A machine learning approach for accurate crop type mapping using combined SAR and optical time series data

•Agricultural map generation and accuracy evaluation using Sentinel-1 data exclusively.•Agricultural map generation and accuracy evaluation using Sentinel-2 data exclusively.•Investigate on combined use of SAR (Sentinel-1) & optical (Sentinel-2) data to improve classification accuracy.•Investigate on Sentinel-1 and Sentinel-2 multi temporal data influence on classification accuracy.