and covers a portion of northeastern Malheur County. The total
flown area covers 261 square miles, or 167,324 acres. This data set consists of bare
earth and unclassified points. There are approximately 8 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.
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SV_Identification
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2008 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Ontario |
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Lidar Collection Report |
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None |
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North American Datum 1983 |
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resourceProvider |
http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269 |
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Citation URL |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/ontario/LiDAR_Data_Report_OLC_Ontario_4_24_09.pdf |
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NOAA CSC (originator) |
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DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
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csc.info@noaa.gov |
originator |
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NOAA CSC (publisher) |
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DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
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csc.info@noaa.gov |
publisher |
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NOAA CSC(distributor) |
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DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
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csc.info@noaa.gov |
distributor |
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NOAA CSC (processor) |
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DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
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csc.info@noaa.gov |
processor |
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EPSG Registry |
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European Petroleum Survey Group |
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publisher |
http://www.epsg-registry.org/ |
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Ian Madin |
DOGAMI |
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ian.madin@dogami.state.or.us |
pointOfContact |
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Mike Sutherland(author) |
Mike Sutherland |
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department
of Commerce
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mike.sutherland@noaa.gov |
author |
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Mike Sutherland |
Mike Sutherland |
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department
of Commerce
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mike.sutherland@noaa.gov |
distributor |
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Oregon Department of Geology and Mineral Industries (DOGAMI) |
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originator |
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Pamela Grothe |
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department
of Commerce
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processor |
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Watershed Sciences, Inc. |
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watershedsciences.com |
processor |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/ontario/LiDAR_Data_Report_OLC_Ontario_4_24_09.pdf |
Lidar Collection Report |
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information |
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http://www.epsg-registry.org/ |
European Petroleum Survey Group Geodetic Parameter Registry |
Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured
dataset of Coordinate Reference Systems and Coordinate Transformations.
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search |
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http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269 |
NAD83 |
Link to Geographic Markup Language (GML) description of reference system. |
information |
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Ellipsoid in Meters |
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urn:ogc:def:crs:EPSG::4269 |
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Bounding Box |
Temporal Extent |
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-117.262925 |
-116.892637 |
44.249903 |
43.568846 |
2008-12-03 |
2008-12-10 |
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-117.262925 |
-116.892637 |
44.249903 |
43.568846 |
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Lidar Use Limitation |
These data depict the elevations at the time of the survey and are only
accurate for that time. 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. Any conclusions
drawn from analysis of this information are not the responsibility of NOAA
or any of its partners. These data are NOT to be used for navigational purposes.
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Ellipsoid |
Ellipsoid in Meters |
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NAD83 |
urn:ogc:def:crs:EPSG::4269 |
North American Datum 1983 |
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Lidar Collection Report |
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crossReference |
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2008-01-01T00:00:00 |
The LiDAR data was collected between December 3, 2008 and December
10, 2008. 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 greater than or equal
to 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% (greater
than or equal to 100% 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 were 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)). For the
Ontario study area 2175 RTK points were collected.
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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 (0-255). 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 7.5-9.0
million points, an average of 50-100 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 3-5 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 was 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. Ground surface rasters were developed from triangulated
irregular networks (TINs) of ground points.
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2012-02-01T00:00:00 |
The NOAA Coastal Services Center (CSC) received the files in las format.
The files contained LiDAR elevation and intensity measurements. The data were in Oregon
Lambert (NAD83), International Feet projection and NAVD88 (Geoid 03) vertical datum.
CSC performed the following processing for data storage and Digital Coast provisioning
purposes: 1. The data were converted from Oregon Lambert (NAD83), International Feet
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.
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2012-02-29T00:00:00 |
The NOAA National Geophysical Data Center (NGDC) received lidar data
files via ftp transfer from the NOAA Coastal Services Center. The data are
currently being served via NOAA CSC Digital Coast at http://www.csc.noaa.gov/digitalcoast/.
The data can be used to re-populate the system. The data are archived in LAS
or LAZ format. The LAS format is an industry standard for LiDAR data developed by
the American Society of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless
compressed version of LAS developed by Martin Isenburg (http://www.laszip.org/). The
data are exclusively in geographic coordinates (either NAD83 or ITRF94). The data
are referenced vertically to the ellipsoid (either GRS80 or ITRF94), allowing for
the ability to apply the most up to date geoid model when transforming to orthometric
heights.
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