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    1. Naturvetenskap och teknik
    2. Geovetenskap
    3. Geovetenskap
    4. Meteorologi och klimatologi

    GeoAI-Driven Earth Observation for Sustainable Development

    Contemporary Advances and Emerging Opportunities Across Scales

    AvAchala Shakya,Gaurav Tripathi

    Häftad, Engelska, 2026

    Del i serien Earth Observation

    1 747 kr

    Kommande

    Beskrivning

    GeoAI-Driven Earth Observation for Sustainable Development: Contemporary Advances and Emerging Opportunities Across Scales presents a comprehensive overview of how Geographic Artificial Intelligence (GeoAI) is transforming Earth observation technologies to support the achievement of the United Nations Sustainable Development Goals (SDGs).

    The book begins by outlining the evolution of Earth observation and the integration of machine learning and deep learning techniques that enhance data analysis capabilities. It addresses the challenges and ethical considerations involved in deploying GeoAI, emphasizing the importance of open-source tools, cloud-edge intelligence, and reproducibility in advancing the field. The text explores a wide range of GeoAI applications tailored to specific SDGs, including precision agriculture for food security, urban resilience, disaster risk reduction, forest and biodiversity conservation, and water resource management. It also highlights innovations in air quality mapping, clean energy monitoring, health and well-being, inclusive education, gender equality, sustainable economic growth, and infrastructure development. Additionally, the book discusses policy and governance frameworks that enable the effective use of GeoAI for sustainable development, alongside integrated scenario modeling to bridge science and technology in land-use and cover change. Further, it examines emerging GeoAI applications in groundwater quality, marine and coastal ecosystems, and regional security in the context of climate change.

    This multidisciplinary volume equips researchers and practitioners with the knowledge and tools to harness GeoAI for addressing complex environmental and societal challenges.

    • Provides readers an understanding on how GeoAI can drive sustainable development
    • Highlights GeoAI-enabled policy and governance frameworks for international cooperation in harnessing GeoAI for sustainable development
    • Showcases the future of GeoAI in Earth Observation from local to global perspectives, offering feasible solutions to critical environmental and social issues

    Produktinformation

    • Utgivningsdatum:2026-11-10
    • Mått:152 x 229 x undefined mm
    • Format:Häftad
    • Språk:Engelska
    • Serie:Earth Observation
    • Antal sidor:350
    • Förlag:Elsevier Science
    • ISBN:9780443444289

    Utforska kategorier

    • Meteorologi och klimatologi inom Naturvetenskap och teknik
    • Geografi inom Naturvetenskap och teknik
    • Miljöteknik inom Naturvetenskap och teknik

