Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems
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Home > Sciences & Environment > Geography > Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems: (Advances in Geographic Information Science)
Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems: (Advances in Geographic Information Science)

Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems: (Advances in Geographic Information Science)


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About the Book

This edited collection provides a comprehensive exploration of cutting-edge ideas, approaches, simulations, evaluations of risk, and systems that enhance the practicality of current geospatial technologies for reducing hazard risks. The various sections within this book delve into subjects such as the foundational principles of Earth Observation Systems (EOS) and geospatial methodologies. Additionally, the text serves as an advisory resource on the collaborative use of satellite-derived data and artificial intelligence to track and alleviate geo-environmental threats. The volume imparts extensive understanding regarding geo-environmental dangers and their analysis via EOS along with geospatial strategies. It encompasses key hazard-related themes including coastal degradation, predisposition to landslides, mapping vegetation coverages, tropical storm patterns, soil depletion due to erosion processes, vulnerability to rapid or extended flooding events, variations in oceansurface temperatures alongside chlorophyll-a levels; it also addresses assessments related to groundwater reserves and quality measures as well as sustainable management practices for watersheds that support community livelihoods--all through leveraging AI-integrated geospatial tools in conjunction with earth observation technologies. Furthermore, this work engages in discourse about systems designed for mitigating these ecological challenges sustainably. Scholars engaged in research activities; educational professionals; those involved in landscape design; engineers working at ground level; individuals responsible for policy-making--all who are concerned with geo-environmental hazards or associated domains--will find valuable insights within these pages.

Table of Contents:
Chapter 1 An Introduction to Artificial Intelligence and its Applications towards Remote sensing.- Chapter 2 GIS and remote sensing application for vegetation mapping.- Chapter 3 Evaluation of Spatio-temporal Trend of Tropical Cyclones (TCs) in Bay of Bengal Basin, India.- Chapter 4 Application of geospatial technologies and AHP technique in the identification of soil erosion-prone zones in the Rift Valley, Southern Ethiopia.- Chapter 5 Shoreline changes along Bhitarkanika Sanctuary, North Odisha coast, India.- Chapter 6 One-dimensional shoreline evolution modeling at sea turtle nesting ground near Rushikulya estuary, Southern Odisha coast, India.- Chapter 7 Analysis of sea surface temperature and Chlorophyll-a concentration along the coastline of the Indian peninsula using remote sensing data.- Chapter 8 Landslide Susceptibility Mapping through Hyperparameter Optimized Bagging and Boosting Ensembles.- Chapter 9 Flash Floods Assessment in Hill Region.- Chapter 10 Mapping Flood Hazard in Marinduque, Philippines using Maximum Entropy Approach.- Chapter 11 GIS mapping and Groundwater Quality Assessment near solid waste dump site.- Chapter 12 Assessment of Groundwater Potential using an Integrated approach of GIS, Fuzzy AHP and Remote Sensing: A case study of Madurai City in India.- Chapter 13 Developing Sustainable Livelihood Index for the Coastal Belt of Indian Sunderbans.- Chapter 14 A Geo-Spatial approach for the development of sustainable watershed management.- Chapter 15 An Efficient Image Compression Algorithm using Neural Networks.- Chapter 16 Computer Vision based Autonomous Underwater Vehicle with Robotic Arm for Garbage Detection and Cleaning.- Chapter 17 Visual Media Super-Resolution Using Super Resolution Generative Adversarial Networks.

