This book focuses on the sophisticated uses of geospatial big data analytics techniques to solve practical earth observation and urban society problems using satellite images. This book will cover a wide range of topics related to geospatial artificial intelligence and Sustainable Development Goals, including future perspectives on the field as well as integrating Artificial Intelligence and Machine Learning algorithms with geospatial data. The book will help both experienced researchers and students understand a range of geospatial data engineering applications that demonstrate how geographic information systems and machine learning algorithms are applied to spatial big data to solve real-world problems. The goals of this book are to draw attention to the distinctive qualities of geospatial data, show why diverse methods and approaches are necessary in order to extract new insights from unprocessed geospatial data, and showcase a few cutting-edge geospatial data science techniques along with their applications to diverse geoscience issues.
Plants experience stress from environmental changes. This book is a comprehensive reference on plant responses to both biotic and abiotic stress, consolidating topics that other books cover only in isolation. It details this essential aspect of plant life and adaptation.
