Advances In Scalable And Intelligent Geospatial Analytics
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Advances in Scalable and Intelligent Geospatial Analytics
Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.
Advances in Scalable and Intelligent Geospatial Analytics
"Geospatial data acquisition and analysis techniques have grown tremendously, providing an opportunity to solve environmental and natural resource related problems. Despite the challenges encountered in processing highly voluminous geospatial data in a scalable and efficient manner, advances in high-performance computing, computer vision, and big data analytics enable the efficient processing of big-geospatial data. As a comprehensive overview of the state-of-the-art, and future developments in this domain, readers, including scholars, academicians, industry experts, and government agencies, will gain insights into the emerging trends on scalable geospatial data analytics"--
Harnessing AI in Geospatial Technology for Environmental Monitoring and Management
The integration of Artificial Intelligence (AI) with geospatial technologies is increasingly vital in addressing environmental challenges facing society today. As climate change, resource depletion, and environmental degradation intensify, AI-driven geospatial tools offer powerful solutions for monitoring ecosystems, predicting environmental changes, and managing natural resources more effectively. By harnessing AI to analyze large volumes of environmental data, decision-makers can gain deeper insights and make more informed, timely decisions to protect the environment. This convergence of technology and environmental science has the potential to revolutionize how we understand and respond to environmental issues, making it a critical area of focus for sustainable development and environmental protection efforts. Harnessing AI in Geospatial Technology for Environmental Monitoring and Management explores the integration of AI with geospatial technologies to advance environmental monitoring and management practices. It discusses methods, challenges, and emerging technologies in the field. Covering topics such as agriculture, environmental information, and solar energy, this book is an excellent resource for academicians, researchers, professionals, policymakers, government officials, graduate and postgraduate students, and more.