This deep learning model is designed to detect and extract green coverage from imagery.

Green coverage layers are valuable for creating base maps, enhancing map visualization, and supporting various spatial analyses. Traditionally, extracting green coverage involves manual digitization—a labour-intensive and time-consuming process.

By leveraging deep learning, this model automates the extraction of green areas with high accuracy, significantly reducing the time and effort required. It streamlines workflows and delivers consistent, reliable results for a wide range of mapping and analytical applications.