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Short Citation:
OCM Partners, 2022: 2007 Florida Division of Emergency Management (FDEM) Lidar Project: Portions of Clay and Putnam Counties, https://www.fisheries.noaa.gov/inport/item/49667.

Item Identification

Title: 2007 Florida Division of Emergency Management (FDEM) Lidar Project: Portions of Clay and Putnam Counties
Short Name: fdem2007_clay_putnam_m537_metadata
Status: Completed
Publication Date: 2008
Abstract:

This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for a coalition of GIS practitioners,

including the Florida Division of Emergency Management (FDEM), Florida Water Management Districts, Florida Fish and Wildlife

Conservation Commission, Florida Department of Environmental Protection, Army Corps of Engineers Jacksonville District, and

other state and federal agencies. The goal for this project is to use the LiDAR data as new elevation inputs for updated SLOSH

data grids. The ultimate result is the update of the Regional Hurricane Evacuation Studies (RHES) for the state. The State of Florida

Division of Emergency Management LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor.

Data were collected for 416 square miles in the eastern portions of Clay and Putnam Counties, Florida from August 18 - September 4, 2007.

This is a classified lidar data set. The data are classified: 1 = Unclassified, 2 = Ground (Bare Earth), 7 = Noise and 9 = Water.

The FDEM Baseline Specifications required a maximum post spacing of 4 feet, however, the PDS (Program and Data Solutions) team required

a much higher point density of its subcontractors in order to increase the probability of penetrating dense foliage during the mandated

summer acquisition; with nominal post spacing of 0.7 meters per flight line and 50% sidelap between flight lines, the average point

density is 4 points per square meter.

Original contact information:

Contact Org: Florida DEM

Phone: 850-413-9907

Email: gis@dca.state.fl.us

Purpose:

The LiDAR topographic mapping survey is to support the Florida Division of Emergency Management (FDEM) development and maintenance

of Regional Hurricane Evacuations Studies (RHES), which include vulnerability assessments, and to assist disaster response

personnel in understanding the threats to Florida's citizens and visitors. Additional intended uses for this survey are growth

management, map modernization/floodplain mapping, natural lands stewardship, and homeland security planning.

Notes:

10311

Supplemental Information:

A complete description of this dataset is available in the Minimum Technical Standard (MTS report) "Final Report of

Specific Purpose LiDAR Survey - LiDAR-Generated Breaklines and Contours" submitted to Florida Division of Emergency Management.

This report may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/537/supplemental/Survey_Report_for_Clay-Putnam_Counties_FL.pdf

A footprint of this data set may be viewed in Google Earth at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/537/supplemental/FDEM_Lidar_Clay_and_Putnam_Counties.kmz

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation

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 from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management

or its partners.

Support Roles

Data Steward

CC ID: 671942
Date Effective From: 2008
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: 671944
Date Effective From: 2008
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: 671945
Date Effective From: 2008
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: 671943
Date Effective From: 2008
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: 1138740
W° Bound: -81.905005
E° Bound: -81.427505
N° Bound: 30.204658
S° Bound: 29.338558

Extent Group 1 / Time Frame 1

CC ID: 1138739
Time Frame Type: Range
Start: 2007-08-18
End: 2007-09-04

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: 740644
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=537
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: 740645
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/537/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 740647
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 740648
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 671959
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 671958
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: 718215
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740646
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.3.1.1850

Data Quality

Horizontal Positional Accuracy:

Lidar source compiled to meet 1m horizontal accuracy.; Quantitative Value: 1 meters, Test that produced the value:

The PDS team does not perform independent horizontal accuracy testing on the LiDAR.

LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1 meter

horizontal accuracy standard at the 95% confidence level.

Vertical Positional Accuracy:

The LiDAR is required to meet 0.183 m (0.60 ft) Fundamental Vertical Accuracy (FVA) and

0.363 m (1.19 ft) Consolidated Vertical Accuracy (CVA).

; Quantitative Value: 0.167 meters, Test that produced the value:

Based on the vertical accuracy testing conducted by PDS, using NSSDA and FEMA guidelines, vertical accuracy at the 95% confidence

level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The data set for Clay-Putnam Counties, Florida satisfies the

criteria:

Countywide lidar dataset tested 0.167 m (0.55 ft) vertical accuracy at 95% confidence level in open terrain, based on open

terrain RMSEz 0.0853 m (0.28 ft) x 1.9600.

Countywide lidar dataset tested 0.265 m (0.90 ft) vertical accuracy at 95% confidence level in all land cover categories combined,

based on consolidated RMSEz 0.14 m (0.46 ft) x 1.9600.

Completeness Report:

A visual qualitative assessment was performed to ensure the data completeness against the intensity images derived from Lidar points.

No void or missing data.

Conceptual Consistency:

Data covers the tile scheme provided for the county.

Lineage

Sources

Lidar

CC ID: 1138734
Publish Date: 2007-01-01
Extent Type: Range
Extent Start Date/Time: 2007-09-06
Extent End Date/Time: 2008-02-11
Source Contribution:

LiDAR dataset was used to create intensity stereopairs for 3D breakline compilation and for contour generation. | Source Geospatial Form: vector digital data | Type of Source Media: online

Process Steps

Process Step 1

CC ID: 1138735
Description:

The ABGPS, IMU, and raw Optech 3100ea LiDAR scans are integrated using Optech Incorporated's DASHMap, version 1.1 software,

Terrascan software and Microstation software. The resultant file is in a LAS binary file format. The LAS file version 1.1 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 referenced to the NAD83 horizontal datum and

GRS80 vertical datum. The date and time for each flight line can be determined using the Julian date and time. The Julian date

is a continuous count of days and fractions since noon Universal Time on January 1, 4713 BCE on the Julian calendar.

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

Process Step 2

CC ID: 1138736
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. The LiDAR mass points were delivered in American Society for Photogrammetry and Remote Sensing LAS 1.1 format.

The header file for each dataset is complete as define by the LAS 1.1 specification. In addition the following fields are included

(Precision reported in brackets): Class (Integer); GPS Week Time (0.0001 seconds); Easting (0.01 meter); Northing (0.01 meter);

Elevation (0.01 meter); Echo Number (Integer 1 to 4); Echo (Integer 1 to 4); Intensity (8 Bit Integer); Flightline (Integer); Scan

Angle (Integer Degree). 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 (Bare Earth)

Class 7 = Noise

Class 9 = Water

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

Process Step 3

CC ID: 1138737
Description:

The NOAA Office for Coastal Management (OCM) received files in LAS format. The files contained LiDAR intensity and elevation measurements.

OCM performed the following processing on the data to make it available within Digital Coast:

1. The data were converted from State Plane Florida East coordinates to geographic coordinates.

2. The data were converted from NAVD88 heights to ellipsoid heights using Geoid03.

3. The LAS header fields were sorted by latitude and updated.

Process Date/Time: 2010-06-01 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity LAS

Catalog Details

Catalog Item ID: 49667
GUID: gov.noaa.nmfs.inport:49667
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:21+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