基于Sentinel-1时间序列数据的肥西县水稻提取研究

Research on Rice Extraction in Feixi County Based on Sentinel-1 Time Series Data

水稻生长过程中会产生物候信息,通过遥感影像可对这一信息进行监测。由于光学影像受云雨影响,存在数据缺失问题,合成孔径雷达数据可有效弥补光学影像缺点。文章以肥西县为例,通过Google earth engine平台,构建一种基于Sentinel-1时间序列数据的水稻种植信息提取方法。通过分析不同地类上SAR后向散射系数的时序特征,采用支持向量机和随机森林方法对所提取的水稻信息进行对比分析。结果表明,Sentinel-1时序数据能有效识别水稻物候生长特征。

Phenological information is produced during rice growth,which can be monitored through remote sensing images.Due to the influence of cloud and rain on optical images,there is a problem of data missing.Synthetic aperture radar data can effectively remedy the shortcomings of optical images.Taking Feixi County as an example,this paper constructs a rice planting information extraction method based on Sentinel-1 time series data through Google earth engine platform.By analyzing the temporal characteristics of SAR backscattering coefficients over different land types,the rice information extracted is compared and analyzed using support vector machine and random forest method.The results shows that Sentinel-1 time series data can effectively identify rice phenological growth characteristics.