New Delhi: Machine learning techniques used by scientists for modeling crustal deformations over the Tibetan Plateau have helped forecasting velocity vectors of such movements and enhancing the characterization of plate movements. Typically, a dense network of Continuously Operating Reference Stations (CORS) is employed to continuously monitor crustal deformation. Campaign-mode GPS surveys are often used to densify the existing CORS network. Establishing a station in the desired location can be very challenging due to logistical problems and regional geographical considerations. Moreover, this process is expensive, and studies on crustal movement are…
Read MoreMachine learning helps predict crustal movements in Tibetan Plateau
