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Early Warning Systems and Real-Time Decision Support: Leveraging GIS and Remote Sensing for Global Disaster Preparedness
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Author(s): Sitesh Kumar Singh (College of Engineering, National University of Science and Technology, Muscat, Oman), Jaishri Gothania (Lingaya's Vidyapeeth, Faridabad, India)and Sunil K. Sansaniwal (NITI Aayog, Government of India, India)
Copyright: 2026
Pages: 26
Source title:
Interdisciplinary Studies on Global Disasters
Source Author(s)/Editor(s): İsmet Guney (Recep Tayyip Erdogan University, Turkey)and Mehmet Ali Celik (Igdır University, Turkey)
DOI: 10.4018/979-8-3373-6274-8.ch013
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Abstract
The chapter analyzes how Geographic Information Systems (GIS) and remote sensing can help fortify the early warning system (EWS) and prompt response decision support to international disaster readiness. It gives a review on the technological fundamentals, e.g., remote sensing platforms, GIS-based hazard modeling, and/or AI-enhanced geospatial analytics. Its use in applications involving floods, earthquakes, tsunamis, wildfires, and cyclones indicates how real-time information can be used to reduce risks proactively, direct evacuation, and design resilient infrastructure. Successes, challenges, and limitations in multi-hazard EWS are clear evidence of case studies at a global and regional level. The concluding chapter provides recommendations and future directions that are inclusive, reliable, and adaptive of systems and focuses on technology, policy, and community outlook on building resilient societies.
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