50030
2006 Southwest Florida Water Management District (SWFWMD) Lidar: Upper Myakka District
swfwmd_upper_myakka_m69_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2006-12-04
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.
Original contact information:
Contact Name: Mapping and GIS section
Contact Org: Southwest Florida Water Management District
Phone: 352.796.7211
This project was designed to provide topographic information to the Southwest Florida Water Management District to
support regulatory, land management and acquisition, planning, engineering and habitat restoration projects.
10674
LiDAR bare-earth elevation models in LAS format.
The Upper Myakka Report of Topographic Survey may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/69/supplemental/index.html
Theme
ISO 19115 Topic Category
elevation
Theme
Bare Earth
Theme
Surface
Theme
Terrain
Spatial
Geographic Names Information System
Florida
Spatial
Geographic Names Information System
Manatee County
Spatial
Geographic Names Information System
Southwest Florida
Spatial
Geographic Names Information System
US
Spatial
Geographic Names Information System
Upper Myakka
Office for Coastal Management
Charleston
SC
Data Set
As Needed
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
2006-12-04
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
2006-12-04
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
2006-12-04
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
2006-12-04
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
Ground Condition
-82.451361
-81.879906
27.555841
27.176931
Range
2006-10-03
2006-10-12
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=69
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/geoid18/69/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.
Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.0.0.535
The boresight of the LiDAR was processed against the ground control for this project which consisted
of 11 LiDAR ground survey points and 1 ABGPS base station at the operation airport. The control points were processed to FL
State Plane West NAD83/1999, and vertically to Mean Sea Level (MSL), NAVD 88 in U.S. Survey Feet. Airborne GPS data was
collected during the acquisition mission for each flight line. During the data acquisition the Positional Dilution of
Precision (PDOP) for the airborne GPS (ABGPS) was monitored and held at or below 3.5 when possible. The control points were
measured by technicians using Terrascan and proprietary software and applied to the boresight solution for the project lines.
An independent check of the accuracy of the bare earth LiDAR product was conducted using land cover quality control points.
The minimum expected horizontal accuracy was tested to meet or exceed a 4.5-foot horizontal
accuracy at 95 percent confidence level using RMSE(r) x 1.7308 as defined by the National Standards for Spatial Data Accuracy
(NSSDA). Compiled to meet 1.0 meter horizontal accuracy at the 95% confidence level.
The vertical accuracy for LiDAR data over well-defined surfaces meets the Federal Geographic
Data Committee's (FGDC) published National Standard for Spatial Data Accuracy (NSSDA). Vertical accuracies at the 95 percent
confidence level for flat terrain were required, and all systematic errors were eliminated to the greatest extent possible and
the errors were normally distributed.
Accuracy was tested to meet an 18.28 cm (0.6 foot) fundamental vertical accuracy at 95 percent confidence level using RMSE
(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA).
Cloud Cover: 0
The following methods are used to assure LiDAR accuracy:
1. Use of IMU and ground control network utilizing GPS techniques.
2. Use of airborne GPS in conjunction with the acquisition of LiDAR.
3. Measurement of quality control ground survey points within the finished product. The following software is used for the
validation: 1. Terrascan 2. EarthData Proprietary Software
Compliance with the accuracy standard was ensured by the collection of GPS ground control after the
acquisition of aerial LiDAR and the establishment of a GPS base station at the Sarasota-Bradenton International Airport. The
following checks were performed.
1. The ground control and airborne GPS data stream were validated through a fully analytical boresight adjustment.
2. The DTM (Digital Terrain Model) data were checked against the project control.
3. LiDAR elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal).
LiDAR Land Cover Control, Report of GPS Survey
2007-03-30
Range
2007-01-15
2007-02-12
1200
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 Geospatial Form: Map | Type of Source Media: Paper
Report of GPS Survey Upper Myakka Area, FL
2006-05-30
Range
2006-03-07
2006-04-13
1200
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 Geospatial Form: Model | Type of Source Media: Paper
Upper Myakka Aerial Acquisition
2006-10-12
Range
2006-10-03
2006-10-12
1200
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.
| Type of Source Media: External hard drive
1
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.
2006-11-15T00:00:00
2
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.
2007-01-15T00:00:00
3
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 Digital Coast Data Access Viewer (DAV):
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.
2008-01-25T00:00:00
gov.noaa.nmfs.inport:50030
Anne Ball
2017-11-15T15:23:52
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16