Autorentext

Dr. Varun Narayan Mishra is currently working as an Assistant Professor at Amity University, Noida, India. He completed doctorate from Indian Institute of Technology (BHU), Varanasi and M.Tech. in Remote Sensing from Birla Institute of Technology, Mesra, Ranchi, after completing M.Sc. degree in Physics. He is an experienced researcher with a demonstrated history of teaching in the field of remote sensing & GIS, spatial data analysis and modelling, digital image processing, AI & ML. His main research interests are Radar remote sensing, SAR interferometry, land change simulation & modelling, landslides and flood susceptibility modelling, vulnerability, and risk assessment. He has published several research papers in various reputed international peer reviewed journals. He also authored many edited books, reference books and book chapters with reputed publishers.
Dr. Maya Kumari is currently working as Assistant Professor at Amity University Uttar Pradesh. She has done her Doctoral degree from Guru Gobind Singh Indraprastha University, New Delhi, and M.Tech. in Remote Sensing technology from Birla Institute of Technology, Mesra, Ranchi. She also has done master's degree in environmental science from Banaras Hindu University, Varanasi, India. She has 13 years of teaching and research experience in GIS and Remote Sensing. Her specialization is the theory and practice of global positioning and navigation system, digital image processing, application of Remote Sensing in Environment & natural resource management and spatial data modeling. She has published several research papers in national and international conferences/journals related to the field of Remote Sensing and GIS.
Dr. Manish Pandey is a research assistant professor at the University Center for Research & Development (UCRD) at Chandigarh University, India. His expertise lies in the fields of geomorphology and the application of artificial intelligence, remote sensing & Geographic Information Systems in various domains of physical geography. He completed his undergraduate and post-graduate studies in Geography at the University of Allahabad, Uttar Pradesh. During his academic journey, Dr. Pandey received prestigious research grants as a Junior and Senior Research Fellow (JRF/SRF) from the Council of Scientific and Industrial Research (CSIR), which supported his doctoral research in fluvial geomorphology. Dr. Manish Pandey's research focus revolves around harnessing artificial intelligence, machine learning, and deep learning algorithms to model the behavior of earth surface processes, such as flooding, landslides, groundwater potential, and landscape evolution. He has published several peer-reviewed articles in high-impact journals, book chapters, and 2 edited books.
Dr. Akshay Kumar works as a Research Associate at the Environmental Science and Engineering Department, Indian Institute of Technology (IIT), Bombay. He graduated with an M.Sc in Geology from Ranchi University, Ranchi. He did his M.Tech. and Ph.D in Remote Sensing from Birla Institute of Technology, Mesra Ranchi. Before joining IIT Bombay in 2021, he worked as a Research Associate (Remote Sensing and GIS) for MPKV, Rahuri, supporting the climate-smart agriculture project. He has produced high-quality knowledge research reports and publications for addressing complex environmental issues to diverse audiences. He has more than ten publications in reputed national and international peer-reviewed journals, besides having six book chapters to his credit. His research interests include various hazards associated with coal mining activities, such as air pollution exposure modelling, land degradation, coal fire, topographic change, vulnerability and risk assessment, Spatial Analysis and Modelling, water quality assessment, groundwater potential, and pollution modelling.

Klappentext

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.

Inhalt

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