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Potential Breakthroughs in Environmental Monitoring and Management
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Author(s): Abdulhalim Musa Abubakar (Modibbo Adama University, Nigeria), Irnis Azura Zakarya (Sustainable Environment Research Group (SERG), Centre of Excellence Geopolymer and Green Technologies (CEGeoGTech), Universiti Malaysia Perlis, Arau, Malaysia), Mohammad Hasnain (Department of Geological Engineering, Faculty of Engineering & Architecture, Balochistan University of Information Technology Engineering & Management Sciences (BUITEMS), Quetta, Pakistan), Zakiyyu Muhammad Sarkinbaka (Department of Chemical Engineering, Faculty of Engineering, Federal University Wukari (FUW) Wukari, Nigeria), Kishan Chand Mukwana (Faculty of Environmental Engineering, QUAID-E-AWAM University of Engineering, Science & Technology (QUEST), Nawabshah, Pakistan)and Ahmed Abdo (Environmental Engineering Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt)
Copyright: 2025
Pages: 44
Source title:
Harnessing AI in Geospatial Technology for Environmental Monitoring and Management
Source Author(s)/Editor(s): Froilan D. Mobo (Philippine Merchant Marine Academy, Philippines)
DOI: 10.4018/979-8-3693-8104-5.ch011
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Abstract
Environmental monitoring and management are critical for sustainable development and the preservation of natural resources. Recent advancements in artificial intelligence (AI) integrated with geospatial technologies promise to revolutionize these fields. Delving into potential breakthroughs, AI offers precise, real-time monitoring of environmental parameters through machine learning (ML) algorithms, remote sensing data, and geographic information systems (GIS). Enhanced data analysis techniques facilitate the early detection of environmental anomalies, predictive modeling of ecological trends, and efficient resource management. Successful implementations of AI in tracking climate change impacts, managing natural disasters, and monitoring biodiversity are presented through various case studies. Challenges such as data privacy, algorithm transparency, and the need for interdisciplinary collaboration are also addressed. Future research directions explore AI's potential to foster more resilient and adaptive environmental management practices. Synthesizing AI and geospatial technology underscore a transformative approach to safeguarding our environment.
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