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Short Citation:
OCM Partners, 2024: 2007 Northwest Florida Water Management District (NWFWMD) Lidar: Portions of Bay, Calhoun, Jackson and Washington Counties, https://www.fisheries.noaa.gov/inport/item/49871.

Item Identification

Title: 2007 Northwest Florida Water Management District (NWFWMD) Lidar: Portions of Bay, Calhoun, Jackson and Washington Counties
Short Name: nwfwmd2007_bay_m84_metadata
Status: Completed
Publication Date: 2007-11-05
Abstract:

LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform.

Using a combination of laser range finding, GPS positioning and inertial measurement technologies; LIDAR instruments are

able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.

Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 262 flight lines of high density (submeter ground

sample distance) data were collected over areas in Bay, Calhoun, Jackson and Washington Counties in Florida. This data set

was collected at the same time as the collection for Jefferson County, FL. Collectively, these data sets cover

approximately 1201 square miles. The data acquisition occurred in 17 missions between February 22, 2007 and March

13, 2007. Multiple returns were recorded for each laser pulse along with an intensity value for each return.

This data was collected at sub-meter resolution to provide average point spacing of 0.7 m for collected points. Up to

5 returns were recorded for each pulse in addition to an intensity value.

Original contact information:

Contact Name: John Crowe

Contact Org: Northwest Florida Water Management District (NWFWMD)

Phone: 850-539-5999

Email: john.crowe@nwfwmd.state.fl.us

Purpose:

The data was collected to support regulatory, land management and acquisition, planning, engineering, and habitat

restoration projects. It will also support the creation of Federal Emergency Management Agency Flood Insurance Rate Maps

(FEMA FIRM) and an integrated ground surface model for portions of these counties.

Notes:

10515

Supplemental Information:

Reflective surface data represents the DEM created by laser energy reflected from the first surface

encountered by the laser pulse. Some energy may continue beyond this initial surface to be reflected by a subsequent surface

as represented by the Last Return data. Intensity information is captured from the Reflective Surface pulse and indicates the

relative energy returned to the sensor as compared to the energy transmitted. The Intensity image is not calibrated or

normalized but indicates differences in energy absorption due to the interaction of the surface materials with laser energy

at the wavelength transmitted by the sensor. Points are classified as on ground surface or not on ground surface to support

creation of a bare earth model from the data. Points in the filtered ground class determined to be in open waterways or water

bodies were reclassified as Water.

The Preliminary Report for the data in Bay County may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/84/supplemental/NBay_County_Preliminary_QA_Report_1_.pdf

The Final Report for the data in the counties of Calhoun, Jackson and Washington may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/84/supplemental/QA-QC_Report_NWFWMD_BayAddOn.pdf

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None GRID

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
Data Presentation Form: Map (digital)
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: Northwest Florida Water Management District (NWFWMD)

Support Roles

Data Steward

CC ID: 681356
Date Effective From: 2007-11-05
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: 681358
Date Effective From: 2007-11-05
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: 681359
Date Effective From: 2007-11-05
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: 681357
Date Effective From: 2007-11-05
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: 1140548
W° Bound: -85.891976
E° Bound: -85.294776
N° Bound: 30.647342
S° Bound: 30.137242

Extent Group 1 / Time Frame 1

CC ID: 1140547
Time Frame Type: Range
Start: 2007-02-22
End: 2007-03-13

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

The data set is dynamically generated based on user-specified parameters.

;

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: 741815
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=84
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: 741816
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/84/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 741818
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 741819
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 681378
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 681377
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: 718451
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 741817
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 9.1.0.722

Data Quality

Accuracy:

None

Horizontal Positional Accuracy:

Compiled to meet 1 m horizontal accuracy at 95% confidence level.

Vertical Positional Accuracy:

Not yet determined, will be added.

Completeness Measure:

Cloud Cover: Unknown

Completeness Report:

LIDAR is self-illuminating and has minimal cloud penetration capability. Water vapor in steam plumes

or particulates in smoke may cause reflection of LIDAR signals and loss of elevation information beneath these plumes.

Glass structures and roofs may appear transparent to the LIDAR signal and therefore may not register on the reflective surface.

Some asphalt formulations have been shown to absorb topographic LIDAR wavelength energy resulting in "pitting" of roof

surfaces using this material.

