Enhancing Climate Change Mitigation: An AI-Based System for Real-Time Monitoring of Environmental Changes Using Satellite Data

Outlet Title

Decision Sciences Institute 56th Annual Meeting

Authors

• Yesu Vara Prasad Kollipara
• Omar El-Gayar

Document Type

Conference Proceeding

Publication Date

2025

Abstract

This study presents a real-time AI system for environmental monitoring using satellite imagery. The framework integrates EfficientNet-B0 with attention for spatial classification, LSTM for temporal forecasting, and transfer learning for cross-satellite generalization. Trained on EuroSAT and validated on Landsat-8, the system achieved 77.7% classification accuracy with inference times under 0.15 seconds per image. A cloud-based dashboard enables visualization of deforestation, carbon trends, and land cover changes for policymakers. Aligned with SDG 13 and CORSIA, the approach demonstrates scalability, efficiency, and policy relevance, offering a practical AI-based tool for climate change mitigation.

Recommended Citation

Kollipara, Yesu Vara Prasad and El-Gayar, Omar, "Enhancing Climate Change Mitigation: An AI-Based System for Real-Time Monitoring of Environmental Changes Using Satellite Data" (2025). Research & Publications. 482.
https://scholar.dsu.edu/bispapers/482