An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

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 ...

The spatial distribution of selected International Soil Moisture Network (ISMN) stations (red-filled circles) used in this study across different Land Use and Land Cover(LULC) classifications. The ...

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 ...