Methods for Processing Atmospheric Effects in InSAR

InSAR technology has extensive applications in earthquake monitoring and surface deformation observation. Atmospheric effects are one of the primary error sources in InSAR imagery, making atmospheric correction an indispensable step in InSAR monitoring workflows. Atmospheric effects can be mitigated using various correction models, which typically involve processing weather data or implementing numerical weather prediction algorithms. For implementation, key functions often include atmospheric delay calculation modules and phase correction algorithms that integrate GPS water vapor data or ECMWF meteorological datasets. Based on principles from geophysics, InSAR technology enables the extraction of detailed surface deformation information. For instance, it can be effectively applied to study volcanic activities and crustal movements through differential interferometry techniques and time-series analysis methods. Advanced processing approaches may incorporate machine learning algorithms for more accurate atmospheric artifact removal while preserving true deformation signals.