Titlebook: Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research; For Sustainable Deve Gaurav Tripathi,Achala Shakya,Pravee

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Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research978-981-97-1685-2Series ISSN 2198-3542 Series E-ISSN 2198-3550

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Gaurav Tripathi,Achala Shakya,Praveen Kumar RaiHighlights practical applications of big data, AI, and data analytics in climate change research.Offers a futuristic perspective on the potential of big data, AI, and data analytics.Takes an interdisc

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https://doi.org/10.1007/978-981-97-1685-2Climate Change; Sustainability; Global Challenges; Data Analysis; Information Technology; Risk Assessment

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978-981-97-1687-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Book 2024Development 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

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2198-3542 ntial of big data, AI, and data analytics.Takes an interdisc.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, inc