Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. (arXiv:2210.03829v1 [cs.LG])

Bark beetle outbreaks can result in a devastating impact on forest ecosystem
processes, biodiversity, forest structure and function, and economies. Accurate
and timely detection of bark beetle infestations is crucial to mitigate further
damage, develop proactive forest management activities, and minimize economic
losses. Incorporating remote sensing (RS) data with machine learning (ML) (or
deep learning (DL)) can provide a great alternative to the current approaches
that rely on aerial surveys and field surveys, which are impractical over vast
geographical regions. …

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