Elsevier Observation and AI Techniques for Digital Earth

Observation and AI Techniques for Digital Earth examines observation and artificial intelligence techniques being incorporating into Digital Earth, including data mining, deep learning, cloud computing, and the internet of things. The book provides a comprehensive understanding and leveraging of the Digital Earth concept by exploring artificial intelligence and environmental observation. It aims to encourage sustainable development and enhance our understanding of Earth's dynamic systems by covering key topics such as integrated observation systems, geospatial AI applications, and commercialization strategies. This is an essential resource for those seeking to harness AI technologies for practical applications in environmental monitoring and management. Covers detailed AI technique advances, including data mining, deep learning, cloud computing, and the Internet of Things being incorporated into Digital Earth Reflects efficient AI applications and commercialization in Digital Earth to promote data acquisition, mechanism mining, and impact analyses across the entire spectrum of Earth and environmental sciences Includes case studies and examples of AI applications in areas like disaster mitigation, precision agriculture, and biodiversity protection Aligns with United Nations' Sustainable Development Goals by emphasizing the role of AI and Digital Earth in promoting sustainability and addressing global environmental challenges