Timely and accurately obtaining crop planting structure is crucial for crop planting structure adjustment. This paper used Multi-temporal GF-1 PMS images to extract crop planting structure, interpreted winter wheat, spring peanut, early-maturing watermelon, summer corn, summer peanut by the hierarchical classification meth-od, and analyzed crop planting patterns by overlay analysis in Zhuxian township during a vegetable planting year. The results showed that (1) There were 10 kinds of planting patterns in Zhuxian town, of which winter wheat sum-mer maize was a major crop model, accounting for 49. 7%. (2)The patch richness of PR reached 9, the Shannon diversity index SHDI reached 1 . 4836 , which indicated that the town planting pattern was multiple variety agricul-tural planting structure. (3) The hierarchical classification method can improve the extract accuracy of each crop, which can reach more than 80%. PMS high resolution image can clearly define express parcel boundaries and show the spatial distribution of the non staple crops. GF-1 PMS provided more choices on multiple scales of agricultural monitoring.%[目的]及时准确获取农作物种植结构信息,对农作物种植结构调整具有重要意义.[方法]文章以多期GF-1卫星PMS影像为主要数据源,通过分层分类方法成功提取了朱仙镇一个种植年内秋播蔬菜、冬小麦、 春花生、 早熟西瓜、 夏玉米、 夏花生等农作物,并通过叠加分析得到朱仙镇的农作物种植模式.[结果]朱仙镇有10种种植模式,以一年两熟的冬小麦-夏玉米为主要倒茬模式,占比49.7%,其他9种种植模式所占比例之和接近50%;从整体景观的角度对朱仙镇的主要作物种植模式进行衡量,斑块丰富度PR达到9.0,香农多样性指数SHDI达到1.4836,说明朱仙镇种植模式多样,有利于多元农业种植结构发展;分层分类的方法能够延续最优提取结果的精度,各类作物提取精度均达到了80%以上.[结论]PMS影像的高分辨率能够清晰的表达地块边界,一定程度上呈现了非大宗作物的空间分布,GF-1卫星PMS为多尺度的农业监测提供了更多的选择.
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