Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or ‘label images’) collated for the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It includes image sets from both geospatial satellite, aerial, and UAV imagery and orthomosaics, as well as non-geospatial oblique and nadir imagery. Images include a diverse range of coastal environments from the U.S. Pacific, Gulf of Mexico, ...

The U.S. Geological Survey (USGS) conducted interviews of professionals who make decisions about marshes during the Salt Marsh Evolution along the South Atlantic Bight project (SAB project) and the Marsh Model Retrospective initiative. During the SAB project, an advisory committee of marsh model users were interviewed in June 2023 about what decisions they make about marshes and how they use marsh models in their work. During the Marsh Model Retrospective initiative, marsh model users were interviewed ...