Artificial Intelligence In Remote Sensing For Disaster Management
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Artificial Intelligence In Remote Sensing For Disaster Management
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Author : Neelam Dahiya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-05-28
Artificial Intelligence In Remote Sensing For Disaster Management written by Neelam Dahiya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications.
Artificial Intelligence In Remote Sensing For Disaster Management
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Author : Neelam Dahiya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-09
Artificial Intelligence In Remote Sensing For Disaster Management written by Neelam Dahiya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications.
Internet Of Things And Ai For Natural Disaster Management And Prediction
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-03-07
Internet Of Things And Ai For Natural Disaster Management And Prediction written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-07 with Nature categories.
In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.
Utilizing Ai And Machine Learning For Natural Disaster Management
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-04-29
Utilizing Ai And Machine Learning For Natural Disaster Management written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Nature categories.
Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.
Ai And Iot For Proactive Disaster Management
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Author : Ouaissa, Mariyam
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Ai And Iot For Proactive Disaster Management written by Ouaissa, Mariyam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Computers categories.
In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.
Artificial Intelligence Driven Models For Environmental Management
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Author : Shrikaant Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2025-08-19
Artificial Intelligence Driven Models For Environmental Management written by Shrikaant Kulkarni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Science categories.
Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet's natural resources. The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals. Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include: Tools and methods for monitoring and predicting environmental pollutants faster and more accurately AI technology for the protection of water supplies from contamination to produce healthier foods Use of AI for the evaluation of the impacts of environmental pollution on human health AI and waste management technologies for sustainable agriculture and soil management The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.
Generative Artificial Intelligence In Agriculture Education And Business
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-16
Generative Artificial Intelligence In Agriculture Education And Business written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
The rapid digital development of the recent era has revolutionized the overall network of business and management as well as other sectors. The book discusses how emerging technologies, artificial intelligence (AI), blockchain, big data analytics, cloud computing and the Internet of Things (IoT), have a high level of impact on different industries. With more and more businesses turning towards these techs, it is extremely important to really understanding their relation and use in order to remain at the cutting edge of technology while emerging as an innovator. Chapter 1 is a detailed introduction to the digital transformation, driven by AI, blockchain, IoT and other technologies are changing Business & Management processes. This paves the way for diving deeper into targeted topics where these innovations are starting to have a big influence. In chapter two we delve into the increasing popularity of generative AI, ChatGPT takes center stage and how it is impacting range of industries. In this research, we review generative AI applications and opportunities as well as challenges and the outlook, for future development. Also touched on in the book are the customer front-exporting portions of digital renovation. Chapter 3 - Overall Vision: How AI, Machine Learning and related technologies help in higher customer satisfaction and loyalty right into the services industry to build exceptional service quality. In chapter four, we look at education-providing a SWOT analysis for ChatGPT in the transformation of pedagogical practices and research. We find that our higher-level theory is not so easily translated back into practice here - illustrating both the promise and problems that AI holds within a university setting. There are various areas in which we heavily rely on spatial analysis and remote sensing, and chapter five illustrates the new means by which AI and ChatGPT can be used to improve data interpretation and analysis for these fields. Chapter six shifts the focus to agriculture, highlighting how AI, machine learning and ChatGPT come into play in smart farming and how it might pave a way for enhanced productivity and sustainability within the agricultural landscape. Taken together, these chapters offer a deep dive into how AI is driving hope at sectors and provides insightful knowledge about futurity of business, education, and industry.
Artificial Intelligence For Sustainable Development
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Author : Anandakumar Haldorai
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Artificial Intelligence For Sustainable Development written by Anandakumar Haldorai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Technology & Engineering categories.
This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.
Prospects Of Artificial Intelligence In The Environment
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Author : Ajitanshu Vedrtnam
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Prospects Of Artificial Intelligence In The Environment written by Ajitanshu Vedrtnam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened.
Predicting Natural Disasters With Ai And Machine Learning
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-02-16
Predicting Natural Disasters With Ai And Machine Learning written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Nature categories.
In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.