Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images
We tested multitemporal RapidEye data for crop mapping in Khorezm, Uzbekistan. Overall accuracy levelled at 85% when using five temporal windows or more. Transition phases between crop growing seasons are relevant for crop mapping. Accurate crop maps can be derived before main irrigation phases in Khorezm. NDVI temporal profiles show potentials for classifying different crop classes.
crop mapping crop phenology temporal window detection random forest central asia