Geospatial Ai
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GEOSPATIAL AI
In an era defined by massive spatial data and rapid advancements in artificial intelligence (AI), the confluence of geospatial technologies and AI has emerged as a critical frontier for both scientific inquiry and real-world applications. This textbook, Geospatial AI: Principles, Technologies, and Research Applications, aims to equip readers with a comprehensive understanding of this interdisciplinary domain. Designed to serve undergraduate students, postgraduate scholars, and early-career researchers, the book begins with foundational knowledge of geospatial sciences and progresses to advanced AI-driven applications and research methods. It covers the entire spectrum of topics including GIS, remote sensing, machine learning, deep learning, big earth data, cloud computing platforms, and domain-specific applications such as agriculture, urban analytics, environmental monitoring, and disaster management. Each chapter integrates theoretical concepts, real-world case studies, and hands-on coding examples using Python, Google Earth Engine, and open-source tools. This structure ensures that learners not only understand the "what" and "why" but also the "how" of Geospatial AI. We hope this book serves as a vital resource for academic learning, practical implementation, and future research. It is our sincere belief that Geospatial AI will be instrumental in addressing some of the most pressing challenges facing humanity today— from climate change to food security to sustainable urbanization.
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.
The Routledge Handbook of Geospatial Technologies and Society
Author: Alexander J. Kent
language: en
Publisher: Taylor & Francis
Release Date: 2023-08-17
The Routledge Handbook of Geospatial Technologies and Society provides a relevant and comprehensive reference point for research and practice in this dynamic field. It offers detailed explanations of geospatial technologies and provides critical reviews and appraisals of their application in society within international and multi-disciplinary contexts as agents of change. The ability of geospatial data to transform knowledge in contemporary and future societies forms an important theme running throughout the entire volume. Contributors reflect on the changing role of geospatial technologies in society and highlight new applications that represent transformative directions in society and point towards new horizons. Furthermore, they encourage dialogue across disciplines to bring new theoretical perspectives on geospatial technologies, from neurology to heritage studies. The international contributions from leading scholars and influential practitioners that constitute the Handbook provide a wealth of critical examples of these technologies as agents of change in societies around the globe. The book will appeal to advanced undergraduates and practitioners interested or engaged in their application worldwide.