AI-driven mapping now captures daily global land changes, enabling unprecedented monitoring of Earth’s surface transformations on a daily basis. This advancement unlocks real-time global land cover ...

Land-use/Land-cover (LULC) maps contextualize and quantify the impacts of earth processes and human activity on the environment. Organizations around the world are now using these tools to inform ...

Accurate land cover mapping underpins biodiversity protection, climate adaptation, and sustainable land use. Despite advances in remote sensing, satellite-only approaches remain limited by cloud cover ...

Land Use/Land Cover (LULC) maps are an increasingly important tool for decision-makers at local, regional, and national government levels around the world. These maps help inform policy and land ...

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 ...

A new tool co-developed by Google Earth Engine and the World Resources Institute is being billed as the planet’s most up-to-date and high-resolution global land cover mapping data set, giving ...

A team at the University of Copenhagen has generated a map of tree cover in 45 African countries down to individual tree crowns by feeding high-resolution satellite imagery into a machine-learning ...

Accurate land cover maps are fundamental to urban planning, environmental monitoring, and sustainable development. Yet until now, large-scale submeter products remained scarce due to the challenges of ...

Land cover is constantly changing due to climate pressures and human activities, yet traditional satellite monitoring often misses rapid events. A new multimodal framework, FROM-GLC Plus 3.0, ...