This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption. The book provides a clear overview of how machine learning can be used to analyze remote sensing data to monitor the key parameters, below, at, and above the surface. It not only offers insights into the approaches, but also allows readers to learn about the challenges and issues associated with the digital mapping of these parameters and to gain a better understanding of the selection of data to represent soil-landscape relationships as well as the complex and interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network of satellite-based Earth observations to provide solutions toward smart farming and smart land management.
This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption. The book provides a clear overview of how machine learning can be used to analyze remote sensing data to monitor the key parameters, below, at, and above the surface. It not only offers insights into the approaches, but also allows readers to learn about the challenges and issues associated with the digital mapping of these parameters and to gain a better understanding of the selection of data to represent soil-landscape relationships as well as the complex and interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network of satellite-based Earth observations to provide solutions toward smart farming and smart land management.
Cellular, Molecular and Environmental Contribution in Cardiac Remodeling: From Lab Bench to Clinical Perspective consolidates the most recent research advances on cellular, molecular, biochemical, and heterogeneous factors contributing to the physiological and pathological cardiac remodeling, elucidating their mechanisms of action and the clinical outcomes of cardiac remodeling. It extensively covers the factors determining cardiac remodeling, including cardiomyocyte regeneration, cardiac stem cells and their therapeutic potential, cardiac resident pericytes, the role of natural bioactive compounds in cardiac remodeling, chronic cardiac adaptations to exercise and more. This book provides basic science researchers and clinical investigators in cardiology with a current and comprehensive resource on molecular mechanisms and contributing factors to cardiac remodeling, and its effects and impacts on heart health. New research areas for the future, aimed at preventing, limiting, and reversing bad remodeling, are also discussed. Provides a concise summary of recent developments in cardiac remodeling research, combining novel information and the latest data published in this field Discusses not only cellular and molecular factors impacting cardiac remodeling, but also environmental contributions such as lifestyle and exercise Identifies areas for future research and potential novel strategies for translating basic research knowledge to applications in patients
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