Mapping soil organic carbon under erosion processes using remote sensing

This study aimed to map soil organic carbon under erosion processes on an arable field in the Republic of Bashkortostan (Russia). To estimate spatial distribution Haplic Chernozem topsoil, we applied Sentinel-2A satellite data and linear regression method. We used 13 bands 15 calculated spectral indices for modelling. A model with average prediction level has been created (R2 = 0.58, RMSE 0.56, RPD 1.61). Based model, cartographic materials content have created. Water flows were determined using Flow Accumulation model. The relationship between carbon, biological activity, conditions is shown. 13C-NMR spectroscopy method was nature humic substances different samples. 213C-NMR analysis, a correlation established reflectivity eroded non-eroded soils. It revealed that effect depends not only quantity but also quality formation conditions.