Soil conductivity model based on EM38 data and remote sensing image

Remote-sensing data based salinity indices or band combinations were developed to monitor the occurrence pattern of salt-affected soil.The EM38 is applied to measure the conductivity of the soil.The paper presents an integrated approach to characterize soil salinity using remotely-sensed data and EM38 data.The research took the saline soil of Weigan-Kuqa River Delta Oasis to the Southeast margin of the Tarim Basin in Xinjiang as objects,four salinity indices were selected to establish regression model between SI and soil apparent conductivity.Results indicated that growth model can characterize well the changing trend of electrical conductivity at each soil layer.The prediction error of each profile of electrical conductivity was analyzed.The correlation coefficient between measured point and predictive value via growth model was 0.508 at top soil inside the oasis,and reached a significant level at each profile in the desert.The results demonstrated that growth model was not fit for irrigated soil.Growth model was used to retrieve soil apparent conductivity of the desert.The research provided some scientific basis with soil salinization detection.