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Metadata Identifier: gov.noaa.csc.maps:2007_FL_SWFWMD_Hillsborough_m79
MD_DataIdentification
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2007 Southwest Florida Water Management District (SWFWMD) LiDAR: Hillsborough/Little
Manatee Districts
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EarthData International collected ADS-50 derived LiDAR over a portion of Hillsborough
and Manatee Counties with a one meter post spacing. The period of collection was between
12 January and 20 January 2007. 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 eleven lifts of flight lines
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 FY 2007 Hillsborough County - Watershed
Management Plan Topographic Information Mapping (L762) and FY 2007 Little Manatee
River Watershed Management Plan (L604), encompassing approximately 453 square miles
in Hillsborough County and 82 square miles in Manatee County. The 2007 LiDAR data
set is comprised of 3-D mass points delivered in the LAS file format based upon the
District's 5,000' x 5,000' grid with 505 cells in the Hillsborough area with an additional
91 cells in the Little Manatee area. An additional 12 cells were added to the Hillsborough
area. The other DTM component is 2-D and 3-D breakline features in the ESRI ArcGIS
Personal Geodatabase format. The breaklines were collected using Aerial photography
captured for the Southwest Florida Water Management District FY 2007 Digital Orthophoto
(B089) Central District One-foot Orthophoto project. The stream breaklines were the
corrected to the hillshade LiDAR data. Contours (2-foot) were generated from the DTM
that meet the National Standard for Spatial Data Accuracy (NSSDA) 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 (RMSE) in open and unobscured areas with standard
reflective quality.
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SV_Identification
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2007 Southwest Florida Water Management District (SWFWMD) LiDAR: Hillsborough/Little
Manatee Districts
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Hillsborough Little Manatee Aerial Acquisition |
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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 Hillsborough and Little Manatee River Basin, FL |
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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/Hillsborough_County_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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Frank Sokoloski |
Fugro EarthData, Inc |
Project Manager |
fsokoloski@earthdata.com |
processor |
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Frank Sokoloski |
Fugro EarthData, Inc. |
Project Manager |
fsokoloski@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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ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/swfwmd/Hillsborough_County_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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-82.407173 |
-82.065375 |
28.185085 |
27.634385 |
2007-01-12 |
2007-01-20 |
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2007-01-12 |
2007-01-20 |
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2006-01-14 |
2007-03-13 |
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-82.407173 |
-82.065375 |
28.185085 |
27.634385 |
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2007-01-12 |
2007-01-20 |
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2006-01-14 |
2007-03-13 |
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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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Hillsborough Little Manatee Aerial Acquisition |
2007-01-20 |
Source Contribution: Aerial Acquisition. EarthData International collected
ALS-50-derived LiDAR over Upper Myakka Florida with a one-meter post spacing using
aircraft number N2636P. The period of collection was between 12 January and 2o January
2007. The collection was performed by EarthData Aviation, using a Leica ALS-50 LiDAR
system, serial number ALS036, including an inertial measuring unit (IMU) and a dual
frequency GPS receiver. This project required eleven lifts of flight lines to be collected.
The lines were flown at an average of 3400 feet above mean terrain using a pulse rate
of 75,000 pulses per second. Source Type: External hard drive
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Report of GPS Survey Hillsborough and Little Manatee River Basin, FL |
2007-02-18 |
Source Contribution: Ground Control. For a previous SWFWMD project
(Upper Myakka) EarthData subcontracted the ground survey tasks to Kevin J. Chappell,
Florida PSM License No. LS5818. Points that fell within the Hillsborough Little Manatee
project area were incorporated as ground control points along with newly acquired
points. 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. Additionally,
there were a total of 17 stations occupied for this project. There were 9 new LIDAR
control stations for Little Manatee and 32 points for Hillsborough, and 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. Eighty LiDAR QC points, broken down into four sets of
urban, bare und, brush and forest were collected. A full survey control report has
been provided to SWFWMD. Source Type: Paper
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2007-03-27T00:00:00 |
The airborne GPS data were processed and integrated with the IMU.
The results were imported into the processing system for use in the LiDAR bore sight.
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 bore sight. The properly formatted processing results were used for
subsequent processing.
