A new study introduces the Hybrid Global Annual 1-km International Geosphere-Biosphere Programme (IGBP) Land Cover Maps for the period 2000–2020. This innovative dataset, free to access, marks a ...

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 ...

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 ...

Tracking land cover over long time periods is essential for understanding climate, ecosystems, and human development, yet many annual maps are inconsistent from year to year. This study presents a new ...