2007 Florida Division of Emergency Management (FDEM) Lidar Project: Eastern Indian River 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 255 square miles in the eastern portion of Indian River County, Florida from August 24 - 28, 2007.

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

and 12 = Overlap. The data was collected at a maximum post spacing of 4 feet in unobscured areas for random point data.

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 data set is available in the Minimum Technical Standard (MTS report) "Minimum Technical Standards,

Vol.2 Final Report of Lidar Mapping, Indian River County, Florida" and in "Minimum Technical Standards, Vol. 1 Final Report of

Lidar Control and QA/QC Checkpoint Survey, Indian River County, Florida."

These reports may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/539/supplemental

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

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/539/supplementalFDEM_Lidar_Indian_River_County.kmz

Entity and Attribute information designed in accordance to FDEM Baseline Specifications 1.2 (Attachment 3)

Entity and Attribute information designed in accordance to FDEM Baseline Specifications 1.2 (Attachment 3)

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

or its partners.

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

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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 3; ESRI ArcCatalog 9.2.2.1350

Per contract specification, the horizontal accuracy requirement is to meet or exceed a 3.8-foot (1.15 m) horizontal accuracy at the

95% confidence level using RMSE(r) x 1.7308 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA.

Please refer to the two reports that accompany this data set for more detailed information. These reports may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/539/supplemental/index.html

0.3-feet (9.14 cm) tested RMSE for unobscured ground points. 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 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).

The Brush Lands and Low Trees and the Forested Areas Fully Covered by Trees landcover types exceed the recommended maximum values

for RMSEz and 95% CI. Brush Lands and Low Trees exceed the recommended accuracies by 0.07 feet and 0.14 feet, respectively.

Forested Areas Fully Covered by Trees type exceeds the recommended accuracies by 0.31 feet and 0.61 feet, respectively. This indicates

that there is a greater degree of misclassification of lidar points within these landcover types than within the Bare Earth and

Low Grass and Urban Areas landcover types. It is important that users of the data be aware of the potential accuracy limitations

within the Forested Areas Fully Covered by Trees and to a lesser degree for the Brush Lands and Low Trees.

Please refer to the two reports that accompany this data set for more detailed information. These reports may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/539/supplemental/index.html

This feature class represents the complete set of data for 284 tiles within Indian River County.

The LiDAR DTM was developed in accordance with the Baseline Specifications 1.2. The DTM is intended to

support 2-foot contours, and the vertical accuracy of ground points in unobscured areas is not to exceed 0.6-feet RMSE.