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Short Citation:
OCM Partners, 2022: 2007 - 2008 Florida Division of Emergency Management (FDEM) Lidar Project: Blocks 1 - 10 (Southeast Florida and Keys), https://www.fisheries.noaa.gov/inport/item/49665.

Item Identification

Title: 2007 - 2008 Florida Division of Emergency Management (FDEM) Lidar Project: Blocks 1 - 10 (Southeast Florida and Keys)
Short Name: fdem2007_blocks1_10_m520_metadata
Status: Completed
Publication Date: 2009
Abstract:

This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for the State of Florida Division of Emergency

Management LiDAR Project. These data were produced for the Florida Division of Emergency Management. 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 the data from

July 12, 2007 through February 8, 2008. The data was divided into 5000' by 5000' cells that serve as the final tiling scheme. The State

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

The data were collected and are organized into 10 blocks. To determine which block or blocks are in your area of interest,

download ch2mhill_block_index_shapefile.zip at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/supplemental/ch2mhill_block_index_shapefile.zip

Each block has a metadata record, a Survey Report, a Vertical Accuracy Report and a LiDAR Processing Report which may be accessed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/supplemental/

Original contact information:

Contact Org: 3001 Inc

Title: LiDAR Department

Phone: (985) 661 - 3001

Email: lidar@3001inc.com

Purpose:

The State of Florida Division of Emergency Management LiDAR Project 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. The State of Florida Division

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

Notes:

10309

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Contour
None Height
None Photogrammetry
None Planimetric
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 from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Acknowledgment of Florida Division of Emergency Management would be appreciated in products derived from these data.

Support Roles

Data Steward

CC ID: 671868
Date Effective From: 2009
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: 671870
Date Effective From: 2009
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: 671871
Date Effective From: 2009
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: 671869
Date Effective From: 2009
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: 1138548
W° Bound: -81.817534
E° Bound: -80.021117
N° Bound: 27.565112
S° Bound: 24.537523

Extent Group 1 / Time Frame 1

CC ID: 1138547
Time Frame Type: Range
Start: 2007-07-12
End: 2008-02-08

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Security Classification System:

Unclassified

Security Handling Description:

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: 740634
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=520
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: 740635
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 740637
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 740638
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 671900
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 671899
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: 718213
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740636
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 9.2.0.1324

Data Quality

Accuracy:

The State of Florida Division of Emergency Management LiDAR survey was collected under the guidance of a Professional Mapper/Surveyor.

The data was collected at a density sufficient to support a maximum final post spacing of 4 feet for unobscured areas.

Horizontal Positional Accuracy:

All ground control processing and adjustment was performed using published coordinate horizontal and vertical datums (e.g. NGS CORS).

For deliverables, Corpscon for Windows Version 5.11.08 (geoid 03) was used for horizontal and vertical datum conversion as well as for

coordinate system conversion purposes (e.g. UTM to State Plane).

The horizontal accuracy baseline spec was for the data to meet or exceed a 3.8 ft horizontal accuracy at the 95% confidence level

using RMSE(r) X 1.7308 as defined by the FGDC Geospatial Positioning Accuracy Standards, Part 3: NSSDA. The horizontal accuracies for

each block were tested. To obtain the tested horizontal accuracy, please refer to the Survey Report for each block, which may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/supplemental/

To determine which block or blocks are in your area of interest, download ch2mhill_block_index_shapefile.zip at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/supplemental/ch2mhill_block_index_shapefile.zip

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. 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.

The vertical accuracy baseline spec was for the data to meet a fundamental vertical accuracy of 0.60 ft at the 95% confidence level

using RMSE(z) X 1.9600 (as defined by the ASPRS Guidelines: Vertical Accuracy Reporting for Lidar Data"). The vertical accuracies for

each block were tested. To obtain the tested vertical accuracy, please refer to the Survey or Vertical Accuracy Report for each block,

which may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/supplemental/

To determine which block or blocks are in your area of interest, download ch2mhill_block_index_shapefile.zip at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/520/supplemental/ch2mhill_block_index_shapefile.zip

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 Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for the State of Florida Division of Emergency

Management LiDAR Project. These data were produced for Florida Division of Emergency Management. 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 the data from

July 12, 2007 through February 8, 2008. The data was divided into 5000' by 5000' cells that serve as the final tiling scheme. The State of

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

Lineage

Sources

State of Florida Division of Emergency Management LiDAR Project Survey

CC ID: 1138538
Extent Type: Discrete
Extent Start Date/Time: 2007-09-04
Scale Denominator: 24000
Source Contribution:

The Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for the State of Florida Division of Emergency

Management LiDAR Project. These data were produced for Florida Division of Emergency Management. 3001 Inc. acquired the data from

July 12, 2007 through February 8, 2008. The data was divided into 5000' by 5000' cells that serve as the final tiling scheme. The State

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

| Source Geospatial Form: remote-sensing image | Type of Source Media: digital tape media

Process Steps

Process Step 1

CC ID: 1138539
Description:

The Airborne Global Position System (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 of the aircraft. During the aerial survey laser

pulses reflected from features on the surface and 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 20 km radius from the flight survey area.

Process Date/Time: 2008-02-08 00:00:00

Process Step 2

CC ID: 1138540
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 1.1 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 produced in the Florida State Plane East Zone coordinate system, with units in feet and referenced to the

NAD83/90 HARN horizontal datum and NAVD88 vertical datum.

Process Date/Time: 2008-02-08 00:00:00

Process Step 3

CC ID: 1138541
Description:

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.

Process Date/Time: 2008-03-13 00:00:00

Process Step 4

CC ID: 1138542
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 landcover, 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.

Process Date/Time: 2008-03-27 00:00:00

Process Step 5

CC ID: 1138543
Description:

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: Flight Date Julian, Year, and Class.

The data were classified as follows:

Class 1 = Unclassified- this class includes vegetation, buildings, noise etc.;

Class 2 = Ground;

Class 7 = Noise;

Class 9 = Water;

Class 12 = Overlap.

The datasets were delivered in the 5000' by 5000' tiling scheme. 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 six character length and all files utilize

the LAS file extension.

Process Date/Time: 2008-08-06 00:00:00

Process Step 6

CC ID: 1138544
Description:

Dataset copied.

Process Date/Time: 2009-12-14 00:00:00

Process Step 7

CC ID: 1138545
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 West 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: 2009-12-01 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity LAS

Catalog Details

Catalog Item ID: 49665
GUID: gov.noaa.nmfs.inport:49665
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