Peatland areas are always challenging to study; disturbed peatlands may lose their capability to retain water and can get caught in burning while exposed to anthropogenic activities. Less prior studies captured how wetness can be physically detected in 2D and 3D planes, where the interactions are incorporated mainly by soil moisture instruments and satellite imagery. This study aims to estimate the peatland’s moisture level based on reflection images and data analysis of ground penetration radar (GPR). The GPR instrument is frequently used to detect vertical sections of infrastructure. As the non-destruction technique (NDT), it can avoid the peatland’s damage when conducting an investigation and refraining from being disturbed. As a case study for this, the data is from several places located in Bengkalis Regency, Riau Province, Sumatra. The two different seasonal conditions are planned in data collection. This study identifies the pattern between wet and dry conditions based on the Gaussian distribution of the numerical footprint; the ratio is above 50 % denser between wet and dry, respectively. As a result, the moisture level for both periodical surveys can be quantitatively classified. The boundary of the layer from peat can be detected better in relatively dry conditions instead of wet