Integrative Sensing Strategies for Disaster Management

Erscheinungsjahr 2026
ISBN: 978-0-443-27672-9
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

Integrative Sensing Strategies for Disaster Management explores the synergy between airborne remote sensing and social data in addressing disaster management. This book provides a framework for leveraging diverse data sources to enhance response and resilience; detailed chapters cover the fundamentals of remote sensing, data integration techniques, and ethical implications, showcasing practical case studies in urban flooding, air quality monitoring, and pandemic evaluation. The book is an essential resource for postgraduates, PhD students, researchers, and professors in Earth observation and disaster management. It advances understanding of integrated sensing technologies by addressing current challenges and emerging trends, empowering practitioners to implement innovative solutions.

Autoren/Hrsg.

Yu, Danlin

Knoble, Charles

Fachgebiete

• Geowissenschaften Geologie Geologie
• Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
• Geowissenschaften Geologie GIS, Geoinformatik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Soziale Folgen von Katastrophen
• Geowissenschaften Umweltwissenschaften Naturgewalten & Katastrophen

Inhaltsverzeichnis

1. Introduction to Integrated Sensing in Disaster Management
2. Fundamentals of Airborne Remote Sensing
3. Social Data as a Disaster Management Tool
4. Data Integration and Analysis
5. Implementing Sensing Technologies in Disaster Zones
6. Policy and Ethical Considerations of Remote Sensing of Disasters
7. Air Quality Monitoring and Alarming Systems with Satellite Images and Twitter Data in New Jersey
8. Urban Flooding and Public Engagement with Optical and Social Sensing
9. Evaluation During COVID19 Pandemic in China - City-Scale Analysis with Nighttime Light Data and Baidu Search Index
10. Lead Exposure in Urban Environments - Integrating Satellite Images, Social Sensing, and System Dynamics Simulative Models in Newark, NJ
11. Future Directions and Innovations

Über Autor(innen)

Yu, Danlin
Dr. Danlin Yu is a Professor at the Department of Earth and Environmental Studies, Montclair State University. Dr. Yu is a system dynamic modeler studying urban sustainability and environmental management. Dr. Yu's study specifically focuses on geographic information analysis, cartographical design and presentation, statistical analysis, urban and regional planning, and system dynamic modeling for complex systems (including environmental, urban, and regional systems). Dr. Yu has published widely in these fields for over 100 peer-reviewed articles in high-caliber journals with wide international circulation, and three collaborative books in the field of urban development and urbanization in China.

Knoble, Charles
Charles Knoble is a Ph.D. Candidate at the Department of Earth and Environmental Studies, Montclair State University. Charles's research focuses on urban sustainable development and its impact on disadvantaged communities. More specifically, Charles is interested in using GIS and statistical analysis to identify the socioeconomic impacts sustainable development projects have on traditionally underserved communities.