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'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives'is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact of climate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices. One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment. Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use. The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability. Overall,'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives'is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet.

This book is essential for anyone interested in understanding and implementing sustainable resource development strategies, as it covers the crucial first stage of assessing resource availability and condition, along with the use of modern geospatial technologies such as remote sensing, GIS, and GPS for surveying, mapping, and monitoring various resources for global environmental protection and sustainable development. The first step in developing a sustainable resource strategy is assessing the availability and condition of resources. This involves evaluating baseline levels, identifying trends, and understanding their consequences. Mitigation policies are then developed based on this assessment. Modern geospatial technologies like Remote Sensing (RS), Geographic Information Systems (GIS), and Global Positioning Systems (GPS) offer powerful tools for surveying, mapping, and monitoring both renewable and nonrenewable resources. These technologies support global environmental protection, disaster management, and sustainable development by providing repetitive and global data. GPS provides accurate geographic coordinates, while GIS allows visualization, analysis, and decision-making through spatial data, enabling the study of complex environmental and natural resource challenges at various scales.

Disaster Management embarks on a comprehensive exploration of proactive approaches to confronting the ever-growing challenges posed by natural and man-made disasters. Drawing on a wealth of interdisciplinary research and practical expertise, this book delves into the core principles of disaster management, offering a roadmap for communities, governments and organizations to enhance their preparedness and mitigation strategies. From risk assessment and early warning systems, to community engagement and infrastructure resilience, each chapter provides actionable insights and case studies that illuminate the path towards building robust resilience frameworks. With a keen focus on adaptability and innovation, this book equips readers with the tools necessary to navigate the complexities of today's dynamic world, fostering a culture of preparedness that can mitigate the impact of disasters and safeguard lives and livelihoods.

This book offers a comprehensive overview of the latest research, technologies, and applications of health informatics to promote sustainability and address climate change. The book focuses on the complex and multi-faceted challenge induced by climate change — a challenge that requires a systems approach at the global, national, and local levels. It explores the ethical and social implications of health informatics and climate change solutions, including issues related to data privacy, equity, and access to healthcare. The book primarily fills the gap in the available literature on the subject by bringing together the concepts, theories, and practical experiences of specialists and professionals in one volume. In addition, examples of successful health informatics and climate change solutions from around the world are showcased, including innovative approaches to data collection, analysis, and dissemination. The book is an essential resource for researchers, practitioners, and policymakers in the fields of health informatics, sustainability, and climate change.The interconnected challenges of climate change and human health require a multidisciplinary and integrated approach that includes the use of health informatics tools and methods. By leveraging the power of informatics, we can develop innovative solutions to mitigate the impacts of climate change on human health and to build more resilient and sustainable communities.

This book explores the relationships between natural resources management, sustainable livelihoods, and integrated watershed management in the context of the mountainous region, especially in the northeastern region of India. The book also sheds light on the current state of regional issues, identifies gaps in the existing practices and proposes future policies for effective conservation and sustainable development.The environmental degradation in the northeastern region of India is basically attributed to the increasing biotic pressure on the fragile ecosystems in the absence of suitable investments and proper management practices to enhance and conserve the natural resources. Population growth and poverty on the one hand and the pressure of rising demand from wealth and consumerism on the other hand, have been exerting powerful pressure on the ecosystems. Natural resources planning and management and sustainable livelihoods through integrated watershed management is not just a technical challenge; it is also a social challenge. The book is a valuable resource for policymakers, researchers, practitioners and stakeholders involved in natural resource management, sustainable development and watershed management in the Himalayan region.

This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opportunities presented by these technologies and provides insights into future research directions.In order to address climate change and achieve the SDGs, it is crucial to understand the complex interplay between climate and environmental factors. The use of big data, AI, and data analytics can play a vital role in this effort by providing the means to collect, process, and analyze vast amounts of environmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs.

