Jung-Sup Um - Böcker

Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: An Interdisciplinary Approach to Risk Reduction presents a comprehensive examination of innovative geospatial methods utilized to address the challenges posed by climate change across various sectors. The book encompasses a wide array of topics, including the application of remote sensing in agriculture, urban climate change mitigation, and the evaluation of land use effects on surface temperatures. It highlights the integration of advanced technologies such as machine learning and satellite imagery to enhance drought risk mapping, deforestation detection, and flood prediction, providing valuable insights into environmental sustainability. Moreover, the text emphasizes participatory approaches and the role of local communities in climate resilience. By synthesizing interdisciplinary perspectives, the book underscores the importance of collaborative efforts in developing effective mitigation and adaptation strategies. Ultimately, this work serves as a vital resource for researchers and practitioners committed to leveraging geospatial techniques for effective climate change risk reduction and environmental management.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Emphasizes an interdisciplinary approach to climate change impacts, risk reduction, and mitigation strategiesHighlights the role of geospatial data, methods, and tools in monitoring climate change with advanced techniques in remote sensing and spatial analysisExamines practical applications of geospatial techniques and machine learning techniques in risk management

Air Quality Monitoring and Management Using Sensors, Volume Nine offers a comprehensive overview of the latest advancements in air pollution monitoring technologies. With contributions from leading experts, the book discusses sensor innovations, data analysis, and practical applications. It addresses the needs and challenges of air pollution monitoring and management, highlighting recent progress in calibration and validation of sensors, and the use of portable and wearable devices for personal exposure monitoring and indoor air quality assessment.Sections explore remote sensing techniques, smart sensor networks integration, IoT applications, and advanced data analysis tools for tackling air pollution. It covers sensor applications for detecting pollutants such as nitrogen oxide, carbon monoxide, and particulate matter. Additionally, it examines emission control technologies and the development of detection systems for various pollutants, including sulfur oxide and nitrogen oxide. Future trends and successful case studies showcase the implementation of these sensors in environmental monitoring and remediation efforts.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Provides a thorough exploration of air pollution sensor innovations, monitoring technologies, and real-world applicationsExamines the latest advancements in sensor technologies and data analysis methodsOffers readers insight into cutting-edge tools and techniques for accurate and efficient air quality assessmentPresents a multidisciplinary understanding of air pollution dynamics, including environmental science, atmospheric science, chemistry, and engineering

Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: Advances and Applications, Volume Ten delves into the novel methods and applications of remote sensing in climate-change studies. The book begins by exploring climate observation and monitoring, consolidating remote sensing data systems for environmental mapping, and tracking air pollution using remote sensing data. The volume covers the use of remote sensing data for monitoring and predicting climate change, characterizing land changes with climate time series data, and tracking climate change and tropical cyclones with geospatial techniques.It also discusses the system dynamics model of economic development and climate change, as well as climate change mitigation, adaptation, and future directions. Additionally, it addresses climate modeling, validation, uncertainty mapping, and the application of remote sensing data in government climate policies and sustainable risk reduction approaches for global climate change issues.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Integrates the latest advancements in sensor technologies and data analysis methods, offering readers insights into the management of climate risks and hazards as well as adaptation strategiesProvides an interdisciplinary understanding of climate change challenges and solutions by gathering high-quality contributions from scientific, social, economic, political, and cultural perspectivesExamines potential responses to climate change hazards and how to implement strategies in various sectors, considering vulnerability and exposure factors and addressing the social, economic, political, and cultural dimensions of climate change

Blockchain is new-age technology used to track every transaction using cryptocurrency across servers linked in a peer-to-peer network, enabling transactions to be secure, transparent and reliable. Retaining an efficient, secure and patient-centric healthcare industry has never been so important, especially due to the damaging effects of the Covid-19 pandemic. The applicability of Blockchain in the healthcare domain can be seen as a remarkable opportunity for researchers and scientists to solve real-world problems.This book focuses on the fundamentals of Blockchain technology along with the methods of its integration with the healthcare industry. It also provides an enhanced understanding of Blockchain technology, AI and IoT across the various application areas of the healthcare industry. Furthermore, throughout the book, areas of relevant applications, such as patient data privacy protection, pharmaceutical supply chains and genomics are discussed.