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2007-05-14T00:00:00 |
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. Lidar editing workflow process for 2007
SWFWMD 1.Initial Lidar classification - initial classification is performed by separating
the last return points and other return points into different files. Only last return
points will be used in Bare Earth editing. This step is accomplished during pre-processing
phase. The First of Many and intermediate returns will be merged back with last returns
after Bare Earth Editing and QC is completed for point cloud deliverables. 2. Lidar
editing - the Lidar Last Return is edited to bare earth using a combination of automated
and manual filtering techniques. Existing orthophotography over the project area will
be used as a reference to ensure that the editor is correctly classifying points in
areas that are either heavily vegetated or ambiguous in nature. Each tile will be
individually edited to make sure noise and vegetation points have been reclassified
properly. 3. QC of Lidar classification - immediately following Lidar Editing, QC
is performed to verify that points are correctly classified. Each tile will be individually
viewed and will be checked for consistent point density for each classification and
land cover type. For example, consistent density in marsh areas and open fields will
be verified. Each tile will be checked to make sure noise and vegetation points have
been removed. Areas of heavy vegetation will be reviewed in profile to ensure redundant
check. An overall QC of the entire project area will be done in blocks of tiles to
ensure consistency between tiles. 4. Breaklines - photogrametrically-collected breaklines
will be compiled to delineate specified features in accordance with the project scope.
This is an interactive process using photogrametrically-derived stereo pairs in a
3D environment. Features typically collected would define tops and bottoms of slopes,
roads, ditches, ponds, rivers and lakes. Breaklines in wetland areas will be collected
with sufficient detail to ensure that hydrographic features are correctly represented
to support generation of 1' contours to the 2' vertical accuracy requirement. The
wetland breaklines will be collected as closed polygons and will be used in Step 8
for reclassifying wetland points. 5. QC of breaklines - breaklines will be verified
in a stereo environment by senior technicians who were not involved in the compilation.
Wetland boundaries will be verified using existing orthophotography and lidar hill
shades color-coded by elevation. This process will be used to ensure that water conditions
at time of lidar acquisition were consistent with the imagery used to compile breaklines.
If there are any significant discrepancies, breaklines will be modified as necessary.
6. Streams are verified against Lidar hill shades to more accurately locate and define
the path. 7. Breakline draping - following this QC step, breaklines will be draped
to the lidar ground points. This will include roads but will exclude ditches. All
vector data is reviewed after this process to assure that vectors have been properly
assigned elevations in comparison to the lidar surface. 8. Reclassification - lidar
points in wetlands and along ditches will be reclassified to Class 10. Islands in
water Class 10 is a new classification not defined in the SWFWMD scope of work. 9.
Final lidar QC - a TIN surface will be generated from lidar ground points and breaklines
for a final QC. This step will ensure that the terrain is consistent and there are
no anomalies present. 10. Formatting - the final lidar tiles will be formatted for
delivery. The edited Lidar Last return points and the First of Many and Intermediate
return points are merged together to complete the Point Cloud deliverable. This step
will also include the restoration of header information that is removed during processing
using Terrascan software. In order to restore this data and provide SWFWMD-required
information, EarthData has written a program to ensure the proper data is added to
the file header. 11. Deliverables - Breakline Geodatabase deliverable files are created.
Contours are generated, a visual QC of contours is performed, and the geodatabase
deliverable is created.
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2008-01-01T00:00:00 |
Contour Creation after the Lidar is refined to the Bare Earth surface
this surface was combined with 2D photogrametrically collected and draped to the Lidar
surface to establish an elevation on the breakline. The breakline location was also
observed in relation to where the lidar indicated terrain breaks. In areas that were
obscured, such as dense vegetation, the lidar data took precedence. As a general rule
the lidar data took precedence. After the breaklines and lidar data were reconciled
to each other the data was hydrologically enforced to make sure that the flow on the
streams was down hill. MicroStation is then used to generate the contours. The contours
are created at 1 foot with a 2 foot specification. After the contours are created
they are then reviewed for accuracy and consistency. After the review is completed
the contours are translated into an ESRI geodatabase for delivery.
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2008-04-28T00:00:00 |
The NOAA Coastal Services Center (CSC) received the files in LAS format.
The files contained Lidar intensity and 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 Zone 0902 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. 4. Vertical unit of measure converted from feet to meters.
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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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