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Metadata Identifier: gov.noaa.csc.maps:2008_OR_DOGAMI_South_Coast_m519
MD_DataIdentification
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2008 - 2009 Oregon Department of Geology and Mineral Industries (DOGAMI)
South Coast LiDAR Project
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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 between
May 3, 2008 and April 25, 2009 and encompasses portions of the following counties
in southwest Oregon: Coos, Curry, Lane, and Douglas. 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. This LiDAR data set was
collected on different dates and organized into 14 deliveries. To determine which
delivery or deliveries are in your area of interest, view the delivery area coverage
graphic at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/2008_2009_dogami_oregon_lidar_south_coast.jpg
The specific date of collection and total area covered for each delivery are listed
below. Delivery 1: Date of Collection: 20080503-20080626 Total Area = 74.68 sq miles
Delivery 2: Date of Collection: 20080503-20080626 Total Area = 138.73 sq miles Delivery
3: Date of Collection: 20080503-20080626 Total Area = 112.17 sq miles Delivery 4:
Date of Collection: 20080612-20080629 Total Area = 177.55 sq miles Delivery 5: Date
of Collection: 20080612-20080629 Total Area = 177.80 sq miles Delivery 6: Date of
Collection: 20080615-20080803 Total Area = 437.95 sq miles Delivery 7: Date of Collection:
20080615-20080803 Total Area = 209.81 sq miles Delivery 8a: Date of Collection: 20080615-20080803
Total Area = 146.30 sq miles Delivery 8b: Date of Collection: 20080608-20080928 Total
Area = 74.06 sq miles Delivery 9: Date of Collection: 20080608-20080928 Total Area
= 217.22 sq miles Delivery 10: Date of Collection: 20080608-20080928 Total Area =
224.82 sq miles Delivery 11: Date of Collection: 20080727-20090425 Total Area = 237.06
sq miles Delivery 12: Date of Collection: 20080727-20090425 Total Area = 216.10 sq
miles Delivery 13: Date of Collection: 20080727-20090425 Total Area = 181.17 sq miles
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SV_Identification
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2008 - 2009 Oregon Department of Geology and Mineral Industries (DOGAMI) South Coast
LiDAR Project
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Lidar Project Reports |
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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/2008-2009_south_coast/delivery_1/ |
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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/2008-2009_south_coast/delivery_1/ |
Lidar Project Reports |
Delivery 1 QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_11_12_13/ |
Lidar Project Reports |
Delivery 11-13 QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_2/ |
Lidar Project Reports |
Delivery 2 QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_3/ |
Lidar Project Reports |
Delivery 3 QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_4/ |
Lidar Project Reports |
Delivery 4 QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_5/ |
Lidar Project Reports |
Delivery 5 QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_6_7_8a/ |
Lidar Project Reports |
Delivery 6-8a QA/QC report, as well as Data Collection Report |
information |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/2008-2009_south_coast/delivery_8b_9_10/ |
Lidar Project Reports |
Delivery 8b-10 QA/QC report, as well as Data Collection Report |
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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-124.568779 |
-123.545579 |
44.000003 |
41.996103 |
2008-05-03 |
2009-04-25 |
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-124.568779 |
-123.545579 |
44.000003 |
41.996103 |
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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 Project Reports |
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crossReference |
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2009-01-01T00:00:00 |
The LiDAR data was collected between May 3, 2008 and April 25, 2009.
The survey used a Leica ALS50 Phase II laser system mounted in a Cessna Caravan 208B.
The system was set to acquire > or = 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 +/- 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 > or = 50% (> or = 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
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 < or = 1.5 cm (0.6 in)).
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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 (< 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 (<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.
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2010-06-01T00:00:00 |
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 coordinates and NAVD88 (Geoid 03) vertical datum.
CSC 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.
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2011-10-31T00:00:00 |
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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