Huang et al. (2025) Introduction to data-driven earth observation for disaster management

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-05
• Authors: Xiao Huang, Siqin Wang, Kleomenis Kalogeropoulos, Andreas Tsatsaris
• DOI: 10.1016/b978-0-443-33803-8.00019-6

Research Groups

• Department of Environmental Sciences, Emory University, Atlanta, GA, United States
• Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States
• Department of Surveying and Geoinformatics Engineering, University of West Attica, Egaleo, Athens, Greece

Short Summary

This chapter introduces the critical role of data-driven Earth observation (EO) in modern disaster management, emphasizing its capacity to provide timely and accurate information across all phases—preparedness, response, recovery, and mitigation—to enhance decision-making and minimize disaster impacts.

Objective

• To introduce and explain the fundamental concepts, importance, and applications of data-driven Earth observation (EO) as a vital tool for comprehensive disaster management, covering its utility across preparedness, response, recovery, and mitigation phases.

Study Configuration

• Spatial Scale: Conceptual, discussing applications across vast geographical areas globally.
• Temporal Scale: Conceptual, discussing continuous, real-time, or near-real-time monitoring capabilities.

Methodology and Data

• Models used: Not applicable; this is a conceptual introductory chapter.
• Data sources: Conceptual discussion of various Earth observation datasets and satellite technologies for environmental monitoring.

Main Results

• This chapter establishes that data-driven Earth observation is a crucial and technologically advanced means for monitoring Earth's dynamic systems, providing actionable insights for all phases of disaster management (preparedness, response, recovery, and mitigation). It highlights EO's capacity to enhance decision-making by delivering accurate, timely data across vast geographical areas.

Contributions

• This chapter serves as a foundational introduction to the book, systematically outlining the critical role and multifaceted applications of data-driven Earth observation in modern disaster management. It frames the subsequent discussions by establishing the necessity of EO for effective monitoring, timely response, and informed decision-making across all disaster phases.

Funding

• Not specified in the provided text.

Citation

@article{Huang2025Introduction,
  author = {Huang, Xiao and Wang, Siqin and Kalogeropoulos, Kleomenis and Tsatsaris, Andreas},
  title = {Introduction to data-driven earth observation for disaster management},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-33803-8.00019-6},
  url = {https://doi.org/10.1016/b978-0-443-33803-8.00019-6}
}