Geospatial Annotation

This process involves the annotation of data acquired through satellites, drones, aerial photography, GPS and GIS. Manmade and natural geographic objects such as roads, water bodies, forests, deserts, agricultural lands and buildings are annotated for machine learning. This kind of information is important for planning purposes for sectors such as agriculture, telecommunications and emergency management.