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Spatial Information Science for Natural Resource Management
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.
Geospatial Technology for Landscape and Environmental Management
Geospatial technology is a combination of state-of-the-art remote sensing and technology for geographic information systems (GIS) and global navigation satellite systems (GNSS) for the mapping and monitoring of landscapes and environment. The main thrust of using geospatial technology is to understand the causes, mechanisms, and consequences of spatial heterogeneity, while its ultimate objective is to provide a scientific basis for developing and maintaining ecologically, economically, and socially sustainable landscapes. This book presents new research on the interdisciplinary applications of geospatial technology for identification, assessment, monitoring, and modelling issues related to l...
Sustainable Development Practices Using Geoinformatics
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 ...
Sustainable Development Practices Using Geoinformatics
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 ...
Object Detection with Deep Learning Models
Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection
Recent Technologies for Disaster Management and Risk Reduction
This book explains to governments, decision makers and disaster professionals the potential uses of recent technologies for disaster monitoring and risk reduction based on the knowledge and experience of prominent experts/researchers in the relevant fields. It discusses the application of recent technological developments for emerging disaster risks in today's societies and deliberates on the various aspects of disaster risk reduction strategies, especially through sustainable community resilience and responses. This book consists of selected invited papers on disaster management, which focus on community resilience and responses towards disaster risk reduction based on experiences, and closely examines the coordinated research activities involving all stakeholders, especially the communities at risk. Many regions of the world and aspects of disaster risk and its management are covered. It is described how recent technologies will support better understanding and action to reduce the number and impact of disasters in future. The principal audience for this book is researchers, urban planners, policy makers, as well as students.
River Conservation and Water Resource Management
This book presents an up-to-date, systematic and scientific analysis of water resource problems in India and suggests measures to overcome them through effective water management. In addition, the book provides an overview of how changes in legislation, policies, institutional responsibilities, science, technology, practical techniques and public perception have influenced the ways of river management over the past years. River water conservation is a planned activity connected with various habitat features and outlines how to conserve all river water spread across the world. The restoration and conservation of river water must be of the highest priority for sustaining humanity and ecology f...
Remote Sensing and Geographic Information Systems for Policy Decision Support
The management of data to understand complex and interwoven processes of sustainable development has been a great challenge for researchers, planners, and decision makers. Remote sensing and GIS-based policy decision support systems not only help them to solve spatially related environmental and socio-economic issues; they also provide a powerful tool for integrating spatial and non-spatial datasets with analytical and spatial models and knowledge domains. Recent advances in the modern spatial tools of remote sensing and GIS combined with advanced computation techniques have enhanced the efficiency and capabilities of policy development. This book expands the scientific knowledge base in var...
