Temporal Subset SBAS InSAR Approach for Tropical Peatland Surface Deformation Monitoring Using Sentinel-1 Data

Tropical peatland in Southeast Asia has undergone rapid degradation and shows large subsidence due to oxidation peat shrinkage. The measurement of those deformations is thus valuable for evaluating the condition assessing restoration. time series interferometric synthetic aperture radar (TInSAR), especially with small baseline subsets (SBAS) method, capable measuring long-term deformation. However, dynamic surface scatterers often change tropical peatland, which degrades coherent scatterer (CS) distribution density. This article presents a simple efficient TInSAR approach that enhances CS density under such scatter variation based on SBAS method. In presented approach, long-time single-look complex images separated into subsets, deformation estimation performed each subset. effectiveness this solution was investigated by InSAR simulation validated using SAR observation data. We applied subset three-year Sentinel-1A C-band dataset acquired over Indonesia. analyses showed an improved number CSs introduced approach. further introduce color representation temporal behavior per visual interpretation change.