Winter Rapeseed dataset 2024

This study proposes a remote sensing mapping Framework for Winter Rapeseed that integrates multi-temporal Optical and synthetic aperture radar (SAR) data - WROS (Winter Rapeseed Optical SAR Integration Framework). This framework is based on an in-depth analysis of the phenological characteristics of the rapeseed growing season, constructs a dynamic time window selection mechanism, and combines a multi-dimensional feature collaboration strategy to enhance the response ability to the dynamic changes of phenology. At the same time, it improves the robustness and regional adaptability of the model in complex environments and is suitable for large-scale winter rapeseed remote sensing mapping tasks. To improve the recognition accuracy, the research innovatively designed two feature indices: The optical Winter Crop Response Difference Index based on Sentinel-2 data and the Dynamic Rapeseed Detection Index based on Sentinel-1 data The DRDI effectively highlights the differences in optical and radar temporal responses between rapeseed and non-rapeseed crops.