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Elsevier

Remote Sensing and AI for Climate-Driven Hazard Assessment

Geospatial Approaches to Risk, Monitoring, and Mitigation

  • 1st Edition - April 1, 2027
  • Latest edition
  • Editors: Aqil Tariq, Mona S. Ramadan
  • Language: English

Remote Sensing and AI for Climate-Driven Hazard Assessment: Geospatial Approaches to Risk, Monitoring, and Mitigation addresses the urgent need for advanced geospatial tools to man… Read more

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Description

Remote Sensing and AI for Climate-Driven Hazard Assessment: Geospatial Approaches to Risk, Monitoring, and Mitigation addresses the urgent need for advanced geospatial tools to manage increasing climate-related hazards. This volume combines satellite data, GIS technologies, and artificial intelligence to improve hazard detection, risk assessment, and mitigation strategies. It is designed for researchers, environmental scientists, GIS specialists, and policymakers working on climate vulnerability and disaster risk reduction. The book offers a structured approach across chapters, covering theory, data sources, analytical methods, and practical case studies from regions like the UAE, China, and Southeast Asia, emphasizing real-world applications. Its regional focus and integration of cutting-edge analytics enable professionals to develop innovative solutions for urban resilience and climate adaptation. By bridging foundational knowledge with advanced geospatial analysis, this reference empowers users to make data-driven decisions, enhance disaster preparedness, and support sustainable development in a changing climate.

Key features

  • Integrates remote sensing, AI, and geospatial analytics for hazard assessment
  • Applies analytical frameworks to diverse climate hazards with real-world datasets
  • Offers regional case studies from climate-vulnerable environments
  • Presents a templated chapter structure for clarity and comparability
  • Combines foundational concepts with advanced analytical methods

Readership

Environmental scientists and geospatial professionals, Disaster risk managers, Urban planners, Climate change researchers, Remote sensing specialists, Environmental policy makers

Table of contents

Part I: Foundations

1. Introduction: Exploring the Role of Remote Sensing and GIS in Environmental Hazard Science

2. Climate Change and Natural Hazards: A Geospatial Analysis Perspective

3. Data Sources, Sensor Technologies, and AI Tools for Hazard Assessment

Part II: Thematic Applications by Hazard Type

4. Mapping and Monitoring Drought Risk with Satellite-Derived Indices

5. Assessing Flood Hazards Using Remote Sensing and Hydrological Modeling

6. Detecting and Predicting Wildfires with Multi-Sensor Data Integration

7. Evaluating Urban Heat Islands and Heatwave Vulnerability

8. Coastal Hazards and Sea-Level Rise through a Remote Sensing Lens

Part III: Analytical Methods and Decision Support

9. Utilizing Machine Learning for Environmental Risk Forecasting

10. Applying Multi-Criteria Decision Analysis (MCDA) in Geospatial Hazard Modeling

Part IV: Regional Case Studies and Forward-Looking Perspectives

11. Case Study: Managing Flood Risks in Arid Urban Settings (e.g., UAE)

12. Case Study: Mapping Climate Vulnerability in Coastal Regions

13. Bridging Policy, Practice, and Future Strategies in Geospatial Climate Hazard Management

Product details

  • Edition: 1
  • Latest edition
  • Published: April 1, 2027
  • Language: English

About the editors

AT

Aqil Tariq

Dr. Aqil Tariq is a Research Associate in the Department of Wildlife, Fisheries, and Aquaculture at Mississippi State University, USA. His research interests are 3D geoinformation, urban analytics, spatial analysis to examine land use/land cover, geospatial data science, urban planning, crop identification using SAR and optical satellite imagery, agriculture monitoring, forest fire, forest monitoring, forest cover dynamics, spatial statistics, multi-criteria algorithms, ecosystem sustainability, hazards risk reduction, statistical analysis and modeling (Google Earth Engine, HEC-RAS, FlowR, RAMMS, GeoClaw, COSI-Corr, SfM) using Python, R, and MATLAB. He is a member of different international science communities, i.e., Individual Membership of ISPRS, International Water Resources Association, International Association of Geodesy, and the Surveying & Spatial Sciences Institute (SSSI). He has attended more than 30 training workshops from the National Aeronautics and Space Agency (NASA) ARSET program.

Affiliations and expertise
Research Associate, Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, USA

MR

Mona S. Ramadan

Dr. Mona S. Ramadan is an Assistant Professor in the Department of Geography and Urban Sustainability at UAE University. Her research interests include urban sustainability, climate change monitoring, air quality modeling, spatial decision support systems, and land use analysis. With more than 12 peer-reviewed publications indexed in Scopus and active roles as a co-investigator in several funded projects, Dr. Ramadan integrates remote sensing, AI, and MCDA to advance urban and environmental planning aligned with the Sustainable Development Goals (SDGs). Her expertise adds considerable value to the editorial vision of this book.

Affiliations and expertise
Assistant Professor, Department of Geography and Urban Sustainability, UAE University, UAE