Advanced Urban Informatics : Practices and Challenges from the Perspectives of SDGs

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Advanced Urban Informatics : Practices and Challenges from the Perspectives of SDGs

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  • 製本 Hardcover:ハードカバー版/ページ数 440 p.
  • 言語 ENG
  • 商品コード 9781032955063

Full Description

Urban informatics is an interdisciplinary approach to understanding, managing, and designing cities using methods based on advanced geospatial methods, computer-based information technologies and other emerging tools. This book provides understanding of developments in geospatial and computational techniques, focusing on the growth/pattern of cities and its implications for the development of smart and sustainable cities from the SDGs perspectives. It covers sustainable development, land use patterns, urban growth analysis, environmental impacts, infrastructure management, and policy. Focuses on interdisciplinary approach using geospatial data, GIS, and advanced computational methods to address the challenges in urban informatics. Addresses the problems in implementing smart city initiatives, designing more adaptive, responsive, and resilient cities Offers insightful dimensions to better understand the spatial urban pattern and future projection of for suitable planning and management Discusses theoretical and applied research practices along with background information on the use of advanced technologies in the domain of urban studies Includes practical examples, case studies, and methodologies This book is aimed at graduate students and researchers in environmental engineering and remote sensing.

Contents

1.Introduction To Urban Information System 2. Advances In Urban Informatics For Sustainable Cities And Societies 3. Sustainable Development And Management Of Smart Cities 4. Automatic Extraction Of Urban Features Using Optical And SAR Datasets 5. Analysis Of Urban Land Use Pattern Using Time Series Geospatial Datasets In Mega Cities Of USA 6. Assessment Of Urban Land Use Change Using Multi-Temporal Remote Sensing Images And Artificial Intelligence Methods 7. An Integrated Approach Of Remote Sensing And Geospatial Analysis For Modeling And Predicting Urban Growth Scenarios 8. Geospatial Big Data Analysis Of Spatio-Temporal Urban Growth Using Machine Learning Based Methods 9. Projection Of Future Urban Sprawl And Its Impacts On The Urban Environment Using Geospatial AI Models 10. Land Use Scenario Simulation Of Urban Areas Using Remote Sensing, GIS And Machine Learning Based Land Change Models 11. Urban Growth Analysis On Regional Scale Using Multi-Date Satellite Images And Machine Learning Methods 12. Urbanization Induced Impacts On Crop Yield And Food Security 13. Estimation Of Urban Heat Island Vulnerability Using Advanced Geospatial Tools 14. Assessment Of Human Health Risk Associated With Urban Heat By Using Remote Sensing Images And Socioeconomic Data 15. Spatio-Temporal Analysis Of Air Pollution Distribution In The Urban Areas: Case Study Of Japan 16. Evaluation Of Urban Flooding And Resilience Using GIS Based Multi-Criteria Analysis 17. Detection And Characterization Of Urban Areas Using LIDAR Data 18. 3D Modeling Of The Urban Infrastructure Using Stereo Imaging Techniques 19. Groundwater Potential Modeling Using Remote Sensing, GIS, And Artificial Intelligence Methods 20. Integrated Remote Sensing, GIS, And Artificial Intelligence Methods For Urban Transportation Systems 21. Dynamic AI Modelling For Urban Growth Varieties And Transport 22. Urban Utility Services And Facilities Management For The Development Of Smart City 23. Site Suitability Analysis For The Development Of Urban Energy Systems 24. Sustainable Policies And Practices In Urban Governance: Case Study From UK 25. Prospects And Challenges In Urban Informatics For Sustainability

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