Overuse of natural resources results in environmental deterioration, lowering the effectiveness of important ecosystem services, such as the mitigation of floods and landslides. This leads to a greater risk of disaster and, in turn, natural hazards that can further deteriorate the environment. The deterioration of the capacity of the environment to meet social and ecological aims and demands is described as environmental degradation. This degradation and the concomitant reduction of ecosystems and their irreplaceable services (the benefits humans gain) are driving disaster risk. Changes to the environment can alter the frequency and intensity of risks, as well as our exposure and sensitivity to these hazards. Addressing these issues requires improvement of the capacity to perform short and medium-term operations in disaster management based on long-term environmental considerations. At the local level, minimizing environmental degradation and ecosystem loss involves awareness of the links between unsustainable development and poverty. Communities are often driven to ruin their natural environment as a short-term coping mechanism for dealing with immediate issues; for instance, surviving a bad harvest by selling wood. Strategies for decreasing poverty by investing in environment-sensitive development should therefore support initiatives to minimize disaster risk and build resilience. There are common aspects in successful policies throughout various regions at the policy level, which extends to controlling climate change. Tools such as integrated water resources and coastal zone management, the removal of environmentally harmful subsidies, especially on fossil fuels and/or carbon taxes, renewable energy, marine protected areas, and cross-boundary biodiversity conservation, are all examples of policies used in more than one region but customized to each context. This scoping study finds and assesses available materials that relate environmental challenges and management with catastrophes and risk reduction activities in the Asia-Pacific area. This volume's analysis relies on case studies, examples, and the results of questionnaires and interviews of practitioners and organizations operating in the environment, disaster, and development domains.

South Asia, harboring the complex Himalayan terrains, has over one-fifth of the world's population and is recognized as the most hazard-prone region of the world. The exponential increase in population with the consequent pressure on natural resources and continued high rates of poverty and food insecurity also makes this region the most vulnerable region to hazards in the world as far as the impacts of climate change are concerned. Over the last century, the climatic trends in South-Asia have been observed to be characterized by increasing air temperatures and an increasing trend in the intensity and frequency of extreme events. IPCC (2014) has reported that the Himalayan highlands shall face significant warming over the next century. The increasing frequency of natural hazards due to the impacts of climate change in the Himalayas calls for efficient management and policymaking in these regions, which can only be implemented by the local governments through an established science-based robust action plan. This edited volume focuses on the management of natural hazards using innovative techniques of spatial information sciences and satellite remote sensing. It contains chapters from eminent researchers and experts in the field of hazard management, remote sensing, and GIS. The primary focus of this book is to replenish the gap in the available literature on the subject by bringing the concepts, theories, and practical experiences of the specialists and professionals in this field together in one volume to help students, researchers, and policymakers to address issues concerning management and policy implications of natural hazards in the complex Himalayan region.

Water is one of the most critical resources of nature that is necessary for sustaining life for all living things. This volume discusses in detail a selection of geospatial approaches, tools, and techniques for understanding the root causes behind the degradation of our water resources. Satellite remote sensing provides essential data for mapping water resources, hydrology flux measurement, monitoring drought, and flood inundation. With an abundance of informative case studies, this volume discusses the use of the satellite remote sensing and GIS-based systems for managing urban storm water; for flood and soil erosion management; for mapping groundwater zones; for crop production, including measuring soil moisture and aridity; for gauging the impact of climate change; for evaluating glacier change dynamics; for assessing the impact of urban growth on water resources; for measuring the degradation of rivers; and more.

This is a comprehensive resource that integrates the application of innovative remote sensing techniques and geospatial tools in modeling Earth systems for environmental management beyond customary digitization and mapping practices. It identifies the most suitable approaches for a specific environmental problem, emphasizes the importance of physically based modeling, their uncertainty analysis, advantages, and disadvantages. The case studies on the Himalayas with a complex topography call for innovation in geospatial techniques to find solutions for various environmental problems. Features: Presents innovative geospatial methods in environmental modeling of Earth systems. Includes case studies from South Asia and discusses different processes and outcomes using spatially explicit models. Explains contemporary environmental problems through the analysis of various information layers. Provides good practices for developing countries to help manage environmental issues using low-cost geospatial approaches. Integrates geospatial modeling with policy and analysis its direct implication in decision making. Using a systems'approach analysis, Geospatial Modeling for Environmental Management: Case Studies from South Asia shall serve environmental managers, students, researchers, and policymakers.

