Geospatial Application of Coastal Hazards : Monitoring, Mitigation, Adaptation and Prediction
Language: English
Published by Springer, 2026
- Hardcover
- New

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Druck auf Anfrage Neuware - Printed after ordering - This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction is an innovator attempt that aims to explore all the phenomenon. Coastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas.…
Seller Inventory # 9783032200754
- Title
- Geospatial Application of Coastal Hazards : Monitoring, Mitigation, Adaptation and Prediction
- Author
- Jung-Sup Um
- Publisher
- Springer
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 303220075X
- ISBN 13
- 9783032200754
- Item weight
- 1,055 grams
- Dimensions
- 241x160x38 mm
This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction’ is an innovator attempt that aims to explore all the phenomenon. Coastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Anindita Nath is currently working in the Department of Geography at Bankim Sardar College (Affiliated to University of Calcutta), West Bengal, India, and a former researcher at Jadavpur University, Kolkata, India. Her specialization covers a broad range of geo-environmental issues, including integrated coastal zone management, natural hazards and disaster, climate change, land degradation, landslide hazards, flood vulnerable assessment, riverbank erosion, and sustainable development. Dr. Nath is a significant figure in academic publishing, with numerous national and international research papers (16) and book chapters (10) in international reputed to her credit. She has edited one published volume (Springer Nature) and is preparing five upcoming edited volumes (two by Elsevier, three by Springer Nature, 2025-26), in addition to authoring a book scheduled for publication by Springer Nature (Feb, 2026). She is actively involved in guiding future research as a co-supervisor of a doctoral student at the University of Petroleum and Energy Studies (UPES), Dehradun, India and serves as a reviewer for reputed international journals published by Elsevier, Springer Nature, and Taylor & Francis.
Dr. Bappaditya Koley is a currently working in the Department of Geography at Bankim Sardar College (Affiliated to University of Calcutta), West Bengal, India, and a former researcher at Jadavpur University, Kolkata, India. His core areas of expertise include natural hazards and disaster risk reduction, climate change, machine learning, and GeoAI. He focuses on advancing interdisciplinary approaches for sustainable development. Dr. Koley has a strong publishing portfolio, including 37 national and international research articles (17) and book chapters (20) internationally reputed. He is a significant figure in academic publishing, serving as an editor for one published volume (Springer Nature) and five upcoming edited volumes (two by Elsevier, three by Springer Nature, 2025-26), in addition to authoring a book forthcoming from Springer Nature (Feb, 2026). He also served as a co-director for an ICSSR (ERC, Kolkata) funded minor research project on "Forestry, Fishery and Sustainable Livelihood: An Assessment for some selected areas of Indian Sundarbans". Furthermore, he was a center co-coordinator at Bankim Sardar College, running IIRS (ISRO) Outreach Programmes (2019-2023). He serves on the Springer Nature's Editorial Board Member of Discover Geoscience Journal. He is a reviewer for reputable journals (Elsevier, Springer Nature, and Taylor & Francis) and a Guest Editor for an MDPI (Designs Journal) Special Issue on "Designing of AIML (Artificial Intelligence and Machine Learning) and Convolutional Neural Network (CNN) Based Architectures and Its Various Applications in the Field of Engineering".
Prof. Dr. Biswajeet Pradhan is an internationally established scientist in the field of Geospatial Information Systems (GIS), remote sensing and image processing, complex modelling/geo-computing, machine learning and soft-computing applications, natural hazards and environmental modelling and remote sensing of Earth observation. He is the Director of the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS) at the Faculty of Engineering and IT. He is also the distinguished professor at the University of Technology, Sydney. He is listed as the World's most Highly Cited researcher by Clarivate Analytics Report in 2019, 2018, 2017 and 2016 as one of the world's most influential mind. In 2019 and 2018, he has been awarded as World Class Professor by the Ministry of Research, Technology and Higher Education, Indonesia. He is a recipient of Alexander von Humboldt Research Fellowship from Germany. In 2011, he received his habilitation in "Remote Sensing" from Dresden University of Technology, Germany. Since February 2015, he is serving as "Ambassador Scientist" for Alexander Humboldt Foundation, Germany. Professor Pradhan has received 55 awards since 2006 in recognition of his excellence in teaching, service and research. Out of his more than 450 articles, more than 400 have been published in science citation index (SCI/SCIE) technical journals. He has written eight books and thirteen book chapters. He is the Associate Editor and Editorial Member in more than 8 ISI journals. Professor Pradhan has widely travelled abroad visiting more than 52 countries to present his research findings
