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 ...

A new global dryland assessment using long-term satellite observations reveals widespread vegetation greening over the past two decades, reversing long-held expectations of accelerating ...

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 ...

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 ...

Flowchart of the production of the hybrid land cover map (HYBMAP). Step 1, calculate the land cover proportion of each set of data in each 30″ × 30″ grid; step 2, build the land cover transformation ...

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 ...

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 ...

A new global dryland assessment using long-term satellite observations reveals widespread vegetation greening over the past two decades, reversing ...