A Collection of Flood Hazard Layers for New York City.

A presentation on leveraging Jupyter Notebooks for automating large scale flood risk studies

Exploring the Building Elevation and Subgrade (BES) Dataset for New York City in Python

Mangrove Flood Risk Assessment 🌳🌊

A python library for building and evaluating network models of flood storage areas and hydrological processes.

Generating aerial flood prediction imagery with generative adversarial networks

Experiments with LiDAR, IMU and machine learning for water level measurement.