Waleed et al. (2025) An overview of Google Earth Engine for disaster risk management

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-05
• Authors: Mirza Waleed, Maham Tariq
• DOI: 10.1016/b978-0-443-33803-8.00036-6

Research Groups

• Department of Geography, Hong Kong Baptist University, Hong Kong, China
• Department of Environmental Sciences, COMSATS University Islamabad, Vehari, Pakistan

Short Summary

This paper provides an overview of Google Earth Engine's utility in disaster risk management, emphasizing its role in leveraging Earth observation data for real-time monitoring and adaptive strategies amidst increasing global disaster frequency.

Objective

• To provide a comprehensive overview of how Google Earth Engine (GEE) can be effectively utilized for disaster risk management (DRM) by integrating Earth observation data for real-time monitoring and adaptive strategies.

Study Configuration

• Spatial Scale: Global (conceptual applicability across various regions and disaster types)
• Temporal Scale: Recent trends (increasing disaster frequency) and real-time monitoring for disaster preparedness and response.

Methodology and Data

• Models used: Google Earth Engine (as a platform for data processing and analysis)
• Data sources: Earth observation data derived from satellites, aerial platforms, and ground sensors.

Main Results

• The intensity and frequency of disasters have significantly increased in recent years due to global climate pattern changes and anthropogenic activities.
• Effective disaster risk management (DRM) necessitates the integration of real-time monitoring and adaptive strategies to minimize risks and enhance preparedness.
• Earth observation data is crucial for DRM, offering a scientific foundation for proactive interventions by continuously monitoring environmental conditions, tracking hazards, and modeling disaster risks.
• Google Earth Engine (GEE) is presented as a key platform for leveraging advanced remote sensing technologies and Earth observation data, empowering decision-makers with actionable insights for comprehensive DRM.

Contributions

• This article synthesizes the critical role of Google Earth Engine (GEE) in modern disaster risk management (DRM), particularly in the context of escalating global disaster events.
• It highlights GEE's capacity to integrate diverse Earth observation data for real-time monitoring and adaptive strategies, providing a valuable overview of its potential to enhance community resilience and long-term sustainability.

Funding

• Not specified in the provided text.

Citation

@article{Waleed2025overview,
  author = {Waleed, Mirza and Tariq, Maham},
  title = {An overview of Google Earth Engine for disaster risk management},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-33803-8.00036-6},
  url = {https://doi.org/10.1016/b978-0-443-33803-8.00036-6}
}