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The 3D Elevation Program—Supporting Florida’s Economy

Fact Sheet 2023-3037
By:  and 
https://doi.org/10.3133/fs20233037

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Introduction

Florida has the longest coastline of any State in the contiguous United States, and its coastal resources are one of the main drivers of its economic growth. High-quality elevation data are beneficial for use in emergency management, especially for hurricane response, recovery, and mitigation, as well as for coastal zone management, flood risk management, infrastructure planning, agriculture, forestry, and natural resources management. Having regional or statewide elevation data coverage that was collected at about the same time allows for improved results from in-depth modeling and more meaningful analysis to support the State’s Chief Science Officer, Geographic Information Officer, State agencies, water management districts, and local governments that will use these data for decision making. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.

Suggested Citation

Fredericks, A.M., and Cretini, C., 2024, The 3D Elevation Program—Supporting Florida's economy: U.S. Geological Survey Fact Sheet 2023–3037, 2 p., https://doi.org/10.3133/fs20233037.

ISSN: 2327-6932 (online)

Study Area

Table of Contents

  • Introduction
  • Natural Resources Conservation
  • Flood Risk Management
  • Infrastructure and Construction Management
  • Coastal Zone Management
  • References Cited
Publication type Report
Publication Subtype USGS Numbered Series
Title The 3D Elevation Program—Supporting Florida's economy
Series title Fact Sheet
Series number 2023-3037
DOI 10.3133/fs20233037
Year Published 2024
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) National Geospatial Program
Description 2 p.
Country United States
State Florida
Online Only (Y/N) Y
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details