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
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24 November
2025