A Russian-American team of researchers used convolutional neural networks to study high-resolution satellite images of three Siberian landscapes taken at intervals of 10-15 years
The neural network analysed nearly a million 12×12 m plots and found that the rate of shrub spread varies from 2.4% to 26.1% per decade, depending on local conditions. The study showed that mature shrubs prefer well-drained slopes, while new colonisation occurs on flatter areas, which opens up opportunities for predicting further shrubification of the Arctic under climate change conditions
HSE Development Programme until 2030publicationsresearch projectsinternational cooperationHSE Development Programme until 2030HSE as a Technological UniversityPriority 2030
24 November
2025