50023
2005 Southwest Florida Water Management District (SWFWMD) Lidar: Manatee District
swfwmd_manatee_m66_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2006
The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Southwest Florida. These data
were produced for the Southwest Florida Water Management District (SWFWMD). The Manatee / Little Manatee LiDAR Survey project
area consists of approximately 176 square miles. This data set falls in Manatee County. The LiDAR point cloud was flown at a
density sufficient to support a maximum final post spacing of 6 feet for unobscured areas. 3001 inc. acquired 445 flightlines
between February 11, 2005 and April 14, 2005. The data was divided into 5000' by 5000' foot cells that serve as the tiling
scheme. The Manatee / Little Manatee LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor.
Original contact information:
Contact Org: Southwest Florida Water Management District (SWFWMD)
Phone: 352-796-7211
The Southwest Florida Water Management District uses topographic information to support regulatory, land management
and acquisition, planning, engineering, and habitat restoration projects. The Manatee / Little Manatee LiDAR Survey data
will support the creation of Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated
ground and surface water model for the Peace River Watershed. All data will be public record as defined by applicable
Florida statutes. The Manatee / Little Manatee LiDAR Survey was collected under the guidance of a licensed and professional
Surveyor and Mapper.
10667
3001 inc. also acquired 97 flightlines between April 3, 2005 and April 11, 2005 for the Little Manatee
District data set. The information in this report is the result of the LiDAR surveys performed on the dates indicated and the
general conditions at the time.
The Little Manatee and Manatee Ground Control Survey Report may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/66/supplemental/index.html
Theme
ISO 19115 Topic Category
elevation
Theme
Contour
Theme
ESRI
Theme
Height
Theme
Hydrography
Theme
Photogrammetry
Theme
Planimetric
Theme
Shapefile
Theme
Stereo Photogrammetry
Theme
TIN
Office for Coastal Management
Charleston
SC
Data Set
None Planned
Any conclusions drawn for the analysis of this information are not the responsibility of the Office for Coastal Management or its partners.
Southwest Florida Water Management District
Data Steward
2006
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2006
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2006
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2006
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Publication Date
-82.574841
-82.219672
27.634545
27.510505
Range
2005-02-11
2005-04-14
Yes
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer;
None
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=66
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/66/index.html
Bulk Download
Simple download of data files.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2016-05-23
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
ArcInfo 9.0
Stream shore lines and 2-D coordinate line strings were collected as breaklines using LiDAR that
was acquired and processes to FEMA specifications. These breaklines were created from on-screen digitizing using a
combination of the LiDAR points and the orthophotography. Attributes were verified using routines that verify the vertical
and horizontal positions of the breaklines.
All ground control processing and adjustment is performed using published coordinate
horizontal and vertical datums (e.g. NGS CORS). For deliverables, Corpscon for Windows Version 5.11.08 (geoid 99) was
used for horizontal and vertical datum conversion as well as for coordinate system conversion purposes (e.g. UTM to State
plane). Compiled to meet 1.0 meter horizontal accuracy at the 95% confidence level.
The accuracy assessment was performed using a standard method to compute the root mean
square error (RMSE) based on a comparison of ground control points (GCP) and filtered LiDAR data points. Filtered LiDAR data
has had vegetation and cultural features removed and by analysis represents bare earth elevations. Testing was performed
prior to gridding of the filtered LiDAR data points and construction of the Intergraph .dtm file format. The RMSE figure
was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA). Ground control was established by 3001,
Inc. A spatial proximity analysis was used to select edited LiDAR data points contiguous to the relevant GCPs. A search
radius decision rule is applied with consideration of terrain complexity, cumulative error and adequate sample size.
Cumulative error results from the errors inherent in the various sources of horizontal measurement. These sources include
the airborne GPS, GCPs and the uncertainty of the accuracy of the LiDAR data points. This accuracy is achieved prior to
the subsampling that occurs through integration with the inertial measurement unit (IMU) positions that are recorded. It
is unclear at this time whether the initial accuracy is maintained. The horizontal accuracy of the GCPs is estimated to be
in the range of approximately 1 to 1.6 inches. Finally, sample size was considered. The specification for the National
Standard for Spatial Data Accuracy is a minimum of 20 points to conduct a statistically significant accuracy evaluation
(Minnesota Planning, 1999, Positional Accuracy Handbook, Minnesota Planning Land Management Information Center, St. Paul,
Minnesota., p.3). Most statistical texts indicate that a minimum of 30 sample points provide a reasonable Approximation of
a normal distribution. The intent of the NSSDA is to reflect the geographic area of interest and the distribution of error
in the data set (Federal Geographic Data Committee, 1998, Geospatial National Standard for Spatial Data Accuracy,
Federal Geographic Data Committee Secretariat, Reston, Virginia, p.3-4). Additional steps were taken to ensure the vertical
accuracy of the LiDAR data including:
Step 1: Precision Bore sighting (Check Edge-matching)
Step 2: Compare the LiDAR data to the Field Survey (Field survey is to FEMA specifications and more stringent internal
specifications)
Step 3: Automated Filtering
Step 4: Manual Editing (Quality Control)
Step 5: 3-D digitizing and Photogrammetric Compilation of hydrographic breaklines
RMSE is 4.75 cm (0.156 feet) and the Vertical Accuracy is 9.33 cm (0.306 feet) at the 95% confidence level.
