AI-Driven Climate Solutions: Leveraging LEO Satellites for Sustainability

Climate Change Monitoring through LEO Satellites and AI-integration

Abstract

Space science is entering a transformative phase, with thousands of satellites launched into space to serve various functions, from exploration to improving life on Earth. This paper studies the high density of satellites in the Low-Earth Orbit (LEO) and their critical role in climate change monitoring through remote sensing technology. The aspects of climate change focused on in this paper are air pollution, atmospheric humidity, and wildfires. These three areas are emphasized due to their high impact on climate change, public health, and economic costs. Remote sensing works to monitor air quality, track atmospheric humidity, and capture real-time thermal imagery of fires, aiding early warning systems to prevent drastic impacts on land. This paper further delves into the benefits of integrating Artificial Intelligence (AI) in enhancing data collection and interpretation through on-board computing, space cloud framework, and machine learning models. These reduce the latency of responses making climate monitoring more efficient and advanced.