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.

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.

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.