Remote Sensing, Big Data, and GeoAI

Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is a foundational analysis and review exploring the transformative intersection of cutting-edge technologies in remote sensing. From fundamentals to advanced applications, this book equips readers with the knowledge and tools needed to apply AI and Big Data to remote sensing research, in order to improve decision-making and analysis. The book employs a dual approach, providing accessible explanations followed by real-world examples and case studies to bridge the gap between theory and practice. Readers will gain a deeper understanding of practical implications through a structured format that balances theoretical knowledge with immersive case studies, and will also gain an appreciation for ethical and legal considerations, making it an invaluable resource. Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights offers insights for researchers, professionals, and students interested in harnessing the latest AI and Big Data techniques in remote sensing to address complex geospatial challenges.

• Provides a full review of the development of Big Data and AI for remote sensing technologies, elucidating how we have begun to incorporate data and methods, and highlighting potential areas of growth
• Approaches the content from a practical but immersive angle, allowing readers to understand common data and methodological approaches with real world examples
• Includes chapters on emerging topics of consideration including the ethics/legality of using AI in remote sensing and how we teach such complex topics to students