Recent Trends In Geospatial Ai
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Recent Trends in Geospatial AI
Geospatial research is facing both enormous new potential and challenges due to artificial intelligence (AI). Theoretical advances, large data, computer hardware, and high-performance computing platforms that enable the creation, training, and deployment of AI models in a reasonable amount of time are the main drivers of its rapid development. There have been notable developments in the field of geospatial AI, particularly in the areas of machine learning, deep learning, and the most recent advancements in AI technology in both academia. These advancements are transforming how spatial data is analyzed and interpreted, enabling more accurate predictions, real-time mapping, and enhanced decision-making capabilities across various applications. Recent Trends in Geospatial AI discusses the emerging potentials, challenges, and trends in geospatial AI. It further explores innovative applications of geospatial AI across a variety of sectors. Covering topics such as data processing, internet of things (IoT), and traffic flow optimization, this book is an excellent resource for graduate and postgraduate students, researchers, academicians, practitioners, and more.
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.
Emerging AI Applications in Earth Sciences
This proposed book provides deeper insights into artificial intelligence techniques and procedures available for earth sciences. This book unveils several applications of metaheuristic approaches (i.e., swarm intelligence and IoT technologies) in collaboration with AI for earth sciences. It presents the science behind smart technologies that reveal the power of artificial intelligence and IoT. These methodologies help to extract meaningful insights from earth sciences big data analytics. These advanced technologies used in earth science practices can remove geographical barriers, locally adaptive, operationally feasible, and economically affordable. The areas can be explored with the aim of digitizing the whole world. Technological advancement also impacts the financial aspect involved in managing the earth sciences. Intelligent AI applications have made significant strides in the field of earth sciences, offering novel solutions to complex challenges, driving impactful research, and revolutionizing data analysis and interpretation. This intersection of artificial intelligence and earth sciences has paved the way for an enhanced understanding of our planet and its various phenomena.