Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 81 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.
Artificial Intelligence in Remote Sensing for Disaster Management
Price: 225 $ | Publisher: Scrivener Wile
Editors: Neelam Dahiya, Gurwinder Singh, Sartajvir Singh, Apoorva Sharma
Release Date: 2025 | Copyright: © 2025 Wiley | Language: English | Categories: Disaster Management, Artificial Intelligence, Remote Sensing, Precision Agriculture, Snow Avalanches, Landslides
Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications.
Buy NowChapter 1: Introduction to Natural Hazards, Challenges, and Managing Strategies
Authors: Puninder Kaur, Taruna Sharma, Jaswinder Singh, Neelam Dahiya
Chapter 2: Role of Remote Sensing for Emergency Response and Disaster Rehabilitation
Authors: Mochamad Irwan Hariyono, Aptu Andy Kurniawan
Chapter 3: Fundamentals of Disaster Management Using Remote Sensing
Authors: Garima, Narayan Vyas
Chapter 4: Remote Sensing for Monitoring of Disaster-Prone Region
Authors: Navdeep Singh Sodhi, Sofia Singla
Chapter 5: Artificial Intelligence Tools in Disaster Risk Reduction and Emergency Management
Authors: Rupinder Singh, Manjinder Singh, Jaswinder Singh
Chapter 6: AI Tools and Technologies in Disaster Risk Reduction and Management
Authors: Alisha Sinha, Laxmi Kant Sharma
Chapter 7: AI-Based Landslide Susceptibility Evaluation
Authors: Amanpreet Singh, Payal Kaushal
Chapter 8: Navigating Risk: A Comprehensive Study of Landslide Susceptibility Mapping and Hazard Assessment
Authors: Gaurav Kumar Saini, Inderdeep Kaur
Chapter 9: Application of Geospatial Technology for Disaster Risk Reduction Using Machine Learning Algorithm and OpenStreetMap in Batticaloa District, Eastern Province, Sri Lanka
Authors: Zahir I.L.M., Suthakaran S., Iyoob A.L., Nuskiya M.H.F., Fowzul Ameer M.L.
Chapter 10: Landslide Displacement Forecasting With AI Models
Authors: Sangeetha Annam
Chapter 11: Estimation of Snow Avalanche Hazardous Zones With AI Models
Authors: Rajinder Kaur, Sartajvir Singh, Ganesh Kumar Sethi
Chapter 12: Predicting and Understanding the Snow Avalanche Event
Authors: Nitin Arora, Sakshi
Chapter 13: A Systematic Review on Challenges and Opportunities in Snow Avalanche Risk Assessment and Analysis
Authors: Apoorva Sharma, Bhavneet Kaur, Sartajvir Singh
Chapter 14: AI-Based Modeling of GLOF Process and Its Impact
Authors: Jaswinder Singh, Rajwinder Kaur, Puninder Kaur, Rupinder Singh
Chapter 15: A Systematic Review of the GLOF Susceptibility Assessment Techniques
Authors: Oushnik Banerjee, Anshu Kumari, Apoorva Shamra
Chapter 16: Challenges of GLOF Estimation and Prediction
Authors: Neelam Dahiya, Sartajvir Singh, Puninder Kaur
Chapter 17: Real-Time Earthquake Monitoring with Remote Sensing and AI Technology
Authors: Koushik Sundar, Narayan Vyas, Neha Bhati
Chapter 18: Enhancing Seismic-Events Identification and Analysis Using Machine Learning Approach
Authors: Gurwinder Singh, Harun, Tejinder Pal Singh
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