Geographic Information Science for Land Resource Management is a comprehensive book focusing on managing land resources using innovative techniques of spatial information sciences and satellite remote sensing. The enormous stress on the land resources over the years due to anthropogenic activities for commercialization and livelihood needs has increased manifold. The only solution to this problem lies in stakeholder awareness, which can only be attained through scientific means. The awareness is the basis of the sustainable development concept, which involves optimal management of natural resources, subject to the availability of reliable, accurate, and timely information from the global to local scales. GIScience consists of satellite remote sensing (RS), Geographical Information System (GIS), and Global Positioning System (GPS) technology that is nowadays a backbone of environmental protection, natural resource management, and sustainable development and planning. Being a powerful and proficient tool for mapping, monitoring, modeling, and managing natural resources can help understand the earth surface and its dynamics at different observational scales. Through the spatial understanding of land resources, policymakers can make prudent decisions to restore and conserve critically endangered resources, such as water bodies, lakes, rivers, air, forests, wildlife, biodiversity, etc. This innovative new volume contains chapters from eminent researchers and experts. The primary focus of this book is to replenish the gap in the available literature on the subject by bringing the concepts, theories, and experiences of the specialists and professionals in this field jointly. The editors have worked hard to get the best literature in this field in a book form to help the students, researchers, and policymakers develop a complete understanding of the land system vulnerabilities and solutions.

This exciting new volume will provide a comprehensive overview of the applications of geoinformatics technology for engineers, scientists, and students to become more productive, more aware, and more responsive to global climate change issues and how to manage sustainable development of Earth's resources. Over the last few years, the stress on natural resources has increased enormously due to anthropogenic activities especially through urbanization and industrialization processes. Sustainable development while protecting the Earth's environment involves the best possible management of natural resources, subject to the availability of reliable, accurate and timely information on regional and global scales. There is an increasing demand for an interdisciplinary approach and sound knowledge on each specific resource, as well as on the ecological and socio-economic perspectives related to their use. Geoinformatics, including Remote Sensing (RS), Geographical Information System (GIS), and Global Positioning System (GPS), is a groundbreaking and advanced technology for acquiring information required for natural resource management and addressing the concerns related to sustainable development. It offers a powerful and proficient tool for mapping, monitoring, modeling, and management of natural resources. There is, however, a lack of studies in understanding the core science and research elements of geoinformatics, as well as larger issues of scaling to use geoinformatics in sustainable development and management practices of natural resources. There is also a fundamental gap between the theoretical concepts and the operational use of these advance techniques. Sustainable Development Practices Using Geoinformatics, written by well-known academicians, experts and researchers provides answers to these problems, offering the engineer, scientist, or student the most thorough, comprehensive, and practical coverage of this subject available today, a must-have for any library.

Stress on natural resources has recently increased due to commercialization and the need to provide livelihoods for locals. Because they are such core parts of everyday life, ensuring sustainability in resource management is of paramount importance. Only by integrating the tools of spatial information science can an effective course for preserving and protecting natural resources be created. Spatial Information Science for Natural Resource Management is a pivotal reference source that explores coordinated approaches to sustainable development and management of natural resources to keep a balance of the environment, ecology, and human livelihood. Featuring coverage on a wide range of topics including crop yield estimation, ecosystem services, and land information systems, this book covers interdisciplinary techniques in monitoring and managing natural resources. This publication is ideally designed for urban planners, environmentalists, policymakers, ecologists, researchers, academicians, students, and professionals in the fields of remote sensing, civil engineering, social science, computer science, and information technology.