Conceptual Consistency:

None

Lineage

Sources

2007 Northwest Florida Water Management District (NWFWMD) Lidar: Portions of Bay, Calhoun, Jackson and Washington Counties

CC ID: 1140537
Publish Date: 2007-11-02
Extent Type: Discrete
Extent Start Date/Time: 2007-02-22
Scale Denominator: 27000
Source Contribution:

Type of LiDAR Scanner = LH Systems ALS50 Data Acquisition Height = 700 meters AGL Scanner Field Of

View = 40 degrees Scan Frequency = 35 Hertz Pulse Repetition Rate - 50 Kilohertz Aircraft Speed = 120 KIAS Swath Width

= +/- 20 degrees Nominal Ground Sample Distance = 0.7 meters Number of Returns per Pulse = 5 (first, last, intermediate)

Distance Between Flight Lines = 365 meters

| Source Geospatial Form: Model | Type of Source Media: Digital Tape Media

Process Steps

Process Step 1

CC ID: 1140538
Description:

Data Collection:

Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 262 flight lines of high density (submeter ground

sample distance) data were collected over areas in Bay, Calhoun, Jackson and Washington Counties in

Florida. This data set was collected at the same time as the collection for Jefferson County, FL. Collectively, these data

sets cover approximately 1201 square miles. The data acquisition occurred in 17 missions between February 22, 2007 and

March 13, 2007. Multiple returns were recorded for each laser pulse along with an intensity value for each return.

During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground

base stations for final processing of the base-remote GPS solutions. Four (4) airborne global positioning system (GPS) base

stations were used to support the LiDAR data acquisition. GPS ground control check points were also collected by the LiDAR

team while onsite for product accuracy validation and delivery.

Process Date/Time: 2007-02-22 00:00:00

Process Step 2

CC ID: 1140539
Description:

Airborne GPS Processing:

Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best

estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface

for each flight line. The overlap between flight lines was removed to provide a homogeneous coverage, and the coverage was

classified to extract a bare earth digital elevation model (DEM). Airborne GPS is differentially processed using the

GrafNAV V7.50 software by Waypoint Consulting of Calgary, Alberta, Canada. The PDOP and distance separation is as follows:

IMU data is processed using the PosPac V4.2 software by Applanix Corporation of Richmond Hill, Ontario, Canada. The

reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta,

Georgia. The classification and quality control (QC) of LiDAR data is carried out using TerraScan software by Terrasolid

Limited of Helsinki, Finland.

Process Date/Time: 2007-04-01 00:00:00

Process Step 3

CC ID: 1140540
Description:

IMU data Processing:

IMU data provides information concerning roll, pitch and yaw of collection platform during collection event. IMU

information allows the pulse vector to be properly placed in 3D space allowing the distance from the aircraft reference

point to be properly positioned on the elevation model surface. IMU data is processed using the PosPac V4.2 software by

Applanix Corporation of Richmond Hill, Ontario, Canada.

Process Date/Time: 2007-05-01 00:00:00

Process Step 4

CC ID: 1140541
Description:

Reflective Surface Generation:

The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of

Atlanta, Georgia.

Process Date/Time: 2007-06-01 00:00:00

Process Step 5

CC ID: 1140542
Description:

LIDAR Ground Point Classification:

The classification and quality control (QC) of LiDAR Ground point class is carried out using TerraScan software by

Terrasolid Limited of Helsinki, Finland. In the filtering process points are classified as Ground or one of several

non-Ground classes including Unclassified, Overlap, and Low Points.

Process Date/Time: 2007-10-01 00:00:00

Process Step 6

CC ID: 1140543
Description:

Reclassification of Water Points:

LiDAR returns from open water surfaces are commonly included in the Ground class by the ground filtering algorithms.

Using 2D and 3D visualization methods, 2D vector polygons were digitized for significant waterways and water bodies that

were readily identifiable in the LiDAR data. These polygons were then used to re-classify points in open water from the

filtered Ground class to the Water class.

Process Date/Time: 2007-11-01 00:00:00

Process Step 7

CC ID: 1140544
Description:

Coordinate Reprojection:

Output LAS Files LIDAR points maintained in UTM coordinate system converted to Geographic projection with units of Decimal

Degrees

Process Date/Time: 2007-11-09 00:00:00

Process Step 8

CC ID: 1140545
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 the LiDAR Data

Retrieval Tool (LDART):

1. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03.

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

3. The data was filtered to eliminate outliers.

Process Date/Time: 2008-07-21 00:00:00

Catalog Details

Catalog Item ID: 49871
GUID: gov.noaa.nmfs.inport:49871
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:22+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