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According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificialintelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences.
According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificialintelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences.
The book provides an understanding about the disaster impacts, vulnerability assessment, adaptation pathways and mitigation for strengthening the resilience of the society to various hazards. Multi- dimensionality of disasters is depicted by various approaches and effective modelling. The book is a synthesis of research papers presented at online International Conference on the theme organized by the Centre for Disaster management, Department of Geography, Jamia Millia Islamia in collaboration with National Institute of Disaster Management and Regional Remote Sensing Centre (North), Indian Space Research Organization (ISRO), New Delhi, India during 02-03 March, 2021. The book has been organized into four parts spreading over 28 chapters. Part I deals with the impact assessment of various disasters. Part II examined ecological and socio-economic vulnerability arising out of the disasters. Part III identifies possible solutions for lessening vulnerability to disasters and effective adaptation strategies. Finally, part IV provides an insight for making the societies resilient to the disasters. The main focus of each chapter was laid implicitly on policy concerns focusing on disaster reduction at spatial scales. The book will immensely be helpful for the researchers, academicians and scientific communities for discussing set of questions necessary for future research. It will attract the attention of functionaries, practitioners, policy makers, training institutes and stakeholders for making appropriate methods of communicating risks and adaptation strategies for disaster management.
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