Deriving the Main Cultivation Direction from Open Remote Sensing Data to Determine the Support Practice Measure Contouring

The P-factor for support practice of the Universal Soil Loss Equation (USLE) accounts soil conservation measures and leads to a significant reduction in modelled loss. However, practical application, is most neglected factor overall due high effort determining or lack input data. This study provides new method automatic derivation main cultivation direction from seed rows tramlines on agricultural land parcels using Fast Line Detector (FLD) Open Computer Vision (OpenCV) package open remote sensing data Google Earth™. Comparison with mean aspect each parcel allows determination site-specific measure contouring. After calibration FLD parameters, success rate first application low mountain range Fischbach catchment, Germany, was 77.7% 278 parcels. reasons unsuccessful detection were problems headland detection, existing erosion, widely varying albedo within plots as well individual outliers. use corrected mask enhanced parameterization offers promising improvements higher FLD.