FETCH (Framework for Environmental Type Classification Hub) is a QGIS-based tool for automated Local Climate Zone (LCZ) classification. It combines Google Solar API data acquisition with advanced geospatial processing to analyze urban morphology and climate characteristics.

Reference implementation of the GSCC (Global Source-Conditioned Conductance-Circuit) method for mapping relative urban ventilation capacity from building morphology

Caractérisation structurelle du paysage urbain de Grigny par LiDAR HD IGN - Transposition Nowak et al. 2022 - M1 G2M Paris 8

Multi-source data fusion for urban heat mitigation modelling across six European cities. Combines satellite imagery, 3D morphology, and street-level data with explainable ML (XGBoost + SHAP).

This study identifies the driving factors influencing summer air temperature and develops a high-resolution temperature map using regression kriging in Seoul.

An AI/ML-Powered Geospatial Decision Support System That Integrates Satellite Imagery, Weather Data, And Urban Morphology To Identify Urban Heat Hotspots, Simulate Cooling Strategies, And Recommend Optimal, Location-Specific Interventions To Reduce Heat And Improve Climate Resilience.

Open-source QGIS urban analytics for climate-resilience screening: A two-stage explainable and robust prioritization of urban fabrics (İzmir Study)