Land Use and Land Cover (LULC) information derived from remote sensing images is widely used for the aggregation of spatial information, e.g., for the preparation of maps. Firstly, due to the public ...

Impacts of sea level rise will last for centuries; therefore, flood risk modeling must transition from identifying risky locations to assessing how populations can best cope. We present the first ...

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 ...

Earth system models (ESMs) help us understand climate and environmental changes. With advances in computing power, ESMs can now be run at kilometer-scale (k-scale) resolutions, capturing very fine ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce computational time in land cover mapping, particularly for vegetation. Detailed ...

Researchers recently published a study that focuses on the Sudbury-Assabet and Concord watershed in eastern Massachusetts, and which links hydrological changes, including floods, drought and runoff, ...

A Delft University of Technology team has improved agrivoltaic light-simulation methods by making atmospheric and canopy ...

Food, feed, fiber, and bioenergy: The demand for agricultural raw materials is rising. How can additional cultivation areas be reconciled with nature conservation? Researchers have developed a ...