This chapter explores the integration of remote sensing technologies and
Artificial Intelligence (AI) within the framework of Industry 6.0, driving environmental
sustainability to new frontiers. The convergence of these state-of-the-art technologies
offers unprecedented opportunities for monitoring, analyzing, and mitigating
environmental challenges worldwide.
AI algorithms, combined with high-resolution satellite imagery and sensor networks,
enable real-time environmental monitoring, predictive climate modeling, and optimized
resource management. This chapter presents case studies demonstrating promising
applications in deforestation tracking, air quality assessment, and precision agriculture.
Additionally, methodological approaches such as machine learning and big data
analytics are discussed as the foundation for these advancements.
The chapter also examines emerging trends and future directions, including the
integration of edge computing and blockchain technology to enhance data security and
processing efficiency in smart city applications.
The transformative potential of AI-driven remote sensing in promoting sustainable
industries is emphasized, alongside a critical discussion of the challenges and ethical
considerations that must be addressed to ensure responsible and ethical deployment of
these technologies.
Keywords: Artificial intelligence, Climate change mitigation, Environmental sustainability, Industry 6.0, Machine learning, Remote sensing.
