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利用华北平原2013年65景Landsat 8 OLI数据,通过ENVI软件对影像进行预处理,采用面向对象的信息提取和人机交互式解译方法,对华北平原小麦、玉米、水稻、大豆等主要作物分布及种植结构进行了系统的解译,划分了研究区小麦玉米两熟区、小麦水稻两熟区、水稻两熟区、小麦大豆两熟区、玉米一熟区、水稻一熟区分布范围,并分析了研究区农作物种植结构影响因素。结果表明,基于Landsat 8 OLI数据对大区域主要作物种植面积及种植结构遥感解译的技术和方法是可行的,能为研究农作物种植结构提供有效方法。
Landsat 8 OLI data of 65 landscaped areas in North China Plain were used to preprocess the images by ENVI software. Object-oriented information extraction and man-machine interactive interpretation were used to analyze the distribution of main crops such as wheat, maize, rice and soybean in North China Plain And planting structure were systematically interpreted, and the distribution range of wheat-corn double cropping area, wheat-paddy double cropping area, rice double-cropping area, wheat-soybean double-cropping area, corn first-cropping area and rice first-cropping area was divided The influencing factors of crop planting structure in the study area were analyzed. The results show that the technique and method based on Landsat 8 OLI data for interpretation of planting area and planting structure of major crops in large areas are feasible and can provide an effective method for studying crop planting structure.