基于HJ-1CCD影像的冬小麦种植面积提取研究  

Study on Winter Wheat Planting Area Extraction Based on HJ-1 CCD Images

作　　者：李峰[1] 赵红[1] 赵玉金[1] 商林[1] 曹张驰 

机构地区：[1]山东省气候中心,山东济南250031 [2]临沂市气象局,山东临沂276004

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)

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.

关 键 词：Ⅲ-1 CCD影像 山东省 冬小麦 决策树分类 

分 类 号：S127[农业科学—农业基础科学]