In low-land permafrost regions, the landscape can be subjected to significant seasonal cycles of vertical surface deformation. This effect is mainly driven by seasonal thaw subsidence and frost heave caused by water migration and ice-lens formation during thawing and freezing, with additional contributions from volumetric changes associated with phase transitions between ice and liquid water. Satellite differential SAR interferometry (DInSAR) has been used in the past to quantify the seasonal vertical surface displacement from thaw subsidence and frost heave. However, the DInSAR phase does not only contain information on ground displacement, but is also influenced by changes in atmospheric, soil moisture, vegetation and snow cover conditions. The aim of our study was to quantify the vertical seasonal surface thaw displacement using DInSAR with almost coinciding Sentinel-1 (C-band), TerraSAR-X (X-band) and ALOS-2 PALSAR-2 (L-band) data, to compare the results obtained at different frequencies and to relate the results to in situ displacement data and soil, moisture and land cover characteristics. As our study area we chose Samoylov Island in the Lena Delta, northeastern Siberia, which lies in the continuous permafrost zone and is characterized by ice-wedge polygons and small ponds and shallow lakes. Here, we processed satellite imagery during the snow-free period in 2018. We found rates of vertical thaw displacement of several centimeters in the north-western part of the island, a more stable region along the eastern part and heterogeneous rates of movement in the central part. In general, there is a good agreement between the magnitude and spatial patterns of the seasonal surface thaw displacement measured at different frequencies. This suggests that surface displacement is the predominant effect on the DInSAR phase compared to effects from variations in soil moisture, which should increase with wavelength as the penetration depth is greater at lower frequencies, and effects from vegetation, which should cause stronger systematic distortions at higher frequencies. Validation with in situ measurements showed that values determined remotely are smaller than those measured in situ, highlighting the challenges of accurately capturing and representing sub-pixel variability of displacements. A comparison with a detailed habitat type map illustrates that the large-scale magnitude of seasonal deformation is predominantly related to soil type and moisture conditions.