Simulation of urban heat islands in Lausanne with the InVEST urban cooling model

Automated calibration of the InVEST urban cooling model with simulated annealing

Tool for the placement of green cells on the Bologna landscape using specifically designed combinatorial optimization techniques. To display our results check the link.

The work in the competition titled The 2025 EY Open Science AI & Data Challenge: Cooling Urban Heat Islands（2025安永公开科学人工智能与数据挑战赛：冷却城市热岛竞赛作品）

A statistical downscaling pipeline using machine learning (XGBoost, Random Forest) to predict fine-grained Land Surface Temperature (LST) on 10-meter grids. Integrates Landsat 8/9, Sentinel-2 imagery, OpenStreetMap features, and ERA5-Land climate data across Vienna, Barcelona, and Hong Kong to map urban heat islands.

Open-source R toolkit for large-scale discovery, screening and retrieval of Weather Underground citizen weather station data for urban climate research.

Predicting Urban Heat Island (UHI) hotspots in NYC using Sentinel-2 satellite imagery and building footprint data.

Climate Observation and Optimal Local Cooling - City Resilience Assessment and Climate Knowledge