Artificial intelligence, machine learning and GIS in environmental engineering: current trends

Recent advances in Artificial Intelligence (AI), Machine Learning (ML), and Geographic Information Systems (GIS) have significantly enhanced our understanding of environmental issues. This review analyzes publications from the IEEE Xplore Digital Library to assess the growing expertise in these fields. By applying filters based on year, technique, and keywords such as water, air, soil, climate change, energy, and waste, we visualize the evolving application of these technologies across key environmental topics. Our findings offer scientific guidance on the most relevant applications and highlight areas in need of further investigation. A detailed review of the literature also reveals the connection between different domains and their impact. This work intents to promote ongoing research and serve as a critical resource in the search for solutions to environmental challenges