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Short Citation:
OCM Partners, 2022: 2006 Southwest Florida Water Management District (SWFWMD) Lidar: Rutland Ranch District, https://www.fisheries.noaa.gov/inport/item/50028.

Item Identification

Title: 2006 Southwest Florida Water Management District (SWFWMD) Lidar: Rutland Ranch District
Short Name: swfwmd_rutland_ranch_m68_metadata
Status: Completed
Publication Date: 2006
Abstract:

The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Rutland Ranch. This data falls in Manatee

County. These data were produced for the Southwest Florida Water Management District (SWFWMD). The Rutland Ranch LiDAR Survey project

area consists of approximately 17 square miles. The LiDAR point cloud was flown at a density sufficient to support a maximum final post

spacing of 4 feet for unobscured areas. 3001 Inc. acquired 40 flightlines on February 1, 2006. The data was divided into 5000' by 5000'

foot cells that serve as the tiling scheme. The Rutland Ranch LiDAR Survey was collected under the guidance of a Professional Mapper/

Surveyor.

Original contact information:

Contact Org: Southwest Florida Water Management District

Phone: 352-796-7211

Purpose:

The Southwest Florida Water Management District uses topographic information to support regulatory, land management and

acquisition, planning, engineering, and habitat restoration projects. The Rutland Ranch 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

Rutland Ranch. All data will be public record as defined by applicable Florida statutes. The Rutland Ranch LiDAR Survey was collected

under the guidance of a licensed and professional Surveyor/Mapper.

Notes:

10672

Supplemental Information:

The metadata are not complete if the format is not compatible with ArcGIS 9, if it is not FGDC Compliant, and

if copies of the survey report in PDF format are not delivered as an attachment. 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 Rutland Ranch Ground Control Report may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/68/supplemental/index.html

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Contour
None ESRI
None Height
None Hydrography
None Photogrammetry
None Planimetric
None Shapefile
None Stereo Photogrammetry
None TIN

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
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: 687622
Date Effective From: 2006
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: 687624
Date Effective From: 2006
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: 687625
Date Effective From: 2006
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: 687623
Date Effective From: 2006
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: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1140289
W° Bound: -82.316007
E° Bound: -82.21556
N° Bound: 27.56755
S° Bound: 27.495774

Extent Group 1 / Time Frame 1

CC ID: 1140288
Time Frame Type: Discrete
Start: 2006-02-01

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: 742677
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=68
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: 742678
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/68/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 742680
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 742681
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 687650
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 687649
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: 718630
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742679
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

ArcInfo 9.0

Data Quality

Accuracy:

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.

Horizontal Positional Accuracy:

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).

Vertical Positional Accuracy:

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 sub-sampling 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 0.111 feet which equates to a Vertical Accuracy of 0.218 feet at the 95% confidence level.

Completeness Measure:

Cloud Cover: 0

Completeness Report:

The LAS files were flown at a density sufficient to support a maximum final post spacing of 4 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.

Conceptual Consistency:

The LAS files were flown at a density sufficient to support a maximum final post spacing of 4 feet for unobscured

areas. 3001 Inc. acquired 40 flightlines on February 1, 2006. The data was divided into 5000' by 5000' foot cells that serve as the

tiling scheme. The Rutland Ranch LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor.

Lineage

Sources

Rutland Ranch LiDAR Survey

CC ID: 1140280
Publish Date: 2006-01-01
Extent Type: Discrete
Extent Start Date/Time: 2006
Scale Denominator: 24000
Source Contribution:

The Rutland Ranch 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

Process Steps

Process Step 1

CC ID: 1140281
Description:

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.

Process Date/Time: 2006-02-01 00:00:00

Process Step 2

CC ID: 1140282
Description:

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 (FIPS 0902) coordinate

system, with units in feet and referenced to the NAD83 horizontal datum and NAVD88 vertical datum.

Process Date/Time: 2006-07-12 00:00:00

Process Step 3

CC ID: 1140283
Description:

The unedited data are classified to facilitate the application of the appropriate feature extraction filters.

A combination of proprietary filters are 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.

Process Date/Time: 2006-07-19 00:00:00

Process Step 4

CC ID: 1140284
Description:

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 20060724 - 20060831.

Process Date/Time: 2006-07-24 00:00:00

Process Step 5

CC ID: 1140285
Description:

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 9 = 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.

Process Date/Time: 2006-09-04 00:00:00

Process Step 6

CC ID: 1140286
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 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.

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

Catalog Details

Catalog Item ID: 50028
GUID: gov.noaa.nmfs.inport:50028
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