Several field work and reconnaissance data -primarily pre- and post-storm street-level and aerial imagery- were used to create a comprehensive collection of datasets for virtual damage assessment (VDA) and first-floor elevation (FFE) measurements of 3,408 building structures impacted by Hurricane Ian (2022) in Fort Myers Beach, Florida. The methodology was implemented using engineering students and was validated through a cross-comparison between student and expert opinions. The VDA data includes component-based damage assessment on a damage state (DS) scale from no damage (DS0) to complete damage (DS6) for roof, walls, elevated floors, windows and doors, attachments, and foundations to estimate the overall damage to the structure. The FFE data includes foundation type based National Flood Insurance Program (NFIP) guidelines which are managed by the Federal Emergency Management Agency (FEMA). This dataset also integrates publicly available data utilized in this project, including: (1) National Structural Inventory (NSI), (2) Lee County Damage Assessment (LCDA), (3) Tax Assessor (TA), (4) Florida Elevation Certificate (FEC), (5) surge/wave data based on high-water marks (HWMs). This collection of datasets can be utilized to improve understanding of hurricane damage to buildings, which can lead to the development of reliable models to predict damage in coastal communities.
Mission | An integrated Pre and Post Storm Dataset for Hurricane Ian (2022)
Cite This Data:
Amini, M., D. Cox, A. Barbosa, S. Appleton Figueira (2024). " An integrated Pre and Post Storm Dataset for Hurricane Ian (2022)", in Virtual Damage Assessment and First-floor Elevation Estimation: Application to Fort Myers Beach, Florida and Hurricane Ian (2022). DesignSafe-CI. https://doi.org/10.17603/ds2-c1g8-qy41
This mission includes datasets for virtual damage assessment (VDA) and first-floor elevation (FFE) measurements of 3,408 buildings impacted by Hurricane Ian (2022) in Fort Myers Beach, Florida, as well as other publicly available datasets that were used in this project. The collection named “Overall Dataset” includes VDA and FFE data and related datasets mapped at the parcel level. The collection named "Validation and Uncertainty Assessment Dataset" includes VDA validation and FFE uncertainty assessment data for selected buildings. Additionally, the original files for publicly available datasets are provided for future application in coastal resilience studies. This mission also includes related peer-reviewed paper, presentation, poster. For more information, please refer to Overview Report and Readme files.
This dataset mainly includes virtual damage assessment (VDA) data and first-floor elevation (FFE) measurements for building structures. This dataset also includes other related datasets mapped to VDA and FFE data at the parcel level for future application in coastal resilience studies.
File Name
Engineering/Geosciences Collection | Validation and Uncertainty Assessment Dataset
This dataset includes (1) expert validation for virtual damage assessment results and (2) validation and uncertainty assessment of first-floor elevation measurements for selected buildings based on building and foundation types.
This dataset includes: (1) the original National Structure Inventory (NSI) data, and (2) the revised NSI data to improve the accuracy of dataset for this project. For more information, please refer to Readme file.
This dataset includes high-water marks, measured by United States Geological Survey (USGS) and Structural Extreme Events Reconnaissance (StEER) groups.
File Name
Engineering/Geosciences Collection | Building Footprint Dataset
This dataset includes building footprint data (GIS Shapefile) for (1) Lee County, FL in 2024, two years after Hurricane Ian landfall and (2) Fort Myers Beach, FL in 2021, before Hurricane Ian landfall.
Research Planning Collection | Document Collection
Data Collectors
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Description:
This collection consists of documents, including a overview report, paper, presentation, and poster. Additional information is available in the Readme files.
