This book provides a comprehensive exploration of how smart and emerging technologies can help societies mitigate and adapt to the accelerating impacts of climate change. It brings together cutting-edge research, practical innovations, and real-world applications to demonstrate how digital intelligence—spanning AI, IoT, geospatial systems, digital twins, robotics, and smart infrastructure—can strengthen climate resilience across key sectors. As climate risks intensify worldwide, traditional approaches are no longer sufficient; this book highlights how data-driven tools are enabling faster predictions, more efficient resource management, and adaptive responses that protect communities and ecosystems. The volume examines two interconnected pillars: mitigation, which focuses on reducing greenhouse gas emissions through smart energy systems, low-carbon mobility, climate-aware urban design, and intelligent agriculture; and adaptation, which leverages predictive analytics, environmental sensor networks, satellite-based monitoring, automated water systems, and resilience-oriented planning to prepare for floods, droughts, heatwaves, and other climate hazards. By integrating case studies, conceptual frameworks, and technological insights, the book shows how digital platforms can deliver early warning systems, optimize renewable energy, modernize food production, and support climate-smart governance. A central theme is the need to bridge technological innovation with social inclusion. The book addresses challenges such as the digital divide, affordability, ethical use of data, and the governance of AI in climate systems. It emphasizes the importance of accessible, scalable, and culturally appropriate solutions—particularly for vulnerable and resource-constrained regions that face the greatest climate risks. Through interdisciplinary contributions, the work underscores how smart technologies can transform environmental management while supporting sustainable development goals. This book is designed for researchers, policymakers, practitioners, technologists, educators, and graduate students seeking to understand how digital innovations can drive effective, equitable, and future-ready climate action.

Dr. A. Jose Anand is a Professor at the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, India. He has one year of industrial experience and over twenty five years of teaching experience. He has presented several papers in prominent conferences, and has published several papers in reputed journal, and also published books in professional & engineering subjects. He is a member of Institution of Engineers, Computer Society of India, Institution of Engineering and Technology, Indian Society for Technical Education, etc. His current research interests include Wireless Sensor Networks, Embedded systems, IoT, Machine Learning and Image Processing, etc.

Dr. Saravanan Krishnan is an Associate Professor, Department of Computer Science & Engineering in College of Engineering, Guindy, Anna University, Chennai, India. He is also Deputy Director for Centre for University-Industry Collaboration (CUIC), Anna University, Chennai. He has a Masters in Software Engineering and PhD in Computer Science and Engineering. His research interests include Cloud Computing, Blockchain, Software Engineering, IoT, Smart cities. He has published papers in a number of conferences and reputed journals. He has also written 21 book chapters and edited 15 books with major publishers. He has been a consultant to municipal corporations and Smart City schemes. He is an active researcher and academician, and a is reviewer for many reputed journals. He is Fellow of Institution of Engineers and senior member of Association of Computing Machinery, Indian Society for Technical Education, etc.

Dr. Zhongyu Lu, is a Professor at the Leeds Beckett University, Leeds, United Kingdom. Her extensive research covers information access, retrieval and visualization, XML technology, object oriented technologies, agent technology, data management systems, security issues and Internet computing. She has been an invited speaker for industrial-oriented events and published 5 academic books and more than 160 papers. Professor Lu has acted as the founder and a program chair for the International XML Technology workshop and XMLTech (USA) for 11 years (2003-2011). She also serves as Chair of 5 separate international conferences, is a regular reviewer for several international journals, and a committee member for 16 international conferences. She specializes in XML technology and mobile computing with image retrieval through the latest wireless devices. Professor Lu serves as a member of the British Computer Society (BCS), BCS examiner of Advanced Database Management Systems, and fellow of the Higher Education Academy (UK). She is a founder and Editor-in-Chief for the International Journal of Information Retrieval Research.

Dr. Yu Chen is a Professor of Electrical and Computer Engineering at the Binghamton University - State University of New York (SUNY). He received a Ph.D. in Electrical Engineering from the University of Southern California (USC) in 2006. Leading the Ubiquitous Smart & Sustainable Computing (US2C) Lab, his research interest focuses on Trust, Security, and Privacy in Computer Networks, including Edge-Fog-Cloud Computing, the Internet of Things (IoT), and their applications in smart and connected environments. Dr. Chen's publications include over 200 papers in scholarly journals, conference proceedings, and books. His research has been funded by NSF, DoD, AFOSR, AFRL, New York State, and industrial partners. He has served as a reviewer for NSF panels, DoE Independent Review panel, and international journals, and on the Technical Program Committee (TPC) of prestigious conferences. He is a Senior Member of IEEE (Computer Society & Communication Society) and SPIE, and a member of ACM and SIGMA XI.