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Data-Driven Assessment of the Impact of Hurricanes Ian and Nicole: Natural and Armored Dunes in the Aftermath of Hurricanes on Florida’s Central East Coast

  • Kelly M. San Antonio
  • , Daniel Burow
  • , Hyun Jung Cho
  • , Matthew J. McCarthy
  • , Stephen C. Medeiros
  • , Yao Zhou
  • , Hannah V. Herrero

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Hurricanes Ian and Nicole caused devastating destruction across Florida in September and November 2022, leaving widespread damage in their wakes. This study focuses on the assessment of barrier islands’ shorelines, encompassing natural sand dunes and dune vegetation as well as armored dunes with man-made infrastructure such as seawalls. High-resolution satellite imagery from Planet was used to assess the impacts of these hurricanes on the beach shorelines of Volusia, Flagler, and St. Johns Counties on the Florida Central East Coast. Shorefront vegetation was classified into two classes. Normalized Difference Vegetation Index (NDVI) values were calculated before the hurricanes, one month after Hurricane Ian, one month after Hurricane Nicole, and one-year post landfall. LiDAR (Light Detection and Ranging) was incorporated to calculate vertical changes in the shorelines before and after the hurricanes. The results suggest that natural sand dunes were more resilient as they experienced less impact to vegetation and elevation and more substantial recovery than armored dunes. Moreover, the close timeframe of the storm events suggests a compound effect on the weakened dune systems. This study highlights the importance of understanding natural dune resilience to facilitate future adaptive management efforts because armored dunes may have long-term detrimental effects on hurricane-prone barrier islands.

Original languageEnglish
Article number1557
JournalRemote Sensing
Volume16
Issue number9
DOIs
StatePublished - May 2024

Funding

This research was made possible by the NASA MUREP DEAP project funded by the National Aeronautics and Space Administration (80 NSSC 23 M 0053), the National Oceanic and Atmospheric Administration (NOAA), Office of Education, Educational Partnership Program with Minority-Serving Institutions award #NA21SEC4810004 (NOAA Center for Coastal and Marine Ecosystems—II), and the Department of Education’s Title III funds Bethune–Cookman University for the ADAPT-EI program (Advancing Data Analytics Program through Environmental Intelligence). The contents of this publication are solely the responsibility of the award recipient and do not necessarily represent the official views of the U.S. Department of Commerce, NOAA, or NASA. Any opinions, findings, conclusions, or recommendations expressed in this presentation are those of the authors and do not necessarily reflect the view of the funding agencies.

Keywords

  • dune vegetation
  • Florida Central East Coast
  • Hurricane Ian
  • Hurricane Nicole
  • LiDAR
  • NDVI
  • planet
  • sand dunes
  • seawalls

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