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- W2979542397 abstract "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." @default.
- W2979542397 created "2019-10-18" @default.
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- W2979542397 date "2019-08-01" @default.
- W2979542397 modified "2023-10-03" @default.
- W2979542397 title "Reduction of On-side Controls of Catch Crop Fields with Sentinel-2 and Sentinel-1 Phenological Reference Profiles" @default.
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- W2979542397 doi "https://doi.org/10.1109/multi-temp.2019.8866901" @default.
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