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Tag "HSE Development Programme until 2030" – News

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

Russian coauthors research A. Derkacheva and K. Ermokhina (in the foreground) on their way to the fieldwork site, near Harp, 2018
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