Socio-Ecological Resilience and Sustainability

This book provides a comprehensive, interdisciplinary approach to sustainability by integrating technological innovations, governance frameworks, and socio-economic strategies to address pressing environmental issues. Using AI, GIS, remote sensing, deep learning, and decision support systems, it investigates climate resilience, environmental conservation, and human-environment interactions through feasible alternatives. The book focuses on governance strategies, renewable energy transitions, smart cities, and circular economies as ways to promote sustainable development. It draws attention to the ways in which AI-powered models and GIS technology might assist in making decisions related to conserving biodiversity, disaster risk reduction, climate adaption, and sustainable resource management. This volume's emphasis on practical applications and policy integration, with case studies showcasing actual initiatives for social justice, environmental sustainability, and economic resilience, is one of its strongest points. The book is a useful tool for researchers, policymakers, corporate sustainability specialists, and practitioners looking for data-driven plans for a resilient and sustainable future since it connects scientific research with governance, financial strategies, and policymaking.