Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. 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…mehr
Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. 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.
Neelam Dahiya, PhD is an assistant professor in the Department of Computer Applications at Chitkara University, Punjab, India. She has authored over ten articles in international journals and filed more than ten patents with the Indian Patent Office, five of which were granted. She has also reviewed various articles for renowned journals and conferences. Her research interests include remote sensing, digital image processing, deep learning, and hyperspectral imaging. Gurwinder Singh, PhD is an associate professor at the Institute of Computing at Chandigarh University, India. He has internationally published over 35 articles, conference papers, and book chapters, as well as one patent. He also serves as a member of the International Society for Photogrammetry and Remote Sensing and the Indian Society of Remote Sensing. His research interests include remote sensing, digital image processing, agricultural land use classification, machine learning, and deep learning. Sartajvir Singh, PhD is a professor and the Associate Director for the University Institute of Engineering at Chandigarh University, Punjab, India. He has filed over 50 patents with the Indian Patent Office, with over half granted. He has authored over 50 articles in international journals and edited various proceedings for conferences and symposia in addition to serving as an editor for several international journals. His research interests include electronics, remote sensing, and digital image processing. Apoorva Sharma is a digital analyst and assistant professor in the Department of Computer Science and Engineering, Chandigarh University, Punjab, India. She has published three articles in internationally reputed journals and conferences and contributed to innovative wearable and geospatial technologies. Her research interests include remote sensing, digital image processing, agriculture and cryosphere studies, machine learning, and deep learning.
Inhaltsangabe
Preface xvii 1 Introduction to Natural Hazards, Challenges, and Managing Strategies 1 Puninder Kaur, Taruna Sharma, Jaswinder Singh and Neelam Dahiya 2 Role of Remote Sensing for Emergency Response and Disaster Rehabilitation 21 Mochamad Irwan Hariyono and Aptu Andy Kurniawan 3 Fundamentals of Disaster Management Using Remote Sensing 35 Garima and Narayan Vyas 4 Remote Sensing for Monitoring of Disaster-Prone Region 59 Navdeep Singh Sodhi and Sofia Singla 5 Artificial Intelligence Tools in Disaster Risk Reduction and Emergency Management 79 Rupinder Singh, Manjinder Singh and Jaswinder Singh 6 AI Tools and Technologies in Disaster Risk Reduction and Management 99 Alisha Sinha and Laxmi Kant Sharma 7 AI-Based Landslide Susceptibility Evaluation 125 Amanpreet Singh and Payal Kaushal 8 Navigating Risk: A Comprehensive Study of Landslide Susceptibility Mapping and Hazard Assessment 139 Gaurav Kumar Saini and Inderdeep Kaur 9 Application of Geospatial Technology for Disaster Risk Reduction Using Machine Learning Algorithm and OpenStreetMap in Batticaloa District, Eastern Province, Sri Lanka 161 Zahir I.L.M., Suthakaran S., Iyoob A.L., Nuskiya M.H.F. and Fowzul Ameer M.L. 10 Landslide Displacement Forecasting With AI Models 185 Sangeetha Annam 11 Estimation of Snow Avalanche Hazardous Zones With AI Models 201 Rajinder Kaur, Sartajvir Singh and Ganesh Kumar Sethi 12 Predicting and Understanding the Snow Avalanche Event 213 Nitin Arora and Sakshi 13 A Systematic Review on Challenges and Opportunities in Snow Avalanche Risk Assessment and Analysis 229 Apoorva Sharma, Bhavneet Kaur and Sartajvir Singh 14 AI-Based Modeling of GLOF Process and Its Impact 243 Jaswinder Singh, Rajwinder Kaur, Puninder Kaur and Rupinder Singh 15 A Systematic Review of the GLOF Susceptibility Assessment Techniques 271 Oushnik Banerjee, Anshu Kumari and Apoorva Shamra 16 Challenges of GLOF Estimation and Prediction 289 Neelam Dahiya, Sartajvir Singh and Puninder Kaur 17 Real-Time Earthquake Monitoring with Remote Sensing and AI Technology 303 Koushik Sundar, Narayan Vyas and Neha Bhati 18 Enhancing Seismic-Events Identification and Analysis Using Machine Learning Approach 323 Gurwinder Singh, Harun and Tejinder Pal Singh References 341 Index 343
Preface xvii 1 Introduction to Natural Hazards, Challenges, and Managing Strategies 1 Puninder Kaur, Taruna Sharma, Jaswinder Singh and Neelam Dahiya 2 Role of Remote Sensing for Emergency Response and Disaster Rehabilitation 21 Mochamad Irwan Hariyono and Aptu Andy Kurniawan 3 Fundamentals of Disaster Management Using Remote Sensing 35 Garima and Narayan Vyas 4 Remote Sensing for Monitoring of Disaster-Prone Region 59 Navdeep Singh Sodhi and Sofia Singla 5 Artificial Intelligence Tools in Disaster Risk Reduction and Emergency Management 79 Rupinder Singh, Manjinder Singh and Jaswinder Singh 6 AI Tools and Technologies in Disaster Risk Reduction and Management 99 Alisha Sinha and Laxmi Kant Sharma 7 AI-Based Landslide Susceptibility Evaluation 125 Amanpreet Singh and Payal Kaushal 8 Navigating Risk: A Comprehensive Study of Landslide Susceptibility Mapping and Hazard Assessment 139 Gaurav Kumar Saini and Inderdeep Kaur 9 Application of Geospatial Technology for Disaster Risk Reduction Using Machine Learning Algorithm and OpenStreetMap in Batticaloa District, Eastern Province, Sri Lanka 161 Zahir I.L.M., Suthakaran S., Iyoob A.L., Nuskiya M.H.F. and Fowzul Ameer M.L. 10 Landslide Displacement Forecasting With AI Models 185 Sangeetha Annam 11 Estimation of Snow Avalanche Hazardous Zones With AI Models 201 Rajinder Kaur, Sartajvir Singh and Ganesh Kumar Sethi 12 Predicting and Understanding the Snow Avalanche Event 213 Nitin Arora and Sakshi 13 A Systematic Review on Challenges and Opportunities in Snow Avalanche Risk Assessment and Analysis 229 Apoorva Sharma, Bhavneet Kaur and Sartajvir Singh 14 AI-Based Modeling of GLOF Process and Its Impact 243 Jaswinder Singh, Rajwinder Kaur, Puninder Kaur and Rupinder Singh 15 A Systematic Review of the GLOF Susceptibility Assessment Techniques 271 Oushnik Banerjee, Anshu Kumari and Apoorva Shamra 16 Challenges of GLOF Estimation and Prediction 289 Neelam Dahiya, Sartajvir Singh and Puninder Kaur 17 Real-Time Earthquake Monitoring with Remote Sensing and AI Technology 303 Koushik Sundar, Narayan Vyas and Neha Bhati 18 Enhancing Seismic-Events Identification and Analysis Using Machine Learning Approach 323 Gurwinder Singh, Harun and Tejinder Pal Singh References 341 Index 343
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826
