2007 Florida Division of Emergency Management (FDEM) Lidar Project: Coastal Okaloosa County

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 167 square miles in coastal Okaloosa County, Florida from July 15, 2007 to August 21, 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

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.

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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/geoid18/562/supplemental/MTS_Report_Okaloosa_County_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/geoid18/562/supplemental/FDEM_Lidar_Okaloosa_County.kmz

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

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

None

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.

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.5.1450

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.

The LiDAR is required to meet 0.60 feet Fundamental Vertical Accuracy (FVA) and 1.19 feet

Consolidated Vertical Accuracy (CVA).

; Quantitative Value: 0.15 meters, Test that produced the value:

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

level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for Okaloosa County, Florida satisfies the criteria:

Countywide lidar dataset tested 0.49 ft (0.15 m) FVA vertical accuracy at 95% confidence level in open terrain, based on open terrain

RMSEz (0.25 ft) x 1.9600.

Countywide lidar dataset tested 0.78 ft (0.24 m) CVA vertical accuracy at 95% confidence level in all land cover categories combined, based on

consolidated RMSEz (0.40 ft) x 1.9600.

A visual qualitative assessment was performed in the source Lidar dataset.

Data covers the tile scheme provided for the county.