SATELLITE IMAGERY-BASED LANDSLIDE PREDICTION USING AI TECHNIQUES

Abstract

This research explores the potential of artificial intelligence (AI) for flood forecasting through the use of satellite imagery. Landslides and other natural calamities have the potential to wreak havoc on communities and their infrastructure. The limits of typical prediction algorithms are caused by the difficult geographic conditions and the lack of data. Using CNNs and other deep learning and machine learning models, this research analyzes high-resolution satellite pictures for patterns and identifies potentially hazardous regions. Using AI improves prediction accuracy, streamlines real-time monitoring, and fortifies early warning systems. This research's findings show that landslide prevention and disaster response could benefit from geospatial analysis supplemented with artificial intelligence.