基于遥感影像的县域冬小麦种植信息提取
Planting information extraction of winter wheat based on remote sensing images at county level

冬小麦是陕西省关中地区重要的粮食作物。本研究以陕西省武功县为例，使用Landsat8 OLI影像作为数据源，综合使用NDVI阈值分割和决策树分类技术提取了武功县2017年冬小麦种植区域，并对各乡镇冬小麦种植面积和空间分布信息进行统计分析。结果表明：（1）在本研究区，冬小麦越冬期结合油菜开花期是利用遥感影像提取冬小麦种植信息的最佳时期组合；（2）运用NDVI阈值分割法结合决策树分类从OLI影像提取冬小麦种植面积的精度达到93%以上；（3）武功县2017年冬小麦种植面积为21 181.97 hm2，下辖各乡镇中长宁和贞元两镇冬小麦种植面积较大，分别占总面积的24%和19%；在县域尺度上，使用遥感技术提取的冬小麦种植面积和空间分布信息是准确可靠的。
Winter wheat is the major grain crop in Guanzhogn region. Based on Landsat 8 OLI image, growth area of winter wheat in Wugong County, Shaanxi Province in 2017 was extracted by NDVI threshold segmentation and decision tree classification.The growth area and distribution of winter wheat in each town were calculated and analyzed. The results showed that: (1) Wintering period combined with flowering period of oil rape was the optimal choice of winter wheat growth information extraction; (2) The precision of winter wheat planting area extracted from the OLI image by NDVI threshold segmentation and decision tree classification was more than 93%;(3) The winter wheat area of Wugong County was 21 181.97 hm2 in 2007. Winter wheat area in Changning and Zhenyuan was larger than other towns and occupied by 24% and 19% of the whole plant area respectively. The growth area and spatial distribution of winter wheat extracted from remote sensing images were reliable.