Fusion of SAR and Multi-spectral Time Series for Determination of Water Table Depth and Lake Area in Peatlands

Abstract Peatlands as natural carbon sinks have a major impact on the climate balance and should therefore be monitored protected. The hydrology of peatland serves an indicator storage capacity. Hence, we investigate question how suitable different remote sensing data are for monitoring size open water surface table depth (WTD) ecosystem. Furthermore, examine potential combining this purpose. We use C-band synthetic aperture radar (SAR) from Sentinel-1 multi-spectral Sentinel-2. backscatter $$\sigma ^0$$ σ 0 , normalized difference index (NDWI) modified (MNDWI) calculated used consideration WTD lake size. For measurement size, implement methods: random forest, adaptive thresholding analysis according to Dempster–Shafer theory. Correlations between well NDWI investigated. When looking at individual sets results our case study show that VH polarized produces clearest delineation lake. However weighted fusion image -VH, -VV MNDWI, forest algorithm with all three input proves most determining area. correlation coefficients /NDWI vary greatly lie in ranges low moderate correlation.