Machine learning techniques reveal a high-precision land cover map for Siberia, enhancing climatic predictions

Siberia, a province located in Russia, is a significant geographical region playing a crucial role in the world's carbon cycle. With its vast forests, wetlands, and permafrost regions (permanently frozen grounds), Siberia stores a considerable amount of carbon on a global scale. But climate change is rapidly altering Siberia's landscape, shifting its vegetative distribution and accelerating the permafrost thaw.