摘要
针对目前省域冬小麦种植面积遥感监测业务化运行中所存在的监测精度与成本之间相互制约的问题,本研究选取冬小麦主产区——山东省为研究区域,利用HJ-1卫星提供的CCD遥感影像,采用决策树分类法,同时以山东省土地利用类型之林地数据和野外地面调查数据作为辅助,通过分区解译提取出山东省冬小麦种植面积和分布区域。研究表明:利用HJ-1 CCD影像进行山东省冬小麦种植面积提取是可行的,位置精度和面积总量精度分别达到93.0%和96.8%,对国产卫星的推广应用具有良好的示范作用。
On account of the mutual restricting problems among the accuracy and cost in the measure- ment of winter wheat planting area at provincial scale, it was studied to extract its planting and distribution ar- eas using the HJ - 1 CCD images in this paper. Shandong Province as the main production area of winter wheat was selected for this research. Using the decision tree classification and partition interpretation methods, which solved the spectral difference problems caused by growth period, species and farming, the winter wheat planting and distribution areas were extracted with the forest land data and the field survey data as assist. The results showed that the position accuracy and total area accuracy were up to 93.0% and 96.8% respectively, which preferably reflected the winter wheat planting area and distribution in Shandong Province. It was also a good model for the promotion and application of domestic satellites.
出处
《山东农业科学》
2015年第5期109-114,共6页
Shandong Agricultural Sciences
基金
公益性行业(气象)科研专项(GYHY201306046)
山东省气象局青年科研基金项目(2014SDQN04)
关键词
Ⅲ-1
CCD影像
山东省
冬小麦
决策树分类
HJ - 1 CCD images
Shandong Province
Winter wheat
Decision tree classification