Coupling of phenological information and synthetically generated time-series for crop types as indicator for vegetation coverage information

Soil erosion on agricultural land is a phenomenon with large economical and environmental consequences for both farmers and landscape. The large-scale identification of erosion hotspots as well as the simulation of protection measures require up-to-date information about vegetation coverage which can be provided by the analysis of high resolution remote sensing data. In this study, we present an approach which couples modeled phenological phases with NDV I profiles derived from synthetically generated Landsat time-series of high temporal resolution based on the STARFM algorithm. The approach is applied on a phenological spring phase of Winter Wheat in 2011. On the example of a study site in Central Germany, we show how data sets of up-to-date FV C degrees can be derived.