Dr. Arkoprovo Biswas is an Assistant Professor at the Geological Studies Unit, Physics and Earth Science Division, Indian Statistical Institute, Kolkata, India. He holds a B.Sc. in Geology from Presidency College, University of Calcutta (2002), an M.Sc. in Geological Science (2004), and an M.Tech. in Earth and Environmental Science (2006) from IIT Kharagpur. He also earned a Postgraduate Diploma in Petroleum Exploration from Annamalai University in 2009. In 2013, he was awarded a Ph.D. in Exploration Geophysics from IIT Kharagpur. Dr. Biswas has amassed rich industry and academic experience, beginning as a Geophysicist with Geostar Surveys India Pvt. Ltd (2006), and later serving as an On-Board Data Processing Field Engineer at WesternGeco Electromagnetics, Schlumberger (2007-2008). He has held academic and research positions at IISER Bhopal (2014-2015), Wadia Institute of Himalayan Geology, Dehradun (2016-2017), and Banaras Hindu University, Varanasi (2017-2025). His primary research interests lie in near-surface geophysics, integrated electrical and electromagnetic methods, geophysical inversion, mineral and groundwater exploration, subsurface contamination, subsurface waste characterization, landfill monitoring, environmental contamination assessment, and AI-ML assisted interpretation in Geosciences. He has authored over 60 research papers in reputed national and international journals and contributed six book chapters. He has also published two edited volumes with Springer. He serves as an Editor for Results in Earth Sciences (Elsevier) and as an Associate Editor for Scientific Reports, International Journal of Geophysics, Contributions to Geophysics and Geodesy, and Arabian Journal of Geosciences. He serves on the International Editorial Advisory Boards of Natural Resources Research, Spatial Information Research, and several other publications. He is a Life Fellow of the Geological Society of India and the International Science Congress Association, a Fellow of the Society of Earth Scientists, a Life Member of the Indian Geophysical Union, and an Active Member of the Society of Exploration Geophysicists (USA).
Prof. Dr. Tanupriya Choudhury is a highly accomplished academic with 15 years of experience in teaching and research. He holds a B.Tech and M.Tech in Computer Science and Engineering from West Bengal University of Technology and Dr. M.G.R University, respectively, and a PhD from Jagannath University Jaipur (2016). He is currently a Professor at School of Computer Sciences, University of Petroleum and Energy Studies (UPES) at Dehradun in Uttarakhand, India. His career includes roles at Symbiosis International University, Graphic Era Deemed to be University, Dehradun, and Amity University Noida, among others. Dr. Choudhury's expertise includes Human Computing, Soft Computing, Cloud Computing, and Data Mining. He has an impressive record of 25 patent filings and 16 software copyrights. He has authored over 100 Scopus-indexed research papers, presented at numerous international conferences, and delivered guest lectures globally. He received the Global Outreach Education Award for Excellence in Best Young Researcher Award (2018). Professionally, he is a lifetime member of IETA and is affiliated with IEEE and IET (UK). He is also a Technical Adviser for several corporate entities, serves as an editor for reputed journals, and holds key positions in organizations like the INDO-UK Confederation of Science, Technology and Research Ltd. and IETA (India).
Prof. Dr. Jung-Sup Um, Department of Geography, College of Social Sciences, Kyungpook National University, South Korea. He has been Editor-in-Chief of Spatial Information Research (Springer Nature) since 2015. He shares his interest in drones by maintaining strong links with international editorial boards, authors, and reviewer communities. He was awarded thirteen times Outstanding Research Award for significant and lasting research contributions. He is also the author of a recent book on Drones as Cyber-Physical Systems, Concepts and Applications for the Fourth Industrial Revolution, coauthor of seven Spatial Information books, and more than 100 journal publications (including two patents registered). He has tried to promote the importance of drones as the core infrastructure of the 4th Industrial Revolution era while offering online lectures on the contents of this book (course title: Future Industry and Job Selection). His current research work is on UAV remote sensing as a Cyber-Physical system, the use of satellite data (GOSAT, OCO-2) in UN-REDD MRV requirements, and synergistic application research that combines with various disciplines such as law, economics, political science, environmental science, etc. As a photographer and remote sensing practitioner, he began to intensively occupy himself with drones by the revolutionary prospect of being able to take aerial photographs at any time or any place. Over time, great enthusiasm for this technology led me to publish a book about drones (2019, Drones as Cyber-Physical Systems, Concepts and Applications for the Fourth Industrial Revolution, Springer-Nature). He was a principal investigator in the various research projects that led to promoting geographic information to the general public. He was the program co-chair of the Organizing Committee of FOSS4G Seoul from 2013 to 2015. He was an associate editor and Spatial Information Research editorial board member from 1995 to 2015. His Ph.D. and Master's thesis focus on the validity evaluation and application of modern remote sensing techniques for a zero-carbon city. Furthermore, he has been in a university teaching position in Remote Sensing and GIS since 1999. He has worked as a government official at the Ministry of Environment in Korea, focusing on applying remote sensing and GIS. He also introduced remote sensing and image processing for the Ministry of Environment in Korea. He had developed extensive research and laboratory capabilities in the Ministry. His experience includes projects with related central governments in Korea, as well as private companies and research institutions. He has been frequently invited to local and central governments as a consultant for zero-carbon Geomatics planning.
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