基于新遥感数据源的县域冬小麦种植面积提取

Winter Wheat Planting Area Extraction Based on New Remote Sensing Data at County Level

Landsat-8卫星的成功发射为农业遥感提供了新的重要数据源。以虞城县为研究区域,探讨基于Landsat-8影像估算县域冬小麦种植面积的可靠性,讨论不同分辨率影像的提取精度。选取冬小麦起身生拔节长期的影像以最大程度的扩大冬小麦与背景地物的波谱差异,根据波谱特征构建提取冬小麦种植面积的决策树模型。结果表明:与统计数据对比,使用30 m空间分辨率影像提取的精度为96.30%,使用15 m空间分辨率影像提的取精度达到99.17%,该方法可为县域冬小麦面积提取提供技术支撑。

Successful launch of the Landsat-8 satellite provides important new data source for agriculturalremote sensing.Taking Yucheng County as the study area,we explored winter wheat planting area estimationmethod at county level based on Landsat-8 imagery.In order to expand the differences of spectrum featurebetween winter wheat and other surface features,we selected the imagery of winter wheat in growing season.According the spectral features differences between kinds of surface features,decision tree model of extractionwinter wheat planting area was constructed.The results showed that：the extraction accuracy was 96.30% usingthe original imagery of 30 m spatial resolution,the extraction accuracy was 99.17% using the fusion imagery of15 m spatial resolution.This method can provide technical support for winter wheat area extraction at countylevel.