A Community-Oriented Flood Map Visualization and Evaluation Framework
Abstract
Flood inundation maps are essential for preparedness, response, and long‐term risk mitigation, yet many existing visualization platforms remain limited by rigid data structures and region‐specific workflows. This study introduces FIMApp, a client‐side, web‐based framework and platform for integrating, visualizing, and comprehensively evaluating flood map products using standardized, portable data formats. The system incorporates three data specifications, the FIM Database, FIM Scenario, and FIM Damage formats, which enable interoperable representation of flood extents, near-real-time inundation stages, and property‐level impacts. FIMApp supports raster and vector datasets, interactive scenario exploration, model comparison, and browser‐based persistence without server dependencies. A comprehensives case study demonstrates the framework’s ability to render stage‐wise inundation, quantify agreement between HAND and SRH‐2D models, and integrate hosted flood datasets (e.g., HydroShare). The results highlight the framework’s extensibility, reproducibility, and suitability for flood risk communication. The result is a scalable, community‐oriented platform for integrating and analyzing diverse flood mapping products.
Related
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BibTeX
@misc{sufi2026communityoriented,
title = {{A Community-Oriented Flood Map Visualization and Evaluation Framework}},
author = {Moiyyad Sufi and Carlos Erazo and Bong-Chul Seo and Felipe Quintero Duque and Pitamber Wagle and Daniel Ames and James Nelson and Ibrahim Demir},
howpublished = {EarthArXiv},
year = {2026},
month = oct,
doi = {10.31223/x5b81n},
url = {https://eartharxiv.org/repository/view/15547/},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A Community-Oriented Flood Map Visualization and Evaluation Framework
AU - Moiyyad Sufi
AU - Carlos Erazo
AU - Bong-Chul Seo
AU - Felipe Quintero Duque
AU - Pitamber Wagle
AU - Daniel Ames
AU - James Nelson
AU - Ibrahim Demir
PY - 2026
DA - 2026/10/16
PB - EarthArXiv
DO - 10.31223/x5b81n
UR - https://eartharxiv.org/repository/view/15547/
AB - Flood inundation maps are essential for preparedness, response, and long‐term risk mitigation, yet many existing visualization platforms remain limited by rigid data structures and region‐specific workflows. This study introduces FIMApp, a client‐side, web‐based framework and platform for integrating, visualizing, and comprehensively evaluating flood map products using standardized, portable data formats. The system incorporates three data specifications, the FIM Database, FIM Scenario, and FIM Damage formats, which enable interoperable representation of flood extents, near-real-time inundation stages, and property‐level impacts. FIMApp supports raster and vector datasets, interactive scenario exploration, model comparison, and browser‐based persistence without server dependencies. A comprehensives case study demonstrates the framework’s ability to render stage‐wise inundation, quantify agreement between HAND and SRH‐2D models, and integrate hosted flood datasets (e.g., HydroShare). The results highlight the framework’s extensibility, reproducibility, and suitability for flood risk communication. The result is a scalable, community‐oriented platform for integrating and analyzing diverse flood mapping products.
ER -