A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

OpenSustainabilityAnalyst ReportAnalyst is an open-source / open-core framework for customizable research-driven end-to-end sustainability report analysis with AI

An early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.

A distributed hydrology-guided neural network model for streamflow prediction

An open-source platform for modeling systemic climate transition risks in financial systems. Developed by CFA Institute RPC & UK CGFI

CATIA is a catastrophe AI system that integrates advanced artificial intelligence, actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies.

This collection of examples analyzes, models, and forecasts the volatility associated with a collection of soft commodities.

Asset-level wildfire exposure intelligence for Mediterranean WUI — structural + event-context risk scoring, 4-event LOEO validation, LightGBM + SHAP

Physical climate risk financial valuation

A strategic consulting suite that bridges Finance and Sustainability. Features include Monte Carlo simulations for Carbon Tax risk, real time Green Premium tracking for chemical solvents, satellite based solar feasibility studies, and NLP driven governance audits.

Measuring climate risk with Google Trends

Mapping long-term groundwater trends across France (2005–2025) using hydrogeological aggregation.

Workflow to create composite climate hazard risk for the Africa Adaptation Atlas

Treaty-style governance standard for planetary continuity: PCI metrics, ICT-compliant advisory rules, incentives/penalties for exported harms, and public continuity rights.

🔥 Asia-Pacific Fire Anomaly Detection using ESA Fire_cci v5.1 & Isolation Forest ML.

Análisis de riesgo hidroclimático con enfoque en sequías, inundaciones, GIS y soporte a decisiones.

A real-time AI disaster risk prediction platform that analyzes weather, soil, elevation, and seismic data to forecast Heatwaves, Floods, and Landslides using ML models and FastAPI backend.

Global Fire Monitoring System v3.2 is an advanced satellite-based fire analysis platform that leverages ESA CEDA Fire_cci data for large-scale global fire pattern detection and clustering analysis. The system processes 12,500+ grid cells simultaneously and provides comprehensive insights into fire behavior patterns across 6 continents.

Research-driven analysis of climate and nature risk across European regions using data, scoring models, and visualisation.

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).