I am conducting research on how AI can enhance environmental monitoring, particularly in tracking and predicting carbon emissions from industrial and urban activities. Key areas include:

• Satellite and sensor data analysis using machine learning
• Predictive models for CO₂, CH₄, and NOx emissions
• Real-time AI tools for emission auditing and regulatory compliance
• Integrating AI with carbon trading systems and ESG platforms

Looking for collaborators, datasets, and recent case studies (preferably Singapore/Asia-focused) to support this study. Suggestions on methodology or literature are highly welcome.