Evaluation of Sentinel-1 and -2 time series to derive crop phenology and biomass of wheat and rapeseed: northern France and Brittany case studies

摘要: Crop monitoring at a fine scale is critical from an environmental perspective since it provide crucial information to combine increased food production and sustainable management of agricultural landscapes. The recent Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) optical Sentinel-2 (S-2) time series offer great opportunity monitor cropland (structure, biomass phenology) due their high spatial temporal resolutions. In this study, we assessed the potential Sentinel data derive Wet Biomass (WB), Dry (DB), water content crop Phenological Stages (PS). This study focuses on wheat rapeseed, which represent two most important seasonal crops world in terms occupied area. Satellites ground were collected over French temperate landscapes, northern France Brittany. Spectral bands vegetation indices derived S-2 images backscattering coefficients polarimetric indicators S-1 images. We used linear models estimate Parameters (CP) rapeseed crops. Satellite then classified using random forest incremental procedure based importance rank input features discriminate PS. Results showed that more efficient than CP while better for wheat. demonstrated 2 predict principal PS (kappa=0.75) secondary misclassified. For wheat, succession predicted was consistent, further research required confirm 2.