Reduction of On-side Controls of Catch Crop Fields with Sentinel-2 and Sentinel-1 Phenological Reference Profiles

摘要

On-site controlling of subsidy measures in rural areas are cost-and time-intensive for authorities and can only be done for a small subset of subsidized areas within short time frames. The use of high resolution satellite image time series covers many applications in the field of agricultural monitoring. We present a method for an automated control system based on vegetation indices from Sentinel-2 and Sentinel-1 image time series. We calculated a catch crop phenological reference profile (TS_ref) from a subset of sampling sites in the German federal state Rhineland-Palatinate and compared it with observed Sentinel time series (TS_obs) via Pearson's correlation coefficient. The utilization of the classification results reduces on-site controls noticeably and helps to define areas with higher and lower control demands.