Integrative Sensing Strategies for Disaster Management, 9780443276729
Paperback
Combining airborne sensing and social data for disaster resilience.
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Integrative Sensing Strategies for Disaster Management

$490.78

  • Paperback

    350 pages

  • Release Date

    1 May 2026

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Summary

Integrative Sensing Strategies for Disaster Management

This book explores the synergy between airborne remote sensing and social data in addressing disaster management. It 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.

Book Details

ISBN-13:9780443276729
ISBN-10:0443276722
Author:Danlin Yu, Charles Knoble
Publisher:Elsevier - Health Sciences Division
Imprint:Elsevier - Health Sciences Division
Format:Paperback
Number of Pages:350
Release Date:1 May 2026
Weight:0g
Dimensions:229mm x 152mm
Series:Earth Observation
About The Author

Danlin Yu

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.

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.

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