Abstract: Methods, systems, and computer programs are presented for detecting buried pipelines and spills. One method includes operations for programming a drone to fly over a geographical area, and for capturing, during a flight of the drone, geophysical data with geophysical equipment in the drone. Further, the method includes capturing, during the flight of the drone, images with a camera in the drone. A machine-learning (ML) model is utilized to identify locations of buried pipes and spills based on the captured geophysical data and the captured images. Further, the method includes presenting the identified locations of the buried pipes and spills in a map of the geographical area.

Abstract: Methods, systems, and computer programs are presented for detecting buried pipelines and spills. One method includes operations for programming a drone to fly over a geographical area, and for capturing, during a flight of the drone, geophysical data with geophysical equipment in the drone. Further, the method includes capturing, during the flight of the drone, images with a camera in the drone. A machine-learning (ML) model is utilized to identify locations of buried pipes and spills based on the captured geophysical data and the captured images. Further, the method includes presenting the identified locations of the buried pipes and spills in a map of the geographical area.