星载双极化SAR冬小麦物候期识别方法

Phenological period identification of winter wheat based on spaceborne dual-polarization SAR

摘要:

冬小麦是中国主要的粮食作物之一，准确及时地获取冬小麦物候信息是冬小麦长势监测和产量预估的必要条件。星载合成孔径雷达(SAR)是一种微波遥感设备，具有全天时、全天候的优势，可实现对周期性农作物物候期大范围监测。基于时间序列Sentinel-1A SAR数据，提出一种星载双极化SAR冬小麦物候期识别方法。该方法基于特征值分解和极化散射分析技术，提取不同物候期冬小麦的后向散射系数、极化熵、主导散射角等参数，实现冬小麦物候期识别。实验结果表明，物候期识别总体精确度达到79%。该方法在冬小麦生长监测方面具有实用推广价值。

Abstract:

Accurate and timely acquisition of the phenological information of winter wheat which is one of the main crops in China, is a prerequisite for its growth monitoring and yield estimation. Spaceborne Synthetic Aperture Radar(SAR) is an all-time and all-weather microwave remote sensing device, which can realize large-scale monitoring of periodic crop phenology. According to the time series Sentinel-1A SAR data, a phenological period identification method of winter wheat is proposed based on spaceborne dual-polarization SAR. This method uses eigenvalue decomposition and polarization scattering analysis to extract the backscattering coefficient, polarization entropy, scattering angle, etc., in different phenological stages to realize winter wheat phenology identification. The experimental results show that the overall accuracy of phenological phase identification reaches 79%. This method has practical value in winter wheat growth monitoring.