    Mer om författaren

    Dr. Achala Shakya is an Assistant Professor at the Department of Computer Science and Engineering, School of Engineering and Applied Sciences, SRM University, Amaravati, Andhra Pradesh. Before that, she was associated with the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India, and the Computer Science and Engineering department at Sharda University, Greater Noida (U.P.), India. She was awarded a PhD from the Computer Engineering Department at the National Institute of Technology, Kurukshetra. She was also associated with the NASA-ISRO Synthetic Aperture Radar Mission (NISAR) project under the project entitled “Fusion of SAR and optical data for advanced LULC classification”. She works in Image Fusion and Segmentation, Optical, Radar, and Hyperspectral Remote Sensing, Deep Learning, Machine Learning, Natural Language Processing, Information Retrieval, and Web Development.Dr. Gaurav Tripathi is a Post Doctoral Fellow at the Department of Civil Engineering, Indian Institute of Technology, Bombay. He earned his PhD in Geoinformatics from the Central University of Jharkhand. He studied Geo-Information Science and Earth Observation with specialization in Geo-Informatics from the International Institute for Geo-Information Science and Earth Observation (ITC), Netherlands, University of TWENTE, Indian Institute of Remote Sensing, Indian Space Research Organization (ISRO), Dehradun. He served as an Assistant Professor at the School of Agricultural and Environmental Sciences, Shobhit Institute of Engineering and Technology, Meerut, India, and the Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur, India. His research interests include GeoAI, hydro geoinformatics, computational hydrology, disaster management, and microwave remote sensing.Dr. Ritambhara K. Upadhyay is an Assistant Professor at the Department of Geology, School of Earth and Environmental Sciences, Central University of Himachal Pradesh, Dharmshala. She holds a Ph.D. in Geology with a specialization in Hydrogeology and Geoinformatics from Panjab University. Her expertise covers geology, hydrology, remote sensing and GIS, isotope geochemistry, and disaster management. Dr. Upadhyay has diverse professional experience of more than 20 years that includes international teaching at Jimma University, Ethiopia, and corporate experience as General Manager in Environmental Management Services, where she handled projects related to EIA, groundwater approvals, and mining. She is an active researcher with numerous publications in national and international journals and book chapters.Dr. Dhanendra K Singh is currently working as an Assistant Professor at Sharda University, Greater Noida (U.P.), India. Prior to this, he worked as an Assistant Professor at the Suresh Gyan Vihar University, Jaipur, and Nirwan University, Jaipur. He earned his doctoral degree from the Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun, and HNBU, Garhwal. He also contributed to various projects at the Remote Sensing Applications Centre, Lucknow, GB Pant NIHE, Almora, and IISC Bengaluru. His areas of expertise are in Geoinformatics in snow/glacier studies, climate change, wetland dynamics, disaster management, mountain geography, and SDGs. He does have vast experience in glacier monitoring techniques on and off the field. He is associated with the Association of Polar Early Career Scientists (APECS) and the Indian Polar Research Network (IPRN) as a council member.Prof. Mahesh Pal is currently working as a Professor in the Department of Civil Engineering, National Institute of Technology, Kurukshetra, India. He joined NIT Kurukshetra in 1994 and proceeded to doctoral studies under the Commonwealth scholarship scheme in 1999. He was awarded a Ph.D. from the University of Nottingham, Nottingham, U.K., in 2002. He has published extensively on land-cover classification, feature selection, and application of artificial intelligence techniques in various civil engineering applications. He was also awarded Commonwealth and Fulbright fellowships in 2008 and 2012, respectively, for further studies on hyperspectral remote sensing in the UK and the US. He is the editor of the International Journal of Remote Sensing and on the editorial board of the Remote Sensing Letters, an international journal, and a reviewer of several international journals.Prof. Arvind Chandra Pandey received the Ph.D. degree in geology from the Department of Geology, University of Delhi, New Delhi, India, in 2001. He is currently a Professor with the Department of Geoinformatics, Central University of Jharkhand, Ranchi, India. He has been working in diverse application areas of Geoinformatics, viz, water resources, glaciology, natural hazards, urban environment, and forestry. He has completed several projects as a PI and a co-PI from the Indian Space Research Organization, Central Ground Water Board, Department of Science and Technology, and Ministry of Environment, Forest and Climate Change on aspects of Himalayan glacier study, Kosi flood hazards, groundwater targeting, national drinking water mission, arsenic contamination, national urban information system, wasteland mapping, forest fire forecasting, and desertification. Prof. Pandey was a recipient of the National Aeronautics and Space Administration-SERVIR Fellowship in 2013 to work on Himalayan Glaciers in Zanskar Valley, Jammu and Kashmir, India.

    Innehållsförteckning

    • Section 1: The Evolution of Earth Observation Technologies: Foundation, Innovation, and the Future Directions1. State-of-the-Art of GeoAI for SDGs: Current Trends and Future Prospects Across Space and Time Scales2. Introduction to GeoAI and Earth Observation3. Machine Learning and Deep Learning Techniques for Achieving the Sustainable Development Goals4. GeoAI: Revolutionizing Data Analysis in Earth Observation5. Challenges and Ethical Considerations6. The Future of GeoAI in Earth Observation: Anticipating Global Trends7. Open-Source Tools, Cloud-Edge Intelligence, and Reproducible GeoAI for Earth ObservationSection 2: GeoAI Applications for Achieving Sustainable Development Goals8. Precision Agriculture and Food Security for SDG 2 (Zero Hunger)9. Urban Resilience for SDG 11 (Building Sustainable Cities and Communities)10. Disaster Risk Reduction for SDG 13 (Climate Action)11. Forest and Biodiversity Conservation: Achieving SDG 15 with GeoAI (Life on Land)12. Water Resource Management for SDG 6: GeoAI Innovations GeoAI for Sustainable Air Quality Mapping, Modeling, and Planning in Support of SDG 314. GeoAI in Monitoring and Achieving Clean Energy for SDG 715. Advancing Health and Well-being: GeoAI Applications for SDG 3Social Dimensions of GeoAI: Advancing Inclusive Education (SDG 4) and Gender Equality (SDG 5)17. Sustainable Economic Growth and Infrastructure: GeoAI for SDG 8 and SDG 918. Policy and Governance: Enabling GeoAI for SDGs19. Integrated Scenario Modeling for Land-Use/Cover Change: Bridging Science and Technology20. AI Applications in Groundwater Quality and Resource Management21. GeoAI in the marine and coastal ecosystem22. GeoAI in the Regional security scenario: Emerging dynamics in the context of climate change