ISO Table View
Alternate Views:
Get Data,
FAQ,
ISO Rubric,
CSW,
HTML,
Components, XML
Metadata Identifier: gov.noaa.csc.maps:2006_MD_m103
MD_DataIdentification
| 1 |
|
2006 Maryland Department of Natural Resources Lidar: Caroline, Kent and
Queen Anne Counties
|
Maryland Department of Natural Resources requested the collection of LIDAR
data over Kent, Queen Anne and Caroline Counties, MD. In response, EarthData acquired
the data from March 18 through April 6, 2006. Airborne lidar data was acquired at
an altitude of 5,500'(1676.4 m) above mean terrain with a swath width of 40', which
yields an average post spacing of lidar points of no greater than 6.56 ft (2 m). The
project was designed to achieve a vertical accuracy of the lidar points at 7.09 in
(18 cm) root mean square error (RMSE). The flight design included a total of seventy-seven
flight lines with approximately 2,246 total line miles (3614.59 km). The lidar data
was acquired prior to the emergence of deciduous foliage. This is a bare earth data
set. Light Detection and Ranging (LIDAR) is a method of locating objects on the ground
using aerial-borne equipment. It is similar to RADAR or SONAR in that the two-way
travel time of an energy beam reflected off an object is precisely measured, but this
technology uses laser light instead of radio or sound waves. This technology has proven
very useful in remote sensing of the earth. It can be used for determining elevations
of both the earth's surface and items (natural and man-made) on the surface. Analysis
of LiDAR data is used in detailed modeling of the earth's surface for drainage and
floodplain studies, determining how a new structure will affect views from various
locations, shoreline erosion studies, and other reasons. "First returns" are the first
elevation value that the LiDAR sensor recorded for a given x,y coordinate. Likewise,
"last returns" are the last elevation value that the LiDAR sensor recorded for a given
x,y coordinate. The Bare Earth Mass Points are point elevations that represent the
"bare earth." Features that are above the ground - such as buildings, bridges, tree
tops, etc. - are not included in these data. The Gridded DEM is a model of the surface
of the earth (no above-surface features such as buildings, tree tops, etc) with a
point at every 2 meters representing the average surface elevation of that area. The
LIDAR Intensity Imagery are similar to aerial photography. While not as sharp as traditional
aerial photos, they offer a good visual representation of the surface and various
features.
|
SV_Identification
| 1 |
|
2006 Maryland Department of Natural Resources Lidar: Caroline, Kent and Queen Anne
Counties
|
|
|
| 1 |
|
Aerial Acquisition of Lidar Data for Kent, Queen Anne & Caroline Counties, MD |
|
|
| 1 |
|
Lidar QA/QC Report |
|
|
| 2 |
|
None |
|
|
| 1 |
|
North American Datum 1983 |
|
|
| 1 |
|
Report of Survey for Caroline, Kent & Queen Anne's Counties |
|
|
| 1 |
|
|
|
|
|
resourceProvider |
http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269 |
| 1 |
|
|
|
Citation URL |
|
|
ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/md/MD_DNR_LIDAR_QA_Report_2006_caro_kent_queen.pdf |
| 2 |
|
Angela Worley |
EarthData International |
Project Manager |
metadata@earthdata.com |
processor |
|
| 1 |
NOAA CSC (originator) |
|
DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
|
|
csc.info@noaa.gov |
originator |
|
| 1 |
NOAA CSC (publisher) |
|
DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
|
|
csc.info@noaa.gov |
publisher |
|
| 1 |
NOAA CSC(distributor) |
|
DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
|
|
csc.info@noaa.gov |
distributor |
|
| 1 |
NOAA CSC (processor) |
|
DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic
and Atmospheric Administration, U.S. Department of Commerce
|
|
csc.info@noaa.gov |
processor |
|
| 1 |
|
|
EarthData International, Inc |
|
|
originator |
|
| 1 |
EPSG Registry |
|
European Petroleum Survey Group |
|
|
publisher |
http://www.epsg-registry.org/ |
| 1 |
|
Kevin Boone |
Maryland Department of Natural Resources |
Chief GIS Officer |
kboone@dnr.state.md.us |
pointOfContact |
|
| 1 |
|
|
Maryland Department of Natural Resources |
|
|
originator |
|
| 1 |
Mike Sutherland(author) |
Mike Sutherland |
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department
of Commerce
|
|
mike.sutherland@noaa.gov |
author |
|
| 1 |
Mike Sutherland |
Mike Sutherland |
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department
of Commerce
|
|
mike.sutherland@noaa.gov |
distributor |
|
| 1 |
|
Pamela Grothe |
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department
of Commerce
|
|
|
processor |
|
| 1 |
|
|
TerraSurv, Inc. |
|
|
originator |
|
| 1 |
|
ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/md/MD_DNR_LIDAR_QA_Report_2006_caro_kent_queen.pdf |
Lidar QA/QC Report |
|
information |
| 1 |
|
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.
