Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
Creation of flood inundation raster libraries and rating curves from HEC-RAS models.
Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not y…
Lightweight version of XBeach that uses CUDA C to run on the GPU. The code is used to simulate coastal waves, currents, sediment transport and beach morphology changes during extreme events. Visit:
Product Info, Background, and Data Structure
This plugin provides tools for geomorphological analysis in drainage basins.
🌊 REFlEx (Rapid Estimation of FLood EXtent) is the geomorphologic inundation model developed at CIMA Foundation
Code release for "Flood Extent Mapping During Hurricane Florence With Repeat-Pass L-Band UAVSAR Images"
Scripts to simulate coastal flood hazard at the global scale based on near-shore still water levels using a simple GIS routing.
RIFT-UConn: CUDA-accelerated 2D flood modeling with ATS-HDF5 rainfall, dynamic Green-Ampt infiltration, and urban drainage.
浸水想定区域のシェープファイル / GeoJSON から、産総研「グリッドPNGタイル」仕様に適合する XYZ タイル（パレットPNG / 数値PNG）を生成するパイプライン。検査 → 前処理 → ラスタライズ → 符号化 → タイル生成 → TileJSON を設定ファイル1枚で通す。元データが離散ランクか浸水深の実数値かを判定して出力形式を決め、メッシュサイズを頂点座標の間隔から実測して最大ズームレベルを自動決定する。
Modular Python pipeline for HAND-based flood inundation and damage estimation — from a (lat, lon) point and rainfall to a per-cell flood depth and damage map.
Source code for the coastal inundation forecast demonstration project for Fiji
Tsunami Coastal Assessment Tool: an easy-to-use visual tool to access a catalog of tsunami wave heights and arrival times.
Integrated Heavy Rainfall & Inundation Early Warning Platform powered by AI, weather intelligence, machine learning, and location-aware risk prediction.
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