单时相Sentinel-1A卫星SAR数据水稻信息提取

Rice Information Extraction Based on Single-temporal Sentinel-1A Image SAR Data

以单时相Sentinel-1A GRD为主要数据、单时相Landsat-8和DEM为辅助数据,根据植被生长规律制定水稻识别规则,提取广东省五华县横坡镇水稻种植面积。通过精度验证,总体分类精度高达93.83%,Kappa系数为0.78。研究结果表明Sentinel-1A GRD在水稻识别方面具有较大的发展潜能,为以后的水稻识别提供了有效便捷的识别途径。

Taking the single-temporal Sentinel-1A GRD as the main data, the single-temporal Landsat-8 and DEM as the auxiliary data, according to the rules of vegetation growth, we established the rice identification rules, and extracted the rice planting area of Hengpo Town, Wuhua County, Guangdong Province. The results of accuracy verification show that the Overall classification accuracy is 93.83 %, and Kappa coefficient is 0.78. The study shows that Sentinel-1A GRD has great development potential in rice identification, which can provide an effective and convenient identification approach for rice identification in the future.