Artificial Intelligence in Remote Sensing for Disaster Management

Dahiya, Neelam (EDT)/ Singh, Gurwinder (EDT)/ Singh, Sartajvir (EDT)

Wiley-Scrivener（2025/09発売）

• 製本 Hardcover:ハードカバー版／ページ数 384 p.
• 言語 ENG
• 商品コード 9781394287192

Full Description

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.

Contents

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