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.

Impact Observatory, contracted by Esri, developed a deep learning AI land classification model using a massive training dataset of billions of human-labeled image pixels, and applied this model to ...

First, a specific conceptual land cover classification scheme is presented based on the definition of delimitation and characterization variables. The regional conceptual classification scheme ...

A supervised classification by the maximum likelihood algorithm composed of five classes—Bare land, Settlements, Water bodies, Vegetation and Mine activities, was designed for this study, in order to ...

A Kansas State University geography professor is using satellite imagery to research how land use and land cover changes affect human health and food security.