Different topics are discussed - from the basics of TeleMedicine, to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology.

Different topics are discussed - from the basics of TeleMedicine, to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology.

This edited collection provides a comprehensive exploration of cutting-edge ideas, approaches, simulations, evaluations of risk, and systems that enhance the practicality of current geospatial technologies for reducing hazard risks.

This edited collection provides a comprehensive exploration of cutting-edge ideas, approaches, simulations, evaluations of risk, and systems that enhance the practicality of current geospatial technologies for reducing hazard risks. The various sections within this book delve into subjects such as the foundational principles of Earth Observation Systems (EOS) and geospatial methodologies. Additionally, the text serves as an advisory resource on the collaborative use of satellite-derived data and artificial intelligence to track and alleviate geo-environmental threats. The volume imparts extensive understanding regarding geo-environmental dangers and their analysis via EOS along with geospatial strategies. It encompasses key hazard-related themes including coastal degradation, predisposition to landslides, mapping vegetation coverages, tropical storm patterns, soil depletion due to erosion processes, vulnerability to rapid or extended flooding events, variations in oceansurface temperatures alongside chlorophyll-a levels; it also addresses assessments related to groundwater reserves and quality measures as well as sustainable management practices for watersheds that support community livelihoods—all through leveraging AI-integrated geospatial tools in conjunction with earth observation technologies. Furthermore, this work engages in discourse about systems designed for mitigating these ecological challenges sustainably. Scholars engaged in research activities; educational professionals; those involved in landscape design; engineers working at ground level; individuals responsible for policy-making—all who are concerned with geo-environmental hazards or associated domains—will find valuable insights within these pages.

This book incorporates the in-depth discussion on Open Access (OA) and Sustainable Development Goals (SDGs) set up by the United Nations and how OA expedites the progress toward the United Nations SDGs. Primary target audience are the scholars, policymakers, practitioners, and supporters, offering valuable insights into using OA to solve global problems.The book starts with basic understanding, explaining the basics of OA, how it connects to the SDGs, and showing examples of successful OA projects. The book highlights the role of open data in fostering innovation for sustainability, including specific instances where openly accessible datasets have stimulated innovation for sustainable development. The book looks at how OA lines up with specific SDGs like quality education, good health, infrastructure, etc.  It also looks at the rules and plans needed to get more people using OA and predicts where OA is headed in the future for sustainable development. It also discusses the impact of open educational resources in democratizing learning globally, as well as the role of OA medical research in advancing health equity. The book also investigates how collaborative research platforms contribute to building green technology and bridging gender gaps in knowledge dissemination. Additionally, it discusses how free information exchange enables sustainable agriculture practices and how community-based participatory research archives empower local communities. Book also discusses the role of shared environmental studies and accessibility to legal and policy frameworks in promoting justice and climate action.Each chapter not only gives ideas but also offers practical instructions for using OA to share knowledge, work together across different fields, and make decisions based on facts that things are really important for reaching SDGs. Successful case studies are also presented to understand the benefits and drawback of OA especially by considering the SDGs. The book acknowledges the challenges of OA implementation.

This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction’ is an innovator attempt that aims to explore all the phenomenon. Coastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas.

This book introduces the concept of using drones as a teaching tool to explore the fundamental principles, technology and applications of Cyber-Physical Systems (CPS).A short introduction sets CPS in the context of the 4th industrial revolution, and describes various CPS technologies including self-driving cars, commercial intelligent drones and mobile robots, in which artificial intelligence routinely supports smarter decision-making. The core of the book then focuses on commercially available drones, the only available system offering the advantage of cyber-physical bridging through 3D autonomous dynamic flying in classroom conditions. Chapters describe drone technology, including location sensors and imaging systems. CPS theory is explained through typical drone flying procedures and do-it-yourself (DIY) aerial photography in which communication between sensors, actuators and controllers occurs through cyber-physical bi-directional bridging.This book opens new possibilities in fostering 4th industrial revolution literacy, introducing relevant examples from readily available equipment, making core elements of cyber-physical bridging accessible. It is aimed primarily at those students who have an interest in CPS, drones and those from disciplines that are concerned with spatial information.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France.