{"ob_id":41686,"uuid":"babbced62c8d448b863e8df64694c84b","title":"Machine Learning Calving Front locations derived by the ESA Greenland Ice Sheets Climate Change Initiative project.","abstract":"The CFL product is generated by a deep learning-based model using optical satellite imagery (Sentinel-2). The digitized calving front is stored as vector lines in standard GeoJSON files. Additionally, metadata information on the sensor and processing steps are stored in corresponding attributes in the GeoJSON files. GeoJSON is an open standard format designed for representing simple geographical features (points, line strings, polygons, and collections), along with their non-spatial attributes.","keywords":"","inputDescription":null,"outputDescription":null,"softwareReference":null,"identifier_set":[]}