Detection of Bark Beetle Disturbance at Tree Level Using UAS Multispectral Imagery and Deep Learning
This study aimed to examine the potential of convolutional neural networks (CNNs) for the detection of individual trees infested by bark beetles in a multispectral high-resolution dataset acquired by an unmanned aerial system (UAS).We compared the performance of three CNN architectures and the random forest (RF) model to classify the trees into fou