AI in Disaster Forecasting: Real-Time Satellite Image Interpretation
DOI:
https://doi.org/10.63345/Keywords:
Disaster Forecasting, Real-Time Satellite Imagery, Deep Learning, Remote Sensing, Climate ResilienceAbstract
Natural disasters represent some of the most complex challenges facing humanity in the 21st century. Increasingly, climate change has amplified the severity and unpredictability of events such as floods, hurricanes, wildfires, droughts, and earthquakes. These hazards inflict profound human suffering, economic damage, and long-term ecological imbalances. Conventional disaster forecasting, while useful in limited contexts, is constrained by factors such as data latency, computational bottlenecks, and the inability to adapt to non-linear, rapidly evolving conditions.
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