|
search |
| 1 |
|
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 |
| 1 |
|
Ellipsoid in Meters |
| 1 |
|
urn:ogc:def:crs:EPSG::4269 |
|
Bounding Box |
Temporal Extent |
| 1 |
|
|
-75.300698 |
-75.688478 |
39.383359 |
38.729653 |
2006-03-18 |
2006-04-06 |
| 1 |
|
|
|
|
|
|
|
|
| 1 |
|
|
|
|
|
|
2006-03-18 |
2006-04-06 |
| 1 |
|
-75.300698 |
-75.688478 |
39.383359 |
38.729653 |
| 2 |
|
2006-03-18 |
2006-04-06 |
| 1 |
|
|
|
| 1 |
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.
|
| 1 |
Ellipsoid |
Ellipsoid in Meters |
|
| 1 |
NAD83 |
urn:ogc:def:crs:EPSG::4269 |
North American Datum 1983 |
| 1 |
|
Lidar QA/QC Report |
|
crossReference |
| 1 |
|
Aerial Acquisition of Lidar Data for Kent, Queen Anne & Caroline Counties, MD |
2006-11-08 |
Source Contribution: Aerial Lidar Acquisition. Maryland Department
of Natural Resources requested the collection of LIDAR data over Kent, Queen Anne
and Caroline Counties, MD. In response EarthData acquired the data from March 18 through
April 6, 2006 using its aircraft with tail number N62912. LIDAR data was captured
using an ALS50 LIDAR system, including an inertial measuring unit (IMU) and a dual
frequency GPS receiver. An additional GPS receiver was in constant operation over
a published control point set by EarthData at the base of operations airport which
is a secondary Airport Control Station. During the data acquisition, the receivers
collected phase data at an epoch rate of 1 Hz. The use of the Airport base station
ensured that all data capture was performed within 50 miles of a base station. The
solutions from Kent, Queen Anne and Caroline counties were found to be of high integrity
and met the accuracy requirements for the project. These accuracy checks also verified
that the data meets the guidelines outlined in FEMA's Guidelines and Specifications
for Flood Hazard Mapping Partners and Appendix 4B, Airborne Light Detection and Ranging
Systems. Airspeed - 140 knots Laser Pulse Rate - 52700 kHz Field of View - 40 degrees
ScanRate - 30 Hz Source Type: Firewire Drive
|
| 1 |
|
Report of Survey for Caroline, Kent & Queen Anne's Counties |
2006-07-12 |
Source Contribution: Ground Control. Earthdata International was contracted
to provide LIDAR mapping services in the area of Caroline, Kent, and Queen Anne's
Counties, Maryland. Earthdata subcontracted the ground survey tasks to TerraSurv,
Inc. The Global Positioning System (GPS) was used to establish the control network.
The horizontal datum was the North American Datum of 1983, CORS adjustment (NAD 1983
CORS). The vertical datum was the North American Vertical Datum of 1988(NAVD 1988).
