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FIM (Flood Information Map Visualization) Deck


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Created: May 22, 2025 at 1:50 p.m.
Last updated: May 22, 2025 at 1:50 p.m.
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Abstract

The Flood Inundation Mapping (FIM) Visualization Deck is a web-based application designed to display and compare flood extent and depth information across various temporal and scenario conditions. It provides a front-end interface for accessing geospatial flood data and interacting with mapped outputs generated from hydraulic modeling.

Core Functions:
• Flood Extent Mapping: Visualizes flood extents from modeled scenarios (e.g., 2-year, 10-year, 100-year events) and real-time conditions based on streamflow observations or forecasts.
• Flood Depth Visualization: Displays depth rasters over affected areas, derived from hydraulic simulations (e.g., HEC-RAS).
• Scenario Comparison: Allows side-by-side viewing of multiple FIM outputs to support calibration or decision analysis.
• Layer Management Toolbox: Users can toggle basemaps, adjust layer transparency, load datasets, and control map extents.

Data Inputs:
• Precomputed flood inundation extents (raster/tile layers)
• Depth grids
• Stream gauge metadata
• Associated hydraulic model outputs

Technical Stack:
• Front-end: Built with JavaScript, primarily using Leaflet.js for interactive map rendering.
• Back-end Services: Uses GeoServer to serve raster tiles and vector layers (via WMS/WFS). Uses OGC-compliant services and REST endpoints for data queries.
• Data Formats: Raster layers (e.g., GeoTIFF, PNG tiles), vector layers (GeoJSON, shapefiles), elevation models, and model-derived grid outputs.
• Database: Integrates with a PostgreSQL/PostGIS backend or similar spatial database for hydrologic and geospatial data management.
• Deployment: Hosted via University of Iowa infrastructure, with modular UI elements tied to specific watersheds or study areas.

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Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Oceanic and Atmospheric Administration (NOAA), University of Alabama CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University

How to Cite

Erazo, C. (2025). FIM (Flood Information Map Visualization) Deck, HydroShare, http://www.hydroshare.org/resource/081c46bf60d24942a1f4ca9a3664aaa4

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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