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OCM Partners, 2022: 2006 Southwest Florida Water Management District (SWFWMD) Lidar: Upper Myakka District, https://www.fisheries.noaa.gov/inport/item/50030.

Item Identification

Title: 2006 Southwest Florida Water Management District (SWFWMD) Lidar: Upper Myakka District
Short Name: swfwmd_upper_myakka_m69_metadata
Status: Completed
Publication Date: 2006-12-04
Abstract:

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

Purpose:

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.

Notes:

10674

Supplemental Information:

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

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare Earth
None Surface
None Terrain

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
Geographic Names Information System Florida
Geographic Names Information System Manatee County
Geographic Names Information System Southwest Florida
Geographic Names Information System Upper Myakka
Geographic Names Information System US

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Distribution Liability:

Any conclusions drawn for the analysis of this information are not the responsibility of the Office for Coastal Management or its partners.

Data Set Credit: Southwest Florida Water Management District

Support Roles

Data Steward

CC ID: 687702
Date Effective From: 2006-12-04
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 687704
Date Effective From: 2006-12-04
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 687705
Date Effective From: 2006-12-04
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 687703
Date Effective From: 2006-12-04
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1140307
W° Bound: -82.451361
E° Bound: -81.879906
N° Bound: 27.555841
S° Bound: 27.176931

Extent Group 1 / Time Frame 1

CC ID: 1140306
Time Frame Type: Range
Start: 2006-10-03
End: 2006-10-12

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer;

Data Access Constraints:

None

Data Use Constraints:

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.

Distribution Information

Distribution 1

CC ID: 742687
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=69
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 742688
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/69/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 742690
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 742691
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 687723
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 687722
Activity Date/Time: 2017-11-14
Description:

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.

Activity Log 3

CC ID: 718632
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742689
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.0.0.535

Data Quality

Accuracy:

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.

Horizontal Positional Accuracy:

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.

Vertical Positional Accuracy:

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).

Completeness Measure:

Cloud Cover: 0

Completeness Report:

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

Conceptual Consistency:

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).

Lineage

Sources

LiDAR Land Cover Control, Report of GPS Survey

CC ID: 1140299
Publish Date: 2007-03-30
Extent Type: Range
Extent Start Date/Time: 2007-01-15
Extent End Date/Time: 2007-02-12
Scale Denominator: 1200
Source Contribution:

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

CC ID: 1140300
Publish Date: 2006-05-30
Extent Type: Range
Extent Start Date/Time: 2006-03-07
Extent End Date/Time: 2006-04-13
Scale Denominator: 1200
Source Contribution:

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

CC ID: 1140301
Publish Date: 2006-10-12
Extent Type: Range
Extent Start Date/Time: 2006-10-03
Extent End Date/Time: 2006-10-12
Scale Denominator: 1200
Source Contribution:

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

Process Steps

Process Step 1

CC ID: 1140302
Description:

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.

Process Date/Time: 2006-11-15 00:00:00

Process Step 2

CC ID: 1140303
Description:

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.

Process Date/Time: 2007-01-15 00:00:00

Process Step 3

CC ID: 1140304
Description:

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.

Process Date/Time: 2008-01-25 00:00:00

Catalog Details

Catalog Item ID: 50030
GUID: gov.noaa.nmfs.inport:50030
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:23+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16