climate change; drying of trees; remote sensing; deep learning; image processing

RECOGNITION OF DAMAGED FOREST WITH THE HELP OF CONVOLUTIONAL MODELS IN REMOTE SENSING

The article provides a detailed review of the problem of deforestation, which in recent years has become uncontrolled. The main causes of forest damage are analyzed, among which the most well-known are climate change, diseases and pests. The losses of forestry as a result of tree diseases, which are large-scale and widespread in other countries, are given.