A Collection of Flood Hazard Layers for New York City.

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

Mangrove Flood Risk Assessment 🌳🌊

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

[PJDSC 2025] Explainable, street-level flood-risk mapping for Philippine cities.

Flood score integration for parcel-level flood risk assessment.

Generating aerial flood prediction imagery with generative adversarial networks

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

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

Tools and scripts for evaluating the meteorological performance of radar-based nowcasting models LDCast and GPTCast (Fondazione Bruno Kessler, FBK). Evaluation is carried out on two rainfall events over the Seveso basin (hydraulic node of Milan): 14 – 15 September 2023 and 31 October – 1 November 2023.

BlueWatch NI was inspired by the specification provided for the 2025 Sustainability Hackathon: Water, hosted by Queen's University Belfast. This solution was not submitted for the hackathon.