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Outbreaks, by the European spruce bark beetle (Ips typographus), cause massive ecological and economic damage across Europe. Detecting these attacks early is a significant challenge because ground-truth data of which trees are attacked and when are often scarce or unavailable. This study presents a Conditional Variational Autoencoder (CVAE) designed to detect outbreaks by combining Sentinel-2 time
