Using Time Series Sentinel-1 Images for Object-Oriented Crop Classification in Google Earth Engine

The purpose of this study was to evaluate the feasibility and applicability of object-oriented crop classification using Sentinel-1 images in the Google Earth Engine (GEE). The research time was two consecutive years (2018 and 2019), which were
used to verify the robustness of the method. Sentinel-1 images of the
crop growth period (May to September) in each study area were composited
with three time intervals (10 d, 15 d and 30 d).