HYBRID INSAR PROCESSING FOR RAPIDLY DEFORMING PEATLANDS AIDED BY CONTEXTUAL INFORMATION

We present a novel InSAR processing scheme which combines point scatterer (PS) and distributed scatter (DS) approaches in a hybrid framework along with contextual information about the environment under study. Data such as land parcel divisions, precipitation and temperature are integrated into the processing pipeline in order to produce accurate deformation time series estimates of the Dutch peatlands. In addition to these steps, a segmented processing scheme is introduced to manage irreversible losses of coherence in the interferogram stack. Initial results show a promising agreement with in-situ ground truth measurements gathered by extensometer readings of shallow surface deformation.

Automated summary

This article presents a novel InSAR processing scheme that combines point scatterer and distributed scatter approaches, along with contextual information, to accurately estimate the deformation time series of Dutch peatlands. Additionally, a segmented processing scheme is introduced to manage irreversible coherence losses in the interferogram stack. Initial results show promising agreement with in-situ ground truth measurements.