Advanced Geospatial Intelligence and AI for Environmental Resilience and Sustainable Development

By combining geospatial analysis with AI algorithms such as machine learning and deep learning, this book showcases innovative approaches for monitoring, modelling, and managing environmental systems at various scales. In the era of rapid technological advancement and increasing environmental concerns, the integration of geospatial techniques and artificial intelligence (AI) has emerged as a powerful tool for addressing environmental challenges and promoting sustainable resilience.This book delves into the intersection of these two fields, offering a comprehensive exploration of their applications, methodologies, and implications.This edited book brings together leading experts and researchers from diverse disciplines to provide insights into how geospatial data and AI technologies can be leveraged to tackle pressing environmental issues, ranging from climate change mitigation to natural resource management The purpose of this book is to bridge the gap between theory and practice, offering practical guidance and real-world case studies to readers interested in harnessing the potential of geospatial and AI technologies for environmental and sustainable resilience initiatives. Through a series of chapters covering topics such as remote sensing, spatial data analysis, environmental modelling, and decision support systems, the book equips readers with the knowledge and tools necessary to address complex environmental challenges in an increasingly interconnected world.The need for a new resource in this area stems from the growing demand for innovative solutions to environmental problems, coupled with the rapid advancement of geospatial and AI technologies. Existing literature often lacks a comprehensive overview of the integration of these two fields, making it challenging for practitioners and researchers to navigate the evolving landscape of environmental science and sustainability. This book fills that gap by providing a timely and authoritative resource that not only explores the theoretical foundations of geospatial and AI applications but also offers practical insights into their implementation and potential impact.