Cloud Cover: 0
The LAS files were flown at a density sufficient to support a maximum final post spacing of 6 feet for
unobscured areas. The bare-earth surface will contain voids in areas that were densely vegetated, covered by bridges,
buildings, water, fresh asphalt, sand etc.
The LAS files were flown at a density sufficient to support a maximum final post spacing of 6 feet
for unobscured areas. 3001 inc. also acquired 97 flightlines between April 3, 2005 and April 11, 2005 for the Little Manatee
District data set. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. The Manatee / Little
Manatee LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor.
Manatee / Little Manatee LiDAR Survey
Discrete
2005
24000
The Manatee / Little Manatee LiDAR Survey was acquired for the Southwest Florida Water Management
District and processed by 3001, Inc.
| Source Geospatial Form: Remote-sensing image | Type of Source Media: Digital tape media
1
The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey.
The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey laser
pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger.
GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base
stations are placed no more than 35 km radius from the flight survey area.
2005-01-01T00:00:00
2
The ABGPS, IMU, and raw scans are integrated using proprietary software developed by the Leica Geosystems
and delivered with the Leica ALS50 System. The resultant file is in a LAS binary file format. The LAS file version 1.0
format can be easily transferred from one file format to another. It is a binary file format that maintains information
specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the State Plane
Florida West coordinate system, with units in feet and referenced to the NAD83 horizontal datum and NAVD88 vertical datum.
2005-01-01T00:00:00
3
The unedited data are classified to facilitate the application of the appropriate feature extraction
filters. A combination of proprietary filters is applied as appropriate for the production of bare earth digital terrain
models (DTMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the
feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature
extraction filters are used to produce elevation height surfaces.
2005-01-01T00:00:00
4
Filtered and edited data are subjected to rigorous QA/QC according to the 3001 Inc. Quality Control Plan
and procedures. Very briefly, a series of quantitative and visual procedures are employed to validate the accuracy and
consistency of the filtered and edited data. Ground control is established by 3001, Inc. and GPS-derived ground control
points (GCPs) points in various areas of dominant and prescribed land cover. These points are coded according to land cover,
surface material and ground control suitability. A suitable number of points are selected for calculation of a statistically
significant accuracy assessment as per the requirements of the National Standard for Spatial Data Accuracy. A spatial
proximity analysis is used to select edited lidar data points within a specified distance of the relevant GCPs. A search
radius decision rule is applied with consideration of terrain complexity, cumulative error and adequate sample size.
Accuracy validation and evaluation is accomplished using proprietary software to apply relevant statistical routines for
calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA) according to
Federal Geographic Data Committee (FGDC) specifications. Processing occurred 2005/2006.
2006-01-01T00:00:00
5
The LiDAR mass points were delivered in American Society for Photogrammetry and Remote Sensing LAS 1.0
format. The header file for each dataset is complete as define by the LAS 1.0 specification. In addition the following
fields are included: Flight Date Julian, Year, and Class. The LAS files do not include overlap. The data was classified
as follows:
Class 1 = Unclassified. This class includes vegetation, buildings, noise etc.
Class 2 = Ground
Class 3 = Water The datasets were delivered in the Districts standard 5000' by 5000' tiling scheme. The tiles are
contiguous and do not overlap. The tiles are suitable for seamless topographic data mosaics that include no "no data"
areas. The names of the tiles are left padded with zeros as required to achieve a five character length and all files
utilize the LAS file extension. Processing occurred 2005/2006.
2006-01-01T00:00:00
6
Dataset copied.
7
The NOAA Office for Coastal Management (OCM) received the files in LAS format. The files contained Lidar
elevation measurements. The data was in Florida State Plane Projection and NAVD88 vertical datum. OCM 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 99.
3. The LAS data were sorted by latitude and the headers were updated.
2008-01-25T00:00:00
gov.noaa.nmfs.inport:50023
Anne Ball
2017-11-15T15:23:49
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16