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Metadata Identifier: gov.noaa.csc.maps:2006_FL_SWFWMD_Upper_Myakka_m69
MD_DataIdentification
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2006 Southwest Florida Water Management District (SWFWMD) Lidar: Upper
Myakka District
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EarthData International collected ALS-50-derived LiDAR over Upper Myakka Florida
with a one-meter post spacing. The period of collection was between 3 October and
12 October 2006. This data set falls in Manatee County. The collection was performed
by EarthData Aviation, using a Leica ALS-50 LiDAR system, including an inertial measuring
unit (IMU) and a dual frequency GPS receiver. This project required six lifts of flight
lines to be collected. The product generated consisted of LiDAR bare earth elevation
models in LAS format. This data set is one component of a digital terrain model (DTM)
for the Southwest Florida Water Management District's FY2005 Digital LiDAR Project
(H048), encompassing approximately 291 square miles across Manatee County. The 2005
LiDAR dataset is comprised of 3-D mass points delivered in the LAS file format based
on the District's 5,000' by 5,000' grid (325 cells). The other DTM component is 2-D
and 3-D breakline features in the ESRI ArcGIS Personal Geodatabase format. In accordance
with the 2005 SWFWMD Topographic Database Design, the following breakline closed water
bodies (lakes, reservoirs, etc) as 3-D polygons; linear hydrographic features (streams,
canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 3-D linear
features; edge of pavement road features as 3-D breaklines; soft features (ridges,
valleys, etc.) as 3-D breaklines; obscured vegetation polygons as 2-D polygons; overpasses
and bridges as 3-D breaklines; 1-foot contours for visualization purposes; and island
features as 3-D polygons. Breakline features were captured to develop a hydrologically
correct DTM. Contours (1-foot) were generated from the DTM that meet the National
Map Accuracy Standards for 2-foot contours (FEMA specifications). Bare earth LiDAR
mass point data display a vertical accuracy of at least 0.3-feet root mean square
error (RMSE) in open unobscured areas.
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SV_Identification
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2006 Southwest Florida Water Management District (SWFWMD) Lidar: Upper Myakka District |
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LiDAR Land Cover Control, Report of GPS Survey |
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Lidar Final Report |
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None |
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North American Datum 1983 |
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Report of GPS Survey Upper Myakka Area, FL |
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Upper Myakka Aerial Acquisition |
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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/fl/swfwmd/Upper_Myakka_Report_Topographic_Survey.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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EarthData Aviation |
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originator |
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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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Harold Rempel |
EarthData International |
Director of Program Management |
hrempel@earthdata.com |
processor |
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Kevin J. Chappell |
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originator |
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Mapping and GIS Section |
Southwest Florida Water Management District |
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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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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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Southwest Florida Water Management District (SWFWMD) |
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originator |
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WilsonMiller, Inc. |
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originator |
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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/swfwmd/Upper_Myakka_Report_Topographic_Survey.pdf |
Lidar Final 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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-082.451361 |
-081.879906 |
27.555841 |
27.176931 |
2006-10-03 |
2006-10-12 |
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2006-10-03 |
2006-10-12 |
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2006-03-07 |
2006-04-13 |
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2007-01-15 |
2007-02-12 |
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-082.451361 |
-081.879906 |
27.555841 |
27.176931 |
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2006-10-03 |
2006-10-12 |
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2006-03-07 |
2006-04-13 |
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2007-01-15 |
2007-02-12 |
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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 Final Report |
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crossReference |
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LiDAR Land Cover Control, Report of GPS Survey |
2007-03-30 |
Source Contribution: LiDAR Land Cover QC Survey. EarthData International
was contracted to provide mapping services in the Upper Myakka area of Florida. LiDAR
data was collected for the project area. EarthData subcontracted the quality control
survey tasks to WilsonMiller, Inc. The Global Positioning System (GPS) was used to
establish the control network. There were a total of 93 stations occupied for this
project. 64 new LiDAR land cover control stations, 4 NGS base control stations, 8
FDEP 2005 base control stations, and 9 NGS control check stations. Source Type: Paper
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Report of GPS Survey Upper Myakka Area, FL |
2006-05-30 |
Source Contribution: Ground Control. EarthData International was contracted
to provide mapping services in the Upper Myakka area of Florida. Aerial imagery and
LiDAR data was collected for the project area. EarthData subcontracted the ground
survey tasks to Kevin J. Chappell, Florida PSM License No. LS5818. The Global Positioning
System (GPS) was used to establish the control network. There were a total of 41 stations
occupied for this project. There were 19 new photo control stations, 11 new LIDAR
control stations, 4 temporary GPS base stations, 5 existing NSRS control stations,
1 CORS station, and 1 airborne GPS base station used by the flight crew. The final
network was adjusted using least squares. A free adjustment and constrained adjustment
were performed. The results of the free adjustment indicate an external network accuracy
of better than 3 cm in relation to NAD 1983 1999 and NAVD 1988. The results of the
constrained adjustment indicate an internal network accuracy of better than 3 cm in
relation to NAD 1983 1999 and NAVD 1988. Source Type: Paper
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Upper Myakka Aerial Acquisition |
2006-10-12 |
Source Contribution: Aerial Acquisition. EarthData International
collected ALS-50-derived LiDAR over Upper Myakka Florida with a one-meter post spacing
using aircraft number N62912. The period of collection was between 3 October and 12
October 2006. The collection was performed by EarthData Aviation, using a Leica ALS-50
LiDAR system, serial number ALS039, including an inertial measuring unit (IMU) and
a dual frequency GPS receiver. This project required six lifts of flight lines to
be collected. The lines were flown at an average of 3000 feet above mean terrain using
a pulse rate of 75,000 pulses per second. Source Type: External hard drive
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2006-11-15T00:00:00 |
The airborne GPS data were processed and integrated with the IMU.
The results were imported into the processing system for use in the LiDAR boresight.
The raw LiDAR data was downloaded onto a production server. The ground control and
airport GPS base station were used in conjunction with the processed ABGPS results
for the LiDAR boresight. The properly formatted processing results were used for subsequent
processing.
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2007-01-15T00:00:00 |
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 Aviation, the technician performs calibrations on the data set. 2. 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 layer 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 point cloud data were delivered in LAS format. 10 - points
in wetlands and ditches, 9 - points in water, 2 - ground points, and 1 - all other.
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2008-01-25T00:00:00 |
The NOAA Coastal Services Center (CSC) received the files in LAS format.
The files contained Lidar elevation measurements. The data was in Florida State Plane
Projection and NAVD88 vertical datum. CSC performed the following processing to the
data to make it available within the LDART Retrieval Tool (LDART): 1. The data were
converted from Florida State Plane West 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.
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2009-07-14T00:00:00 |
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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