About the Author :
Tanupriya Choudhury completed his undergraduate studies in Computer Science and Engineering at the West Bengal University of Technology in Kolkata (2004-2008), India, followed by a Master's Degree in the same field from Dr. M.G.R University in Chennai, India (2008-2010). In 2016, he successfully obtained his PhD degree from Jagannath University Jaipur. With a total of 15 years of experience in both teaching and research, Dr. Choudhury holds the position of a Visiting Professor at Daffodil International University, Bangladesh. Currently, he is working as a Professor (Research) at Graphic Era Deemed to be University, Dehradun, India, and also serving as Associate Dean of Research. Prior to this role, he served Symbiosis International University, Pune, India; Graphic Era Hill University, Dehradun (Research Professor), UPES Dehradun (Professor and Research Head Informatics), Amity University Noida (Assistant Professor Grade 3 and International Dept. Head), and other prestigious aca-demic institutions (Dronacharya College of Engineering Gurgaon, Lingaya's University Faridabad, Babu Banarsi Das Institute of Technology Ghaziabad, Syscon Solutions Pvt. Ltd. Kolkata, etc.). He was recently recog-nized for his outstanding contributions to education with the Global Outreach Education Award for Excellence in Best Young Researcher Award at Global Outreach Education Award for Excellence (GOEAC) 2018. His areas of expertise encompass Human Computing, Soft Computing, Cloud Computing, and Data Mining, among others. Notably accomplished within his field thus far is filing 25 patents and securing copyrights for 16 software programs from MHRD (Ministry of Human Resource Development). He has actively participated as an attendee or speaker at numerous National and International conferences across India and abroad. With more than 100 research papers (Scopus) authored to date on record, Dr. Choudhury has also been invited as a guest lecturer or keynote speaker at esteemed institu-tions such as Jamia Millia Islamia University, Maharaja Agersen College (Delhi University), Duy Tan University Vietnam, etc. He has also contributed significantly to various conferences throughout India serving roles like TPC member and session chairperson. As an active professional within the technical com-munity, Dr. Choudhury holds a lifetime membership with IETA (International Engineering & Technology Association) along with being affiliated with IEEE (Institute of Electrical and Electronics Engineers), IET (UK) (Institution of Engineering & Technology, UK), and other reputable technical societies. Additionally, he is associated with corporate entities and serves as a Technical Adviser for Deetya Soft Pvt. Ltd., Noida, IVRGURU, and Mydigital360. He is also serving as an editor in reputed journals. He currently serves as the Honorary Secretary in IETA (Indian Engineering Teacher's Association-India), alongside his role as the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK, and International Association of Professional and Fellow Engineers-Delaware-USA. Bappaditya Koley is currently working as Head of the Department of Geography at Bankim Sardar College, West Bengal, India. In 2021, he successfully obtained his PhD degree in Science from Jadavpur University, Kolkata, India. His areas of research interest include applied geomorphology, geo-informatics, natural haz-ards and disasters, climate change, coastal manage-ment, environmental issues, land use modeling, and sustainable development. He has also completed a minor research project on "Forestry, Fishery and Sustainable Livelihood: An Assessment for some selected areas of Indian Sunderbans" as a co-director, funded by the Indian Council of Social Science Research (ERC, Kolkata), Govt. of India. As a centre co-coordi-nator at Bankim Sardar College, he conducted two courses in Indian Institute of Remote Sensing (IIRS) Outreach Programmes during 2019-2023, organized by the Indian Institute of Remote Sensing (ISRO), Dehradun. He has also contributed several national and international research articles and book chapters in international reputed. He has been associated as the reviewer of some reputable journals published by Elsevier, Springer-Nature, and Taylor & Francis. He has been associated as a Guest Editor of the Special Issue "Designing of AIML (Artificial Intelligence and Machine Learning) and Convolutional Neural Network (CNN) Based Architectures and Its Various Applications in the Field of Engineering" under Designs, an open access journal by Multidisciplinary Digital Publishing Institute (MDPI). Anindita Nath is currently working as a faculty in the Department of Geography at Bankim Sardar College, West Bengal, India. In the year 2021, she obtained her PhD degree in Science from Jadavpur University, Kolkata. Her research interests include coastal hazards and management, geospatial application, climate change, land degradation and management, landslide hazards and management, flood assessment and river-bank erosion, land use modeling, environmental issues, and sustainable development. She has published numer-ous research papers in leading national and interna-tional journals and book chapters to international reputations. She is associated as the reviewer of reputed journals published by Elsevier and Springer-Nature. Jung-Sup Um Professor, Department of Geography, College of Social Sciences, Kyungpook National University, South Korea. He works as an 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 Outstanding Research Award 13 times for sig-nificant 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 books on Spatial Information, and the author of more than 100 journal publications (including two patents registered). He has tried to promote the importance of drones as a core infrastructure of the 4th Industrial Revolution era while offering online lectures on the contents of this book. His current research work is on unmanned aerial vehicle (UAV) remote sensing as a cyber-physical sys-tem, the use of satellite data (Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory-2 (OCO-2)) for UN-REDD (United Nations' collaborative program on "Reducing Emissions from Deforestation and Forest Degradation") MRV (Measurement, Reporting and Verification) require-ments, and synergistic application research that com-bines with various disciplines such as law, economics, political science, environmental science, etc. As a pho-tographer and remote sensing practitioner, he began to intensively occupy himself with drones by the revolu-tionary prospect of being able to take aerial photographs at any time or any place. Over time, a great deal of enthusiasm for this technology let him publish a book about drones (2019, Springer-Nature). He was a princi-pal 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 (Free and Open-Source Software for Geospatial) Seoul from 2013 to 2015. He was an associate editor and member of the editorial board of Spatial Information Research from 1995 to 2015. He worked as a government official in the Ministry of Environment in Korea, with a focus on the application of remote sensing and geographic informa-tion system (GIS). His experience includes projects with related central governments in Korea, and he is fre-quently invited as a consultant for zero-carbon Geomatics planning to local and central governments. Atul Kumar Patidar completed his BSc degree (1998-2001) at the Holkar Science College (DAVV) Indore, Madhya Pradesh, India, followed by an MSc degree in Geology (2001-2003) at the same institute. In the year 2010, he obtained his PhD degree from the M.S. University of Baroda, Vadodara, Gujarat, India. During his doctoral studies, he worked on the neotec-tonic evolution of the southern mainland Kachchh basin using ground penetrating radar (GPR) and remote sens-ing techniques. He has reconstructed the chronology of paleoseismic events (timing and magnitude) and com-prehended the reasons for recurrent seismic activity along the Katrol Hill Fault. He established fault seg-mentation and scarp retreat model for the active faults of the Kachchh basin. Dr. Patidar has 15+ years of experience in both industry and academia. As an exploration geoscientist, he has spent 11 years (2007-2018) in Reliance Industries Limited, a multinational hydrocarbon explo-ration and production company in India. In 2018, he joined the Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies, Dehradun, as a Sr. Associate Professor (Industry Fellow). Dr. Patidar has accomplished numer-ous national and international projects during his corpo-rate tenure in the areas of regional-scale basin analysis and 3D seismic interpretation. He has received numer-ous awards for his contribution to industry, academia, and research. His core areas of specialization are Geoinformatics, Tectonic Geomorphology, Neotectonics, Paleoseismology, GPR, Seismic interpre-tation, and Basin analysis. He has published 40+ research papers in high-impact, prestigious SCI/Scopus-indexed journals/proceedings.


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Product Details
  • ISBN-13: 9783031537653
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 308
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: Advances in Geographic Information Science
  • ISBN-10: 3031537653
  • Publisher Date: 29 May 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
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  • Width: 155 mm


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