FIM (Flood Information Map Visualization) Deck
收藏DataONE2025-04-08 更新2025-04-26 收录
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https://search.dataone.org/view/sha256:7ccaf90e79e12611d021705357574d881dc492c84f2bd151c65e7362e21eb592
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资源简介:
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.
Intended Use:
The application provides a reference and exploratory tool for comparing modeled flood scenarios, visualizing extent and depth data, and interacting with region-specific inundation data products.
创建时间:
2025-04-12