There were a total of 27 stations occupied for this project. There were 19 new LIDAR
control stations, 2 temporary GPS base stations, 3 existing NSRS control stations,
2 CORS stations, and 1 airborne GPS base station used by the flight crew. The network
was observed in a radial configuration. A base receiver was established on a random
point and run throughout the observations in each area. Due to the large area covered,
multiple base locations were used. The temporary base stations were tied to the CORS
and NSRS control stations. Source Type: Electronic mail system
|
| 1 |
|
2006-10-05T00:00:00 |
EarthData has developed a unique method for processing lidar data
to identify and remove elevation points falling on vegetation, buildings, and other
aboveground structures. The algorithms for filtering data were utilized within EarthData's
proprietary software and commercial software written by TerraSolid. This software
suite of tools provides efficient processing for small to large-scale, projects and
has been incorporated into ISO 9001 compliant production work flows. The following
is a step-by-step breakdown of the process: 1. Using the lidar data set provided by
EarthData, the technician performs calibrations on the data set. 2. Using the lidar
data set provided by EarthData, the technician performed a visual inspection of the
data to verify that the flight lines overlap correctly. The technician also verified
that there were no voids, and that the data covered the project limits. The technician
then selected a series of areas from the data set and inspected them where adjacent
flight lines overlapped. These overlapping areas were merged and a process which utilizes
3-D Analyst and EarthData's proprietary software was run to detect and color code
the differences in elevation values and profiles. The technician reviewed these plots
and located the areas that contained systematic errors or distortions that were introduced
by the lidar sensor. 3. Systematic distortions highlighted in step 2 were removed
and the data was re-inspected. Corrections and adjustments can involve the application
of angular deflection or compensation for curvature of the ground surface that can
be introduced by crossing from one type of land cover to another. 4. The lidar data
for each flight line was trimmed in batch for the removal of the overlap areas between
flight lines. The data was checked against a control network to ensure that vertical
requirements were maintained. Conversion to the client-specified datum and projections
were then completed. The lidar flight line data sets were then segmented into adjoining
tiles for batch processing and data management. 5. The initial batch-processing run
removed 95% of points falling on vegetation. The algorithm also removed the points
that fell on the edge of hard features such as structures, elevated roadways and bridges.
6. The operator interactively processed the data using lidar editing tools. During
this final phase the operator generated a TIN based on a desired thematic layers to
evaluate the automated classification performed in step 5. This allowed the operator
to quickly re-classify points from one layer to another and recreate the TIN surface
to see the effects of edits. Geo-referenced images were toggled on or off to aid the
operator in identifying problem areas. The data was also examined with an automated
profiling tool to aid the operator in the reclassification. 7. The final DEM was written
to an LAS 1.0 format and also converted to ASCII 8. The point cloud data were also
delivered in LAS 1.0 format and also converted to ASCII.
|
| 1 |
|
2006-11-20T00:00:00 |
EarthData utilizes a combination of proprietary and COTS processes
to generate intensity images from the lidar data. Intensity images are generated from
the full points cloud (minus noise points) and the pixel width is typically matched
to the post spacing of the lidar data to achieve the best resolution. The following
steps are used to produce the intensity: 1) Lidar point cloud is tiled to the deliverable
tile layout. 2) All noise points, spikes, and wells are deleted out of the tiles.
3) An EarthData proprietary piece of software, EEBN2TIF is then used to process out
the intensity values of the lidar. At this point, the pixel size is selected based
on best fit or to match the client specification if noted in the SOW. 4) The software
then generates TIF and .TFW files for each tile. 5) ArcView is used to review and
QC the tiles before delivery.
|
| 1 |
|
2008-11-03T00:00:00 |
The NOAA Coastal Services Center (CSC) received the files in las and
ASCII format. The data were in Maryland State Plane Projection, NAVD88 vertical datum
and the vertical units of measure were meters. CSC performed the following processing
to the las data to make it available within Digital Coast: 1. The data were converted
from Maryland State Plane coordinates to geographic coordinates. 2. The data were
converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid
03. 3. The LAS data were sorted by latitude and the headers were updated.
|
| 1 |
|
2009-07-23T00:00:00 |
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.
|
|
