Retrieval of Soil Organic Carbon in Cinnamon Mining Belt Subsidence Area Based on OLI and 6SV

Remote sensing retrieval has been widely used for dynamic monitoring of the physical and chemical properties of regional soil,but there are few studies on the areas with low organic carbon content and uneven underlying surface which have unremarkable soil spectral characteristics.The cinnamon soil belt in Loess Plateau has multiplicity topography,widely distributed hills and low organic matter content.Large areas soil degradation caused by mining activities has resulted in the fact that soil spectroscopy characteristics are strongly disturbed,which has some inhibiting effect on the remote sensing retrieval accuracy of soil organic carbon content at the regional scale.Based on cinnamon soil belt with typical coal mining subsidence area in Shanxi Province as an example,this research used the surface reflectance and outdoor sample data from the field of coal mining subsidence area to retrieve soil organic carbon content.Conducting comparative experiments on the atmospheric correction methods of the Landsat8 OLI image in the study area by the FLAASH model and the 6SV model combined with high spatial and temporal resolution aided meteorological data to analyze the effect on soil spectral curve and organic carbon content in the mining subsidence area of the cinnamon soil belt and recognize sensitive bands.Multiple linear regression(MLR),BP neural network(BP)and partial leas squares regression(PLSR)model were established to retrieve soil organic carbon content by using the original spectral reflectance R and mathematical transformation forms such as R,log(1/R)and R′.The results showed that the atmospheric correction effect of the 6SV model was better than that of the FLAASH model which could effectively eliminate the interference of atmosphere and topography to reflectance.The reflectance of visible light decreased and the near-infrared rose obviously.The soil reflectance spectra of different organic matter content was clear.The bands of 640~670,850~880,1 570~1 600,2 110~2 290 nm were highly indicative of soil organic