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 ...

Researchers have developed a highly accurate land cover map for Siberia, providing insights into climate change and predictions. Using advanced machine learning techniques and existing multiple land ...

Scientists from Sun Yat-Sen University developed a large-scale annotated dataset (Globe230k) for high generalized global land cover mapping. The annotated patches provide cues to help classification ...

Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ecosystem protection. Advances in satellite imaging have improved resolution, ...

Researchers use advanced machine learning techniques and multiple global land cover datasets to develop a high-precision land cover map of Siberia. Siberia, a province located